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1
Singh Kotlia, Bahadur, and Kalpana Gururani. "NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) BASED LAND USE LAND COVER CHANGE DETECTION IN PARTS OF NAINITAL DISTRICT, KUMAUN LESSER HIMALAYA, INDIA." International Journal of Advanced Research 11, no. 11 (2023): 651–58. http://dx.doi.org/10.21474/ijar01/17866.
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This study examines the transformation of surface topography in Nainital district (part of Kumaun Himalaya of Uttarakhand), India, from 1972 to 2022, shedding light on the profound changes that have occurred over this half-century period. In 1972, the land area was primarily dominated by forested areas, agriculture and water bodies, constituting 71.35%, 24.79%, and 1.19% of the total land cover, respectively. However, by 2022, these percentages have dramatically shifted to 60.73%, 6.91% and 0.46%, indicating a significant reduction in forested areas, agriculture and water bodies. In stark contrast, barren lands, settlements and grasslands, which occupied a merely 0.78%, 0.91%, and 0.98% of the land in 1972, have expanded considerably to 2.42%, 1.79% and 28.13% by 2022. These substantial changes are graphically represented, further reinforcing the alarming trend of diminishing forests, dwindling agriculture and reduced water resources, juxtaposed with the ominous rise of barren lands, settlements and extensive grasslands. Notably, the NDVI (Normalized Difference Vegetation Index) analysis unveils a clear downward trajectory in forested areas, agriculture and water bodies, accompanied by a conspicuous increase in barren lands, settlements and grasslands. This trend implies that human encroachment and deforestation have driven the intensification of light vegetation (grasslands) at the expense of dense vegetation (forests), exacerbating environmental concerns within the state. The results of this study highlight the significance of these critical land use changes to mitigate their potentially adverse consequences.
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Sharma, U., S. Jalan, Y. Kant, and A. Vyas. "SPATIO-TEMPORAL DYNAMICS OF URBAN THERMAL ENVIRONMENT IN UDAIPUR CITY, RAJASTHAN, INDIA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 1545–51. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1545-2023.
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Abstract. The Udaipur urban agglomeration was selected to analyse the urban heat island (UHI) effect in the area from 2005 to 2017. Landsat 7 ETM+ sensor data was used to derive land surface temperatures (LST) and map landscape characteristics. The agglomeration was classified into seven land use land cover classes including agriculture cropped, agriculture fallow, barren, built up, scrub, vegetation and water using unsupervised classification method. The LST results were obtained using NDVI method. Urban heat island intensities were mapped using z-score method. Regions with UHI values of above 2 standard deviations were considered to reflect UHI effect. Results show an overall decrease of 10.2 percent in agricultural cropped and fallow lands. The scrub class also shows a moderate decline of 2.3 percent. Increase in area were observed for built up, barren and vegetation classes by 8.8, 2.1 and 1.9 percent respectively. The dominant LULC change was the transformation of agricultural lands to built-up class. The class-wise mean LST observations increase in order of water, vegetation, cropped, fallow, built up, scrub and barren land. The mean LST records an increase of 1.7° C from 30.1° C to 31.8° C over the study period. Results suggest that UHI effects are more prominent in urban fringe area corresponding with the built up and barren land cover classes contrary to its core area. Built up areas surrounded by barren lands left vacant for city’s sprawl in the future exhibit highest UHI intensities.
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Paulson, T. Fiona, and Dr J. Banupriya. "Fabrication of Vegan Leather from Botanical Barren Extracts on Blended Fabric: A Vanillin-Enhanced Approach." Indian Journal Of Science And Technology 18, no. 19 (2025): 1515–29. https://doi.org/10.17485/ijst/v18i19.412.
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Objectives: The textile industry is increasingly shifting towards sustainability, eco-friendly materials and innovation. In this study, we present a novel approach in developing plant-based vegan leather using Solanum lycopersicum (tomato plant), a crop highly cultivated for consumption in India, particularly in Tamil Nadu. The high value of post- consumption waste contributes significantly to the environment pollution and creates landfills. To address this issue, agro-barren was collected from local farmers and the markets in Coimbatore, Tamil Nadu. The processing of bio-solution typically employed in food industry. Method: The cleaned agro-barren material underwent a modification of leather fabrication process, including natural dyeing process using Ceratonia siliqua (Carob) extracts and overlayed with organic cotton to produce vegan leather sheet. Finding: The result material was characterized following ISO standards using Scanning Electron Microscopy (SEM), surface elemental analysis, colour strength evaluation, thickness measurement, tensile strength testing, and colour fastness assessment. Novelty: The study demonstrates the transformation of agriculture barren into a sustainable leather alternative, offering a viable, environment friendly solution for the textile and fashion industry, the finding contributes the border circular economy and waste valorisation in material science. Keywords: Bio-degradable, Solanum lycopersicum, Ceratonia siliqua plan-based, Organic cotton, Natural dye, Waste valorization, Agriculture-barren
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Chen, Zhaoya, Niandong Guo, and Yaheng Chen. "Suitability Evaluation and Engineering Matching for Agricultural Development of Barren Grassland in Mountainous Area: A Case Study of County Scale." Sustainability 15, no. 16 (2023): 12330. http://dx.doi.org/10.3390/su151612330.
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Barren grasslands are an important reserve resource of cultivated land in mountainous areas. The exploitation of barren grassland for agricultural use has played a role in ensuring food security and people’s livelihood in many countries and regions. The suitability evaluation of agricultural-use development, based on the conditions of barren grassland itself and the engineering matching, can not only ensure the sustainable development of agriculture but also avoid the ecological negative effects caused by excessive engineering. According to the research, the agricultural development of barren grassland needs to be evaluated from the two angles of natural suitability and engineering suitability, and an innovative “index level serial number summation method” is proposed. The suitability of barren grassland for agricultural use development was divided into three categories: barren grassland suitable for cultivation, barren grassland suitable for forestry, and barren grassland suitable for prataculture. The barren grassland suitable for cultivation was selected for type division and engineering-accurate matching. Taking Tang County as a research area, an example was provided through a combination of theoretical research. According to the characteristics of barren grassland in Tang County, the evaluation indexes of natural suitability and engineering suitability were selected, and the suitability of barren grassland for agricultural development was evaluated and graded. A classification system for the utilization of barren grassland suitable for cultivation is constructed, the required engineering types are explored to eliminate the main limiting factors, and the utilization types are matched with the engineering combination types. The barren grassland suitable for cultivation in the study area can be divided into 37 types, which can match eight engineering combinations. This study proposes a systematic method for the identification, classification, rating, and engineering matching for arable land reserve resources. The study can provide the basis for the effective utilization and accurate development of land resources.
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T., Fiona Paulson, and J. Banupriya Dr. "Fabrication of Vegan Leather from Botanical Barren Extracts on Blended Fabric: A Vanillin-Enhanced Approach." Indian Journal of Science and Technology 18, no. 19 (2025): 1515–29. https://doi.org/10.17485/IJST/v18i19.412.
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Abstract <strong>Objectives:</strong> The textile industry is increasingly shifting towards sustainability, eco-friendly materials and innovation. In this study, we present a novel approach in developing plant-based vegan leather using Solanum lycopersicum (tomato plant), a crop highly cultivated for consumption in India, particularly in Tamil Nadu. The high value of post- consumption waste contributes significantly to the environment pollution and creates landfills. To address this issue, agro-barren was collected from local farmers and the markets in Coimbatore, Tamil Nadu. The processing of bio-solution typically employed in food industry. <strong>Method:</strong> The cleaned agro-barren material underwent a modification of leather fabrication process, including natural dyeing process using Ceratonia siliqua (Carob) extracts and overlayed with organic cotton to produce vegan leather sheet. <strong>Finding:</strong> The result material was characterized following ISO standards using Scanning Electron Microscopy (SEM), surface elemental analysis, colour strength evaluation, thickness measurement, tensile strength testing, and colour fastness assessment. <strong>Novelty:</strong> The study demonstrates the transformation of agriculture barren into a sustainable leather alternative, offering a viable, environment friendly solution for the textile and fashion industry, the finding contributes the border circular economy and waste valorisation in material science. <strong>Keywords:</strong> Bio-degradable, Solanum lycopersicum, Ceratonia siliqua plan-based, Organic cotton, Natural dye, Waste valorization, Agriculture-barren
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Sushma, Neetu Rani, and Bratati Dey. "Assessment of land use and land cover changes of Damdama wetland, Gurugram using various change detection techniques." ECOLOGY, ENVIRONMENT AND CONSERVATION 29, suppl (2023): 35–44. http://dx.doi.org/10.53550/eec.2023.v29i06s.005.
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Deterioration of water quality, habitat loss, and degradation of terrestrial and aquatic ecosystems, are serious global environmental concerns. Over the years, wetland ecosystems have undergone significant changes because of human activities particularly urbanization, agriculture, and industrial expansion. The principal objective of this study was to monitor the in and around changes over Damdama wetland using remote sensing and geographic information systems. The Land use and land cover changes in Damdama wetland were analyzed for the period of 2010-2020 for two seasons i.e., pre-monsoon and post-monsoon using ERDAS Imagine version 2014. The classification was based on six different classes i.e., agriculture, barren land, built-up, fallow land, vegetation and water body using maximum-likelihood supervised classification. The resulted Land use and land cover changes map showed an increase of 9.41%, 14.83%, 3.95% and 0.15% in agriculture, barren land, built-up and water body respectively from 2010 to 2020 in pre-monsoon season whereas the fallow land and vegetation decreased by 15.15% and 13.20%. In post-monsoon season barren land, built-up and fallow land increased by 9.6%, 4.13%, and 1.38% respectively whereas agriculture, vegetation and waterbody decreased by 6.5%, 8.42% and 0.19%, respectively. Overall accuracy was found to be 90%, 92% for pre-monsoon and post-monsoon season respectively in the year 2010, while 94% for both the seasons in the year 2020. The results indicated that three different analytical techniques applied to assess the changes showed similar trend. Overall, such transformation may pose a serious threat to wetland ecosystem in future.
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Kumar, Jitendra, Ram Kumar Sahu, and Sudarshan Prasad. "Assessment of Land Use-Land Cover Changes in Samastipur District of Bihar (India) Using Geo-Informatics." International Journal of Environment and Climate Change 13, no. 6 (2023): 444–53. http://dx.doi.org/10.9734/ijecc/2023/v13i61842.
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The assessment and analysis of Land Use/Land Cover (LULC) changes are required to identify the land use changes from year to year which plays a critical role in planning and implementation of developmental activities. The present study aims to assess LULC changes in Samastipur district of Bihar using Remote Sensing (RS) and Geographical Information System (GIS). The LULC maps were prepared using LANDSAT-5 and LANDSAT-8 images by adopting object based image classification technique. Assessments of LULC changes were done @ 5 years, @ 10 years and @ 20 years during 2000-2020. The results indicated that the agriculture land coverage increased at high rate during 2000-2005 and 2005-2010; and after that it is increasing at slow rate. The natural vegetation coverage is continuously decreasing during years 2000-2020 while settlement is continuously increasing during this period with notable increase during 2000-2005 and 2015-2020. In the time interval of 10 years (2000-2010), the agriculture land area increased by 22.17%; natural vegetation area decreased by 38.04%; the water-bodies decreased by 46.69%; sand and barren land decreased by 61.27% and settlement area increased by 15.62%. Over the next 10 years (2010-2020), area covered by agriculture land, settlement, water-bodies and sand and barren land increased by 8.05%, 38.30%, 26.27% and 44.65% respectively while area covered by natural vegetation decreased by 75.24%. During time interval of 20 years (2000-2020), agriculture land area and settlement area increased by 32% and 59.91% respectively while natural vegetation, sand and barren land and water-bodies decreased by 84.66%, 43.98% and 32.68% respectively. The analysis of the results indicates that the natural vegetation has decreased at fast rate in the recent years. Therefore, proper attention is required towards stopping of cutting of natural vegetation in the district to save the environment.
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Garoon, E. M., and M. B. Mule. "A multiscale analysis and classification of normalized difference vegetation index value method in Kannad Taluka, Aurangabad District, using remote sensing and GIS." Journal of Environmental Biology 44, no. 3 (2023): 335–44. http://dx.doi.org/10.22438/jeb/44/3/mrn-5055.
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Aim: The main objective of the present study is to quantify and assess the changes in vegetation cover by using NDVI values from the Kannad Taluka of Aurangabad district, Maharashtra, India. The changes were studied during the period 2013 to 2020 to identify the probable causes of change in NDVI. Methodology: The present study utilized Landsat images to evaluate and track the changes in vegetation cover by using the NDVI index values and classified in eight classes during seven years period. Results: Two of the major NDVI classifications of this area were agriculture and urban area which showed a significant decrease in the year 2020 while in the water bodies, dense forest, sparse forest, grass land mixed with shrubs, grass land and barren land were increased. Area covered by agriculture and urban area was found 36.40% and 4.47 % in 2013 and which was noted to reduce by 21.64% and 2.53 % in 2020. The water bodies, dense forest, sparse forest, grass land and shrubs, grass land and barren land were found to be 1.79%, 6.18%, 9.71%, 12.71%, 12.92%, and 15.82 % in the year 2013 and were increased up to 2.17%, 14.28%, 13.52%, 13.49%, 14.54% and 17.83 % in 2020, respectively. Interpretation: Area covered by agriculture has decreased by 14.76% in seven year period while the barren land increased by 2.01% in seven year period in Kannad Taluka. The loss of forest cover might be due to increased human population in the study area. Key words: Agricultural land, GIS, Kannad Taluka, Remote Sensing, Vegetation cover
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Dehingia, Holly. "ASSESSMENT OF LAND USE AND LAND COVER PATTERN OF GUJARAT STATE." Geographical Analysis 9, no. 1 (2020): 52–58. http://dx.doi.org/10.53989/bu.ga.v9i1.10.
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Land use and land cover transformation have turned out to be a dynamic factor in recent strategies for dealing with natural resources and monitoring environmental changes. The research aimed to assessment of Land use and Land cover pattern of Gujarat State. The study area was classified and mapped into four broad land cover classes i.e., agriculture, fallow, barren/unculturable/wastelands, built-up, forest, wet lands and water bodies. The land use and land cover data were collected from NRSC of the year 2015-16. The state has been categorized into four divisions i.e., Central Gujarat, north Gujarat, Saurashtra-Kutch & south Gujarat. The Land use and land cover of Gujarat state to the geographical area of the state has 52.1% of its area under agriculture, 6.3% of fallow land, 21.0% of Barren/Unculturable/wastelands, 2.7% of Builtup, 11.1% of forest, 3.4% of wetlands and 3.4% of water bodies. Keywords: Land Use; Land Cover
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Pandey, Prabhat Ranjan, Satvaan Singh, Sauhard Dubey, et al. "Assessment of Soil Microbial Status under Different Land Use System at Various Depth." International Journal of Environment and Climate Change 13, no. 10 (2023): 603–15. http://dx.doi.org/10.9734/ijecc/2023/v13i102692.
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The present study was undertaken to assessment of soil microbial status under different land use system at various depth of main campus of University at Acharya Narendra, Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) during 2018-2019.
 The land use systems selected for study were rice-wheat cropping system (RWCS), legume based cropping system (LBCS), and vegetable based cropping system (VBCS). Plantation land (mango, aonla and bael orchard), forest land (shisham, teak and eucalyptus) and barren land (NSP-6 farm). Soil samples were taken with GPS system from four depths viz. 0-15, 15-30, 30-45 and 45-60cm in order to analyze microbial population (bacteria, fungi and actinomycetes). The bacterial population (cfu × 105 g-1) under all the four land use viz. crop land, plantation land, forest land and barren land was decreased with increasing soil depth, which ranged from 2.76 to 4.95 cfu × 105 g-1 soil. The average bacterial population values were higher in forest land followed by plantation land, crop land and barren land. The fungi population (cfu × 103 g-1) under all the four land use viz. crop land, plantation land, forest land and barren land was, also, decreased with increasing soil depth at all land use system and ranged from 0.85 to 1.77 cfu × 103 g-1 soil. The average fungi population values were higher in forest land followed by crop land, plantation land and barren land. The actinomycetes population (cfu × 104 g-1) under all the four land use viz. crop land, plantation land, forest land and barren land was decreased with increasing soil depth at all land use system. The population varied from 0.57 to 1.02 cfu × 104 g-1 soil. The average actinomycetes population values were higher in forest land followed by plantation land, crop land and barren land.
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Li, Zhenwang, Quan Tang, Xu Wang, Baorui Chen, Chengming Sun, and Xiaoping Xin. "Grassland Carbon Change in Northern China under Historical and Future Land Use and Land Cover Change." Agronomy 13, no. 8 (2023): 2180. http://dx.doi.org/10.3390/agronomy13082180.
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Land use and land cover (LULC) change has greatly altered ecosystem carbon storage and exerted an enormous impact on terrestrial carbon cycling. Characterizing its impact on ecosystem carbon storage is critical to balance regional carbon budgets and make land use decisions. However, due to the availability of LULC data and the strong variability in LULC change, uncertainty remains high in quantifying the effect of LULC change on the historical and future carbon stock. Based on four historical LULC maps and one future LULC projection, this study combined the Land Use and Carbon Scenario Simulator (LUCAS) with a process-based CENTURY model to evaluate the historical and future LULC change and its impact on grassland carbon storage from 1991 to 2050 in northern China. Results showed that grassland experienced a drastic decrease of 16.10 × 103 km2 before 2005, while agriculture and barren land increased by 16.91 × 103 km2 and 3.73 × 103 km2, respectively. After that, grassland was projected to increase, agriculture kept steady, and barren land decreased. LULC change has resulted in enormous total ecosystem carbon loss, mainly in agro-pasture areas; the maximum 8.54% of carbon loss happened in 2000, which was primarily attributed to agriculture to grassland, forest to grassland, grassland to agriculture, and grassland to barren. Before 2000, the grassland net biome productivity was projected to be −15.54 Tg C/yr and −2.69 Tg C/yr with and without LULC change. After 2001, the LULC change showed a positive impact on the grassland carbon balance, and the region was projected to be a carbon sink. Ecological projects have made a significant contribution to grassland carbon storage. The paper provides a framework to account for the effects of LULC change on ecosystem carbon and highlights the importance of improving grassland management in balancing the grassland carbon budget, which is helpful to understand the regional carbon budget and better inform local land use strategies.
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Hou, Yifeng, Yaning Chen, Zhi Li, et al. "Land Use Dynamic Changes in an Arid Inland River Basin Based on Multi-Scenario Simulation." Remote Sensing 14, no. 12 (2022): 2797. http://dx.doi.org/10.3390/rs14122797.
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The Tarim River Basin is the largest inland river basin in China. It is located in an extremely arid region, where agriculture and animal husbandry are the main development industries. The recent rapid rise in population and land demand has intensified the competition for urban land use, making the water body ecosystem increasingly fragile. In light of these issues, it is important to comprehensively grasp regional land structure changes, improve the degree of land use, and reasonably allocate water resources to achieve the sustainable development of both the social economy and the ecological environment. This study uses the CA-Markov model, the PLUS model and the gray prediction model to simulate and validate land use/cover change (LUCC) in the Tarim River Basin, based on remote sensing data. The aim of this research is to discern the dynamic LUCC patterns and predict the evolution of future spatial and temporal patterns of land use. The study results show that grassland and barren land are currently the main land types in the Tarim River Basin. Furthermore, the significant expansion of cropland area and reduction in barren land area are the main characteristics of the changes during the study period (1992–2020), when about 1.60% of grassland and 1.36% of barren land converted to cropland. Over the next 10 years, we anticipate that land-use types in the basin will be dominated by changes in grassland and barren land, with an increasing trend in land area other than for cropland and barren land. Grassland will add 31,241.96 km2, mainly in the Dina River and the lower parts of the Weigan-Kuqu, Kashgar, Kriya, and Qarqan rivers, while barren land will decline 2.77%, with significant decreases in the middle and lower reaches of the Tarim River Basin. The findings of this study will provide a solid scientific basis for future land resource planning.
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Jain, Ajit Kumar, S. K. Katiyar, and M. S. Chauhan. "Assessing landscape changes of catchment area of Upper Lake Bhopal using patch analysis." International Journal for Innovation Education and Research 2, no. 7 (2014): 96–101. http://dx.doi.org/10.31686/ijier.vol2.iss7.213.
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Anthropogenic activities impart serious challenges on wetland management. The issues of Anthropogenic Activities manifest in the form of environmental degradation, point and non-point source pollution of lake water. Catchment area of upper lake Bhopal has been witnessing the same scenario; raising the question of its planning and management to control water pollution. It shows the necessity to analyse and study the pattern of land use & land cover(LULC). In order to assess the LULC pattern and spatio-temporal dynamics the changing pattern of patch number(NP), class area(CA), mean patch size(MPS), mean shape index (MSI), Shannon’s Diversity index(SHDI), Simpson’s Diversity Index(SDI) of all land use/land cover categories. In this researchpaper above mentioned parameters were measured and analyzed for landuse/landcover change from year 2003 to 2011. Area of agriculture and built up land expanded 16.18% and 4.77% while number of patches reduced by 332 and 187 for these two classes respectively. On the other hand class area of vegetation and barren land reduced 9.33% and 11.62%. Few patches of vegetation completely eliminated resulted in reduction of number of patches by 1250. Increased no. of patches of barren land by 150 shows fragmentation. Reduction in diversity indices indicates that area becomes less diversified during study period. During the period of 2003 to 2011 shape of patches of agriculture and built up land becomes more complex and that of barren land and vegetation converted to simpler shape. These indices provided meaningful insights pertaining to the spatiotemporal dynamics prevailing in the catchment area of Upper Lake Bhopal.
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Matsuda, Toshirou. "Challenge to Agriculture in a Sandy Area Changing Barren Land into Fertile Field." TRENDS IN THE SCIENCES 3, no. 12 (1998): 50–51. http://dx.doi.org/10.5363/tits.3.12_50.
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Mishra, Kriti, and Deepa Srivastava. "Isolation of Microorganisms from the Barren Soil of Gorakhpur, Uttarpradesh, India." International Journal of Current Microbiology and Applied Sciences 14, no. 3 (2025): 165–71. https://doi.org/10.20546/ijcmas.2025.1403.019.
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This article clarifies the presented content regarding the isolation of microorganisms from the barren soil and elucidate their presence in soil. This content is focused to isolate microbiota from the soil which have not capacity to yield properly and cannot be suitable for agriculture. The microbial community plays their role in plant growth same as inorganic and organic materials. The purpose is to focus on the idea that microbes are present or absent in soil when it is considered as barren which means lack of productivity. To know the type of biota and to find out their role in soil, isolation is required. To isolate biota, various methods; as serial dilution, media prepration (LB media-Luria Bertani media and PDA media-Potato Dextrose Agar media), streaking and spreading methods, Gram staining, Antibiotic susceptibility test, DNA extraction, gel electrophoresis are performed. Passing through the process of isolation, there is bacterial and fungal colony observed but there are very few numbers of colony and less productive microbes are isolated. Therefore, it can be concluded that barren soil also contains microbes but in less quantity and with low viability.
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Bhasin, Anchal, Padma Dolker, Pankaj Raina, and Sunetro Ghosal. "Land Use and Land Cover Change Detection Using Remote Sensing in the Trans Himalayan Region of Ladakh, India." ECS Transactions 107, no. 1 (2022): 2985–97. http://dx.doi.org/10.1149/10701.2985ecst.
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Mapping and monitoring of land use and land cover types along with detection of change are essential in the Trans Himalaya to understand landscape dynamics and assist with planning for sustainable development. This study attempts to monitor land use and land cover in Ladakh and identifies patterns of spatio-temporal change in land use using multi-temporal satellite images. Landsat images for three different time-periods (1999, 2009, and 2019) were used to quantify changes between 1999 and 2019. Eight major classes were identified on satellite images: barren land, agriculture, built-up, waterbody, wetland, range land, scrub land, and snow/glacier. Results indicate that major land use in Ladakh is barren land in all three time-periods and that built-up area has increased significantly by 123 sq km (800%) between 1999 and 2019. The possible causes for change in the region include geopolitical importance of the region, growth of the tourist sector with increase in number of tourists, and change of socio-cultural lifestyle.
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Mohamed Jamil, Hana, Nurul Suliana Ahmad Hazmi, Maizaitoldura Mohd Isa, et al. "Multi-temporal Image Analysis for Land Cover Classification and Change Detection of Kuching Division, Sarawak." Journal of Advanced Geospatial Science & Technology 4, no. 2 (2024): 151–68. https://doi.org/10.11113/jagst.v4n2.91.
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Kuching and its surrounding area are vital in Sarawak’s economic growth. Over the years, the transformation of its land cover (LC) has brought significant ecological, physical, and socioeconomic consequences. Updated and precise LC maps are essential for urban planning, sustainable development, and environmental forest degradation monitoring. This study mainly focuses on LC classification using the Support Vector Machine Classifier (SVM) algorithm. The change has been identified for five general classes, which are Urban Land, Barren Land, Forest Land, Agriculture Land, and Water Bodies, for 35 years using Landsat 5 TM image dated 26 June 1988 and Landsat 9 OLI image dated 16 April 2023 in ArcGIS 10.6.1 software. Change detection analysis indicated that from 1988 to 2023, the LC patterns changed significantly. The most substantial changes were urban land, which increased significantly from 6,200.71 ha in 1988 to 22,144.76 ha in 2023, which represents a net increase of 15,944.05 ha or 3.88 per cent change (%), followed by agriculture land, barren land, forest land, and water bodies categories. The results show good classification performance because the user’s accuracy for every class is above 85%. LC change, which displays the spatial expansion of the urban land in Kuching, indicates the development of Sarawak is in line with the aspiration to be a developed state by 2030 (Post COVID-19 Development Strategy 2030).
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Hou, Yifeng, Yaning Chen, Jianli Ding, Zhi Li, Yupeng Li, and Fan Sun. "Ecological Impacts of Land Use Change in the Arid Tarim River Basin of China." Remote Sensing 14, no. 8 (2022): 1894. http://dx.doi.org/10.3390/rs14081894.
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Land use/cover change has become an indispensable part of global eco-environmental change research. The Tarim River Basin is the largest inland river basin in China. It is also one of the most ecologically fragile areas in the country, with greening and desertification processes coexisting. This paper analyzes the evolution of land-use/cover change in the Tarim River Basin over the past 30 years based on remote sensing data. The research also explores the contribution of conversion between different land types to the ecological environment by selecting methods, such as transfer matrix and ecological contribution rate. Results indicate that grassland and barren land are the main land types in the region, accounting for 72.46% and 18.87% of the basin area, respectively. From 1990 to 2019, cropland area increased from 33,585.89 km2 to 52,436.40 km2, an increase of 56.13%, while barren land areas decreased from 781,380.57 km2 to 760,783.29 km2. Most of the land-use conversion was grassland to other land types and other land types to barren land. Since 1990, the conversion of barren land to grassland and cropland in the basin has led to ecological improvement, whereas the conversion of grassland to cropland has caused deterioration, but with a generally improving trend. It is anticipated that, over the next decade, changes in land types will involve increases in grassland and woodland area, decreases in barren land and cropland, and an overall improvement in the ecological environment in the watershed. Since agriculture and animal husbandry are the main industries in the Tarim River Basin and the land-use structure is dominated by cropland and grassland, several key measures should be implemented. These include improving land use, rationalizing the use of water and soil resources, slowing down the expansion of cropland, and alleviating the contradiction between humans and land, with the ultimate aim of achieving sustainable development of the social economy and ecological environment.
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Bella Pranatiwi, Nunsi, and Bakti Setiawan. "Analysis on Environmental and Economic Benefit of Activities in Coal Mined Area: A Case Study of Tanjung Enim Mining Site, South Sumatera." ARRUS Journal of Social Sciences and Humanities 3, no. 6 (2023): 788–802. http://dx.doi.org/10.35877/soshum2344.
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Tanjung Enim Mining Site, the third oldest coal mining site in Indonesia, has conducted several reclamation activities. However, the leading way to manage the barren areas for both the environmental and economic perspectives is undefined. This research aims to determine the best reclamation activity in the mined-area by having environment and economic comparison through Life Cycle Assessment and cost-benefit analysis. The data is collected through company and government documents, also mining employee’s interviews. The assessed scenarios include revegetation; agriculture (oil-palm plantation), and solar panel field. Based on this study, it results in agriculture (oil-palm plantation) as the most feasible and suitable option to be performed in the coal-mined area for both environment and economic aspects though the revegetation gives the modest environment.
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Karki, Jyoti, Umesh Kumar Mandal, Chabi Lal Chidi, Jitan Dahal, Narendra Raj Khanal, and Ram Hari Pantha. "An Analysis of Hydraulic Properties of Soil Based on Soil Texture in Chiti Areas of Lamjung District In Nepal." Geographical Journal of Nepal 11 (April 3, 2018): 63–76. http://dx.doi.org/10.3126/gjn.v11i0.19549.
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Soil hydraulic properties play crucial role for having sustainable growth of vegetation and also required for carrying out environmental studies especially subsurface ground water. Since, its direct measurement is time consuming and therefore costly, indirect methods such as pedotransfer functions have been used to estimate hydraulic properties. Soil hydraulic properties: bulk density, available water, permanent wilting point, field capacity and water retention capacity and saturated hydraulic conductivity are essential to be studied. These factors affect soil productivity and the environment. The knowledge of soil water properties for different land-use and land cover types based on soil textural classes are important for re-growth of plants and agriculture crops and ultimately efficient soil and water management. The aim of this paper is to measure soil hydraulic properties based on soil textural classes for different land use types. Furthermore, the use of the soil texture triangle: hydraulic properties calculator has been assessed. The comparison of the soil hydraulic properties obtained from textural triangle for different land use land and cover types has also been analyzed. Moreover, an analysis of variance (ANOVA) of soil hydraulic properties among different land use types has been performed. The soil reaction (pH) value ranges from 4.69 to 6.69 and as a mean of 5.51 indicating slight acidic. The analysis showed barren land occupying 14.3 percent of total land use/land cover is found to be suitable for plant growth since it has loam texture having bulk density less than 1.6 g/cm3.The analysis of bulk density showed that barren land is significantly different at the 0.05 level from both agriculture and forest, whereas agriculture and forests are not different even at 0.05 significant levels. It verifies the fact that mean bulk density at the depth of 0.15 cm is affected by land use land cover types.The Geographical Journal of NepalVol. 11: 63-76, 2018
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Panhwar, Sher Khan. "Repercussion of meagre flow of the lower Indus River." Polaris - Journal of Maritime Research 5, no. 1 (2023): 1–8. http://dx.doi.org/10.53963/pjmr.2023.001.5.
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This study was intended to gauge seawater penetration in the lower Indus region and an overview on economic, social and ecological snags including (i) agriculture which is occupation of over 60% population residing in the Badin, Sujawal and Thatta districts of Sindh (ii) The escalating freshwater scarcity is leading to either displacement of populations or forcing them to live below poverty line due to the diminishing cultivable land (iii) People switched from agriculture profession to fisheries (iv) The lack of access to quality drinking water and the presence of unsuitable underground water pose significant health hazards (v) No-water in lower Indus region has damaged river and estuarine ecosystem that provide geo-ecological services (vi) Since long meagre dischargement of sediment reached toward delta permitted seawater to penetrate thousand acers of cultivable land into saline soil. The most affected dehs of Thatta district include three Talukas Mirpur Sakhro (14 Dehs), Ghorbari (7 Dehs) and Keti Bunder (31 Dehs). Three dehs Milko, Pirpathai and Pumbri of Mirpur Sakhro are completely under sea water and out of agriculture. Sea water inundation has badly affected Ghorabari Taluka over thirty-two-thousand-acre land of seven Dehs are now briny. Thirty-one Dehs of Taluka Keti Bunder are completely barren. Badin district is divided in two talukas (Badin and Shaheed Fazil Rahu) and ten Dehs namley, Babralo, Dharan, Warayo, Sando, Patiji, Thath, Siantri, Khudi, Palh, Ahmed Rajo, out of which three dehs Babralo, Siantri and Ahmed Rajoare completely barren in a limited period of (2008-2018). Overall outcomes of this study reveal that southernmost region of Sindh encounter rampant seawater penetration. Hence, the construction of solid infrastructure such as coastal highways, dense forestation, reinforcement of coastal banks in affected areas, and ensuring continuous freshwater flow towards lower region imperative.
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Baig, Mohammed Feras, Muhammad Raza Ul Mustafa, Imran Baig, Husna Binti Takaijudin, and Muhammad Talha Zeshan. "Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia." Water 14, no. 3 (2022): 402. http://dx.doi.org/10.3390/w14030402.
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Land use land cover (LULC) has altered dramatically because of anthropogenic activities, particularly in places where climate change and population growth are severe. The geographic information system (GIS) and remote sensing are widely used techniques for monitoring LULC changes. This study aimed to assess the LULC changes and predict future trends in Selangor, Malaysia. The satellite images from 1991–2021 were classified to develop LULC maps using support vector machine (SVM) classification in ArcGIS. The image classification was based on six different LULC classes, i.e., (i) water, (ii) developed, (iii) barren, (iv) forest, (v) agriculture, and (vi) wetlands. The resulting LULC maps illustrated the area changes from 1991 to 2021 in different classes, where developed, barren, and water lands increased by 15.54%, 1.95%, and 0.53%, respectively. However, agricultural, forest, and wetlands decreased by 3.07%, 14.01%, and 0.94%, respectively. The cellular automata-artificial neural network (CA-ANN) technique was used to predict the LULC changes from 2031–2051. The percentage of correctness for the simulation was 82.43%, and overall kappa value was 0.72. The prediction maps from 2031–2051 illustrated decreasing trends in (i) agricultural by 3.73%, (ii) forest by 1.09%, (iii) barren by 0.21%, (iv) wetlands by 0.06%, and (v) water by 0.04% and increasing trends in (vi) developed by 5.12%. The outcomes of this study provide crucial knowledge that may help in developing future sustainable planning and management, as well as assist authorities in making informed decisions to improve environmental and ecological conditions.
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Bist, Suraj Prasad, Rabindra Adhikari, Raju Raj Regmi, and Rajan Subedi. "Land use/land cover change assessment of Mohana watershed (Far-Western Nepal) using GIS and remote sensing." Archives of Agriculture and Environmental Science 6, no. 3 (2021): 320–28. http://dx.doi.org/10.26832/24566632.2021.060309.
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The present study was conducted in the Mohana watershed of Far-western Nepal to assess land use land cover change. The study has used ArcGIS and three Landsat images - Landsat TM (1999), Landsat ETM+ (2009), and Landsat OLI (2019) – to analyze land use the land cover change of the watershed. The change matrix technique was used for change detection analysis. The study area was classified into five classes; forest, agriculture, built-up, water bodies, and barren lands. The study has found that among the five identified classes forest and build-up increased positively from 45.40 % to 51.51 % - forest cover and 11.26 % to 19. 85 % - build-up respectively. Similarly, agricultural land and water bodies initially increased but after 2009 both land cover areas decreased to 23.79 % and 0.73 % from 31.38 % and 0.97 % in 2009 respectively. Barren land decreased from 15.37% to 4.12% over the last 20 years. This study might support land-use planners and policymakers to adopt the best suitable land use management option for the Mohana watershed.
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Ian Horrell. "Effects of environmental enrichment on growing pigs." Proceedings of the British Society of Animal Production (1972) 1992 (March 1992): 134. http://dx.doi.org/10.1017/s0308229600022455.
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Increasing public concern has developed, in recent years, over the welfare of animals in agriculture. One aspect of this is the impact of the barren environments typical of commercial pig production systems, with bare concrete walls and floors, simple rectilinear layout and no objects to manipulate other than troughs and water nipples. The sensory impoverishment inherent in this severely limits the range of experience and behaviours open to pigs and may prevent the display of certain basic ‘behavioural needs’. Possible consequences include boredom, frustration, stress and diversion of energy to destructive activities like aggression.
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Faizan, O. Mohammed. "Land use land cover changes using GIS and remote sensing for Lahul and Spiti district of Himachal Pradesh, India." Geo Eye 7, no. 1 (2018): 38–42. http://dx.doi.org/10.53989/bu.ge.v7i1.8.
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A major factor in sustainable development and humanitarian response to global change in land use and land cover change. In global environmental change, land use and land cover play an important role and contributes significantly to earth-atmosphere interactions and the loss of biodiversity. The distribution of land cover in the region is closely linked to climatic conditions. For a wide variety of applications, such as landslide and erosion management, land planning, Disaster management, etc., mapping of land use and land cover change is important. In this study, land use and land cover mapping carried out using GIS and remote sensing in Lahul – Spiti District of Himachal Pradesh. Landsat 7 and 8 data of the years 2005, 2010, 2015 and 2019 have been used for land use and land cover mapping. The maps for LULC produced using supervised classification techniques using the maximum likelihood classification (MLC) algorithm. Supervised classification methods have been used for delineating five major classes: snow/glacier, barren/rocky surface, forest, agriculture/grass, and water. LULC maps have been prepared using ArcGIS 10.8. Forest cover reduced from 4.34% in 2005 to 1.58% in 2019. Same way Snow/Glacier has increased from 27.31 percent to nearly 39.15 percent in the year 2019. Agriculture practice has decreased from 13.06 % to 6.92% in the year 2019. The slope area that represents the barren land in the study area is reduced from 55.22% to 52.29% in 2019. The area under water also reduced by 0.06% in 2005 to 0.04% in 2019. Keywords Landuse/Landcover (LULC), GIS, remote sensing, supervised classification, Himachal Pradesh
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KC, Aman, Nimisha Wagle, and Tri Dev Acharya. "Spatiotemporal Analysis of Land Cover and the Effects on Ecosystem Service Values in Rupandehi, Nepal from 2005 to 2020." ISPRS International Journal of Geo-Information 10, no. 10 (2021): 635. http://dx.doi.org/10.3390/ijgi10100635.
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Land cover (LC) is a crucial parameter for studying environmental phenomena. Cutting-edge technology such as remote sensing (RS) and cloud computing have made LC change mapping efficient. In this study, the LC of Rupandehi District of Nepal were mapped using Landsat imagery and Random Forest (RF) classifier from 2005 to 2020 using Google Earth Engine (GEE) platform. GEE eases the way in extracting, analyzing, and performing different operations for the earth’s observed data. Land cover classification, Centre of gravity (CoG), and their trajectories for all LC classes: agriculture, built-up, water, forest, and barren area were extracted with five-year intervals, along with their Ecosystem service values (ESV) to understand the load on the ecosystem. We also discussed the aspects and problems of the spatiotemporal analysis of developing regions. It was observed that the built-up areas had been increasing over the years and more centered in between the two major cities. Other agriculture, water, and forest classes had been subjected to fluctuations with barren land in the decreasing trend. This alteration in the area of the LC classes also resulted in varying ESVs for individual land cover and total values for the years. The accuracy for the RF classifier was under substantial agreement for such fragmented LCs. Using LC, CoG, and ESV, the paper discusses the need for spatiotemporal analysis studies in Nepal to overcome the current limitations and later expansion to other regions. Studies such as these help in implementing proper plans and strategies by district administration offices and local governmental bodies to stop the exploitation of resources.
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Mohan, Deepasri, Farooq Ahmad Lone, Javeed Iqbal Ahmad Bhat, et al. "Geospatial Analysis of Land Use and Land Cover Dynamics Using Landsat Data: A Case Study of Ferozpore Nallah Watershed in Kashmir Valley." International Journal of Environment and Climate Change 14, no. 12 (2024): 536–48. https://doi.org/10.9734/ijecc/2024/v14i124643.
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Findings of LULC change detection are important for understanding the influence and impacts of natural and anthropogenic activities on the watershed resource management. The present study utilizes the Remote Sensing (RS) & Geographic Information System (GIS) technology to categorize and identify changes in the Ferozpore nallah watershed in district Baramulla of Kashmir valley in India from 2001 to 2021. Supervised classification with maximum likelihood approach was employed to classify and generate the LULC maps. High-resolution Google Earth Pro historical images were used to evaluate the accuracy of the classified maps and were validated using overall accuracy and Kappa statistics. Nine LULC classes (agriculture, horticulture, forest, built-up, barren land, marshes, waterbodies, pastures and scrubs) were mapped from the Landsat imagery obtained for the period 2001 and 2021. The findings of change detection analysis shows that the area under agriculture, forest and marshes decreased by 18.77%, 1.79% and 5.48%, respectively from 2001 to 2021. Whereas, area under horticulture, built-up, barren land, waterbodies, pastures and scrubs increased by 19%, 4.22%, 1.24%, 0.60%, 0.31% and 0.67%, respectively at the same time. The overall accuracy of the classified maps was 88.89% for 2001 and 94.44% for 2021 while the kappa co-efficient was 0.87 and 0.94 for 2001 and 2021, respectively. The results of this study provide data to the planners and policy makers in understanding the Land Use and Land cover scenario and insights towards formulating policies for an effective and eco-friendly natural resource management and sustainable land use in the watershed region.
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Tiwari, Jagriti, S. K. Sharma, and R. J. Patil. "An Integrated Approach of Remote Sensing and Gis for Land Use and Land Cover Change Detection: A Case Study of Banjar River Watershed Of Madhya Pradesh, India." Current World Environment 12, no. 1 (2017): 157–64. http://dx.doi.org/10.12944/cwe.12.1.18.
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Land use and land cover of a region is one of the prime concerns in current strategies for the evaluationof the watersheds and development of decision making policies. An uncertain increase in the population of the country along with the increasing demands has imposed an immense pressure on the land threatening the sustainability of the natural resources especially in the developing countries like India. The study was carried out to detect the land use and land cover changes observed in the Banjar River watershed lies in between Balaghat and Mandla districts of Madhya Pradesh, India using the multi spectral satellite dataset for two different years i.e. 2009 & 2013. The supervised classification was done in ERDAS IMAGINE software. The images of the study area was classified into seven classes namely, river, water body, waste land, habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The result indicates that during the last five years, forest, water body, waste land and open land/fallow land/barren has been increased by 2.26%, 0.55%, 0.23% and 0.48% respectively and the river, habitation and agriculture/other vegetation has been decreased by 0.26%, 0.04%, and 3.22% respectively. Accuracy assessment was also performed in this study to determine the quality of land use/cover map and overall accuracy was found 89.70% for 2009 and 91.91% for 2013.Present study emphasizes on digital change detection techniques for recognizing temporal changes in land use/land cover of the watershed. Outcomes of this study indicate need of implementing conservation and management practices for the socioeconomic development.
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Vaggela, Asha, Harikrishna Sanapala, and Jagannadha Rao Mokka. "Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India." Geoplanning: Journal of Geomatics and Planning 9, no. 1 (2022): 47–60. http://dx.doi.org/10.14710/geoplanning.9.1.47-60.
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Natural landscapes have altered dramatically via anthropogenic activity, particularly in places that are heavily influenced by climate change and population increase, such as nation like India. It is crucial for sustainable development, particularly effective water management methods, to know about the influence of land use and land cover (LULC) changes. Geographic information systems (GIS) and remote sensing (RS) were employed for monitoring land use changes utilising quantum ArcGIS and ERDAS Imagine were done for prediction of LULC changes. This research studied the variations in LULC in the Mahanadi river basin delta, Orissa for the years 2010, 2015, and 2020. Landsat satellite pictures were employed to track the land use changes. For the categorization of Landsat images, maximum- likelihood supervised classification was applied. The broad categorization identifies four basic groups in the research region, including (i) waterbodies, (ii) agriculture fields (iii) forests (iv) barren lands (v) built-up areas, and (vi) aquaculture. The findings indicated a big growth in forests from the year 2010 to 2020, but a substantial increase in barren lands had happened by the year 2020, while built-up lands use has witnessed a quick climb. The kappa coefficient was used to measure the validity of identified photos, with an overall kappa coefficient of 0.82, 0.84, and 0.90 for the years 2010, 2015, and 2020, respectively. However, a large drop will occur in agriculture fields in the predicted years. The study effectively demonstrates LULC alterations showing substantial pattern of land use change in the Mahanadi delta. This information might be valuable for land use management and future planning in the region
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Ignatiev, P. M. "TAIWAN AS AN ECONOMIC MIRACLE." Actual Problems of International Relations, no. 149 (2021): 4–14. http://dx.doi.org/10.17721/apmv.2021.149.1.4-14.
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Taiwan is actually ‘overshadowed’ by China and, therefore, has to uphold a sizable defence budget. On the other hand, this small island attracted considerable investments during the Japanese colonial rule in 1895-1945 and after 1949 when the Kuomintang was finally defeated in the civil war and many representatives of the business circles en masse fled from the mainland. The article considers the reasons for the Taiwanese economic miracle that did happen in this barren mountanius territory despite its limited local agriculture developing in a few productive areas and the deficiency of natural resources being suitable for commercial exploitation.
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Safari, Ziauddin, Sayed Tamim Rahimi, Kamal Ahmed, et al. "Estimation of Spatial and Seasonal Variability of Soil Erosion in a Cold Arid River Basin in Hindu Kush Mountainous Region Using Remote Sensing." Sustainability 13, no. 3 (2021): 1549. http://dx.doi.org/10.3390/su13031549.
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An approach is proposed in the present study to estimate the soil erosion in data-scarce Kokcha subbasin in Afghanistan. The Revised Universal Soil Loss Equation (RUSLE) model is used to estimate soil erosion. The satellite-based data are used to obtain the RUSLE factors. The results show that the slight (71.34%) and moderate (25.46%) erosion are dominated in the basin. In contrast, the high erosion (0.01%) is insignificant in the study area. The highest amount of erosion is observed in Rangeland (52.2%) followed by rainfed agriculture (15.1%) and barren land (9.8%) while a little or no erosion is found in areas with fruit trees, forest and shrubs, and irrigated agriculture land. The highest soil erosion was observed in summer (June–August) due to snow melting from high mountains. The spatial distribution of soil erosion revealed higher risk in foothills and degraded lands. It is expected that the methodology presented in this study for estimation of spatial and seasonal variability soil erosion in a remote mountainous river basin can be replicated in other similar regions for management of soil, agriculture, and water resources.
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Mungai, Leah M., Joseph P. Messina, Leo C. Zulu, Jiaguo Qi, and Sieglinde Snapp. "Modeling Spatiotemporal Patterns of Land Use/Land Cover Change in Central Malawi Using a Neural Network Model." Remote Sensing 14, no. 14 (2022): 3477. http://dx.doi.org/10.3390/rs14143477.
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We examine Land Use Land Cover Change (LULCC) in the Dedza and Ntcheu districts of Central Malawi and model anthropogenic and environmental drivers. We present an integrative approach to understanding heterogenous landscape interactions and short- to long-term shocks and how they inform future land management and policy in Malawi. Landsat 30-m satellite imagery for 2001, 2009, and 2019 was used to identify and quantify LULCC outcomes based on eight input classes: agriculture, built-up areas, barren, water, wetlands, forest-mixed vegetation, shrub-woodland, and other. A Multilayer Perceptron (MLP) neural network was developed to examine land-cover transitions based on the drivers; elevation, slope, soil texture, population density and distance from roads and rivers. Agriculture is projected to dominate the landscape by 2050. Dedza has a higher probability of future land conversion to agriculture (0.45 to 0.70) than Ntcheu (0.30 to 0.45). These findings suggest that future land management initiatives should focus on spatiotemporal patterns in land cover and develop multidimensional policies that promote land conservation in the local context.
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Ullah, Ubaid, Muhammad Nouman Akbar, Zahid Ali, Shahid Iqbal, Zahid Khan, and Muhammad Tufail. "A Comparative Study of Land Use Land Cover (LULC) Change Detection: A Case Study of Tehsil Babuzai, Swat (Pakistan)." Journal of Asian Development Studies 13, no. 2 (2024): 1013–22. http://dx.doi.org/10.62345/jads.2024.13.2.80.
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Tehsil Babuzai, District Swat, Khyber Pakhtunkhwa, Pakistan, has experienced a fast population increase, substantially influencing land use and land cover (LULC), raising ecological and environmental issues. This study examines changes in LULC between 2001 and 2020 using US Geological Survey (USGS) satellite images. The paper analyses six primary land cover classes: farmland, built-up area, woodland, water bodies, rangeland, and barren Land using maximum likelihood supervised classification. The findings show a significant rise in rangeland (from 49.1% to 53.7%), built-up areas (from 8.5% to 13.7%), and barren Land (from 5.1% to 11.1%). On the other hand, there is a noticeable decline in the number of water bodies (from 2.1% to 1.6%), agriculture (from 21.2% to 12.2%), and forest cover (from 13.7% to 7.5%). These alterations underscore the detrimental consequences of urban growth on the area's natural resources, demanding prompt and deliberate planning to protect the ecosystem and guarantee sustainable development. This research is crucial for understanding land use changes' dynamics and impacts, providing valuable insights for policymakers and urban planners. It highlights the need for sustainable land management practices to mitigate adverse environmental effects and promote balanced regional development.
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Gupta, Prof Dr Sanjeev Kumar, Anoop Kumar, Shivwant Kumar, Aman Singh, and Sandeep Singh. "Detection of Land Use and Land Cover Change in Jammu District using Remote Sensing and GIS Techniques." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (2023): 1936–47. http://dx.doi.org/10.22214/ijraset.2023.55129.
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Abstract: Jammu District has under gone a massive change in its land use and land cover in last 30 years. It has grown 2.5 times in its population in past 3 decades and simultaneously the infrastructure supporting the population growth has increased altering the overall land cover. With the growing population the demand for arable land, infrastructure development, land resource management becomes an obligation for effective optimization of resources and policy formulation and implementation. In this research the land use land cover change detection and analysis in last 30 years from 1993 to 2023 is attempted for the first time. The classification is achieved by supervised image classification of Landsat 5 and Landsat 9 Level 1 imagery acquired from USGS. The classification scheme is developed for five classes viz. Water Bodies, Built-Up Area, Agriculture, Barren Land and Forests. Change detected is -3% for water bodies, +5% for built-up area, +29 % for agricultural land, -22% for barren land, -9% for forest cover. The percentages are calculated of the total area. The overall accuracy is maintained at 87% for year 1993 and 78% for year 2023.
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Sadiq Khan, Muhammad, Sami Ullah, Tao Sun, Arif UR Rehman, and Liding Chen. "Land-Use/Land-Cover Changes and Its Contribution to Urban Heat Island: A Case Study of Islamabad, Pakistan." Sustainability 12, no. 9 (2020): 3861. http://dx.doi.org/10.3390/su12093861.
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One of the essential anthropogenic influences on urban climate is land-use/land-cover (LULC) change due to urbanization, which has a direct impact on land surface temperature (LST). However, LULC changes affect LST, and further, urban heat island (UHI) still needs to be investigated. In this study, we estimated changes in LULC from 1993 to 2018, its warming (positive) and cooling (negative) effect, and their contribution to relative LST (RLST) in the city of Islamabad using satellite remote-sensing data. The LULC was classified using a random forest (RF) classifier, and LST was retrieved by a standardized radiative transfer equation (RTE). Our results reveal that the impervious surfaces has increased by 11.9% on the cost of declining barren land, forest land, grass/agriculture land, and water bodies in the last 26 years. LULC conversion contributed warming effects such as forest land, water bodies, and grass/agriculture land transformed into impervious surfaces, inducing a warming contribution of 1.52 °C. In contrast, the replacement of barren land and impervious surfaces by forest land and water bodies may have a cooling contribution of −0.85 °C to RLST. Furthermore, based on the standardized scale (10%) of LULC changes, the conversion of forest land into impervious surfaces contributed 1% compared to back conversion by −0.2%. The positive contribution to UHI due to the transformation of a natural surface to the human-made surface was found higher than the negative (cooler) contribution due to continued anthropogenic activities. The information will be useful for urban managers and decision makers in land-use planning to control the soaring surface temperature for a comfortable living environment and sustainable cities.
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Dr., G. Sheela Edward. "Agricultural welfare Schemes of the Indian Government to promote the Farmers -An Overview." 'Journal of Research & Development' 14, no. 22 (2022): 10–15. https://doi.org/10.5281/zenodo.7523829.
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India is an agrarian country where half of its inhabitants still rely on agriculture as the main source of income. Thus, government schemes play a foremost responsibility in the wellbeing of farmers and their farming. Central governments have been initiating diverse schemes from time to time for the upliftment of agricultural fields and farmers connected to them. Farmers face different sorts of challenges as well as floods, barren, natural calamities, insects attack, weather changes, scarcity of money, and whatnot. Hence, it is extremely significant for them to know and be conscious of all the government schemes that the government has initiated for their welfare and betterment.
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Negi, Vivek, and Mohammad Irfan. "Land Use/Cover Mapping and Change Detection Using Remote Sensing Techniques: A Case of Upper Kullu Valley, Himachal Pradesh." Current World Environment 17, no. 2 (2022): 417–26. http://dx.doi.org/10.12944/cwe.17.2.13.
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The land use/cover change has remained an important indicator in explaining the regional and global environmental issues and their determinants. The present study is an attempt to analyze the land use/cover change as a way of measuring visual impressions of landscape transformation in the Upper Kullu Valley of Himachal Pradesh. In the recent decades, the area has experienced considerable land use/cover changes due to urbanization, commercial agriculture and tourism activities. These developmental activities have hugely impacted the natural resources, bio-capacity and land availability of the area. The land use/cover has been analyzed with the help of LANDSAT imageries from 1991 to 2020. Supervised classification has been done on selected images by using maximum likelihood classifier (MLC). The study has been done on eight LULC classes namely, agricultural/horticultural land, built-up land, forest cover, pasture/open land, barren land, snow cover, river/water-bodies and sandy surface. The result shows decrease in snow cover and forest cover and increase in barren land, agricultural/horticultural land and built-up area during 1991-2020. The limited land resources and growing urbanisation are making these changes more complex. Therefore, continuous monitoring of these processes and subsequent changes are necessary for future planning and resource management.
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KUMARI, ARTI, ASHUTOSH UPADHYAYA, S. S. NAGARKAR, NAGIREDDY M. REDDY, RAJKISHORE KUMAR, and ANIL K. SINGH. "Decadal Land Use Land Cover Change Analysis using Remote Sensing and GIS in Nagpur city of Maharashtra, India." JOURNAL OF AGRISEARCH 9, no. 03 (2021): 265–69. http://dx.doi.org/10.21921/jas.v9i03.11013.
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An attempt has been made to analyze the LULC change pattern of Nagpur over the past decade (2010-2020) using remote sensing and GIS. In this study, the LULC map for selected years was prepared by supervised classification using a maximum likelihood algorithm from Landsat data, and accuracy assessment by confusion matrix. The results showed that there were major changes in built-up areas (17.37% expansion) and barren land (19.32% deduction). However, water bodies and forest cover decreased slightly by 0.17% and 0.76%, respectively. Overall, the acreage used for agriculture increased by 2.88% and seems to have been replaced by barren / forest areas. Overall, the LULC change detection algorithms used for classification was very effective with an overall accuracy of 78.88 and 73.30% and a kappa coefficient of 0.74 and 0.67, respectively for 2010 and 2020, considered substantial. Overall, Nagpur's land cover changes constantly due to overcrowding; water and forest bodies are adversely affected by rapid urbanization. The study concludes that previous 10 years of Nagpur LULC trend analysis will help to understand land use change pattern by line departments and take necessary actions to reduce the negative impact of land use and land cover change, as well as proper land use planning and management of the Nagpur city.
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Pandit, Dr Bashir Ahmad. "Estimating Soil Erosion and the Effect of Changing Land Use and Land Cover in the Bringi Catchment’s Devalgam Watershed Using RS and GIS." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 10–24. http://dx.doi.org/10.22214/ijraset.2024.57849.
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Abstract: One of the main factors contributing to soil degradation worldwide is soil erosion. The geographical variability of erosion at the Devalgam watershed was evaluated using the Revised Universal Soil Loss Equation (RUSLE) model in a GIS environment. DEM ASTER (30 m × 30 m). The model was fed with annual rainfall data from 1990, 2000, 2010, and 2020 as well as soil and LULC maps. In the Devalgam watershed, the mean annual soil loss ranged from 0 to 127.32, 140.34, 146.49, and 187.23 t/ha/yr for the years 1990, 2000, 2010, and 2020. The mean annual sol loss was calculated to be 16.6, 18.3,19.1, and 22.08 t/ha/yr. According to a zonal statistical analysis of soil erosion for various types of land cover, open forests and barren areas were more likely to experience erosion with the least susceptible to erosion were vegetation, built-up areas, orchards, and agriculture, with estimates of 85.12 and 52.35 t/ha/yr, respectively. According to the current study, managing natural resources is increasingly dependent on the LULC change in the Devalgam Watershed. GIS and remote sensing technologies have shown to be useful tools for analyzing LU/LC changes on a watershed-by-watershed basis. Six LU/LC classes were used to categorize the study area: built-up, barren terrain, vegetation, farmland, woodland, and orchards. and it was discovered that, out of the total area, or 2058.618 hectares, the least area was covered by orchards (0.5%), while the highest area was covered by forest (30.5%), followed by barren ground (25.7%). The examination of the overlay of analysis of the changes from 1990 to 2020 was conducted using LANDSAT-5 1990 over LANDSAT-8 OLI 2020. The findings also indicate that whereas the area under agricultural, builtup areas, barren land, and orchards expanded by 123%, 36.5%, 0.5%, and 36.4%, respectively, the area under forests and vegetation dropped by 17.3% and 48%. With a kappa coefficient of 0.84, 0.71, 0.75, and 0.87, respectively, the overall accuracy for the categorized imageries LANDSAT-5 (1990), LANDSAT-7 (2000), LANDSAT-7 TM (2010), and LANDSAT-8 OLI (2020) was determined to be 86.6%, 76.6%, 80%, and 90%.respectively
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Hoang Khanh Linh, N., and H. Van Chuong. "Assessing the impact of urbanization on urban climate by remote satellite perspective: a case study in Danang city, Vietnam." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 28, 2015): 207–12. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-207-2015.
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Urban climate, one of the challenges of human being in 21 century, is known as the results of land use/cover transformation. Its characteristics are distinguished by different varieties of climatic conditions in comparison with those of less built-up areas. The alterations lead to “Urban Heat Island”, in which temperature in urban places is higher than surrounding environment. This happens not only in mega cities but also in less urbanized sites. The results determine the change of land use/cover and land surface temperature in Danang city by using multi-temporal Landsat and ASTER data for the period of 1990-2009. Based on the supervised classification method of maximum likelihood algorithm, satellite images in 1990, 2003, 2009 were classified into five classes: water, forest, shrub, agriculture, barren land and built-up area. For accuracy assessment, the error metric tabulations of mapped classes and reference classes were made. The Kappa statistics, derived from error matrices, were over 80% for all of land use maps. An comparison change detection algorithm was made in three intervals, 1990-2003, 2003-2009 and 1990-2009. The results showed that built-up area increased from 8.95% to 17.87% between 1990 and 2009, while agriculture, shrub and barren decreased from 12.98% to 7.53%, 15.72% to 9.89% and 3.88% to 1.77% due to urbanization that resulted from increasing of urban population and economic development, respectively. Land surface temperature (LST) maps were retrieved from thermal infrared bands of Landsat and ASTER data. The result indicated that the temperature in study area increased from 39oC to 41oC for the period of 1990-2009. Our analysis showed that built-up area had the highest LST values, whereas water bodies had the least LST. This study is expected to be useful for decision makers to make an appropriate land use planning which can mitigate the effect to urban climate.
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V. Ramana Rao, K., and Prof P. Rajesh Kumar. "Land cover classification using landsat-8 optical data and supervised classifiers." International Journal of Engineering & Technology 7, no. 2.17 (2018): 101. http://dx.doi.org/10.14419/ijet.v7i2.17.11567.
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Land use and land cover information of an area has got importance in various aspects mainly because of various development activities that are taking place in every part of the world. Various satellite sensors are providing the required data collected by remote sensing techniques in the form of images using which the land use land cover information can be analyzed. Constistency of Landsat satellite is illustrated with two time periods such as Operational Land Imager (OLI) of 2013 and consecutive 2014 procured by earth explorer with quantified changes for the same period in visakhapatnam of hudhud cyclone. Since this city is consisting of mainly urban, vegetation, few water bodies, some area of agriculture and barren,five classes have been chosen from the study area. The results indicate that due to the hudhud event some changes took place. vegetation and built-up land have been increased by An increase of 19.1% (6.3 km2) and 11% (5.36 km2) has been observed in the case of vegetation and built up area where as a decrease of 1.2% (4.06 km2), 6.1% (1.70 km2) and 1.2% (0.72 km2) has been observed in the case of agriculture, barren land, and water body respectively. With the help of available satellite imagery belonging to the same area and of different time periods along with the change detection techniques landscape dynamics have been analyzed. Using various classification algorithms along with the data available from the satellite sensor the land use and land cover classification information of the study area has been obtained. The maximum likelihood algorithm provided better results compared to other classification techniques and the accuracy achieved with this algorithm is 99.930% (overall accuracy) and 0.999 (Kappa coefficient).
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Talebi, Majid, and Mirza Nakhjaei. "The Impact of Islamic Laws on Food Security and Agricultural Development Using Quranic Verses and Hadiths of Imam Ja'far al-Sadiq (PBUH)." Comparative Studies in Jurisprudence, Law, and Politics 6, no. ۱ (2024): 5–12. http://dx.doi.org/10.61838/csjlp.6.1.2.
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This article examines the impact of Islamic laws on food security and agricultural development through the use of Quranic verses and the hadiths of Imam Ja'far al-Sadiq (PBUH). Food security and agricultural development are critical issues in Islamic societies, where Islamic laws and rulings play a significant role in their improvement. In this study, the concept of food security is first reviewed from the perspectives of international organizations and Islam, followed by an explanation of the importance of agriculture in Islamic teachings, with an emphasis on Quranic verses and the hadiths of Imam Ja'far al-Sadiq (PBUH). Additionally, Islamic jurisprudential laws related to agriculture, such as the revival of barren lands and the role of zakat and khums in agricultural development, are discussed. The practical effects of Islamic laws on food security and agriculture are further analyzed by examining successful examples in Islamic countries and reviewing successful policies in this area. Finally, the challenges faced by Islamic societies in the fields of agriculture and food security, as well as practical solutions to improve the current situation, are presented. The findings of this study demonstrate that Islamic laws can play an important role in improving food security and agricultural development, and continued research in this field can contribute to the formulation of more comprehensive and effective policies.
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Gairhe, Samaya, Girish N. Kulkarni, and Vijayachandra S. Reddy. "Land Use Dynamics in Karnataka - Post Economic Liberalization." Research Journal of Agricultural Sciences 2, no. 4 (2011): 921–23. https://doi.org/10.5281/zenodo.1175200.
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The present study land use dynamics in Karnataka is based on the secondary data revealed that the growth rate analysis revealed that miscellaneous tree crops, cultivable wastes and barren and uncultivated land showed declining rate while, land put to non-agricultural uses, fallows other than current fallow, area sown more than once and net irrigated area showed increasing growth rate. Highest instability index was found in case of current fallows followed by area sown more than once, fallows other than current fallow, permanent pastures and least was observed in area under forest. The study has revealed a major shift of land from desirable and undesirable ecological sector and agriculture sector towards the non-agricultural sector.
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Alemayehu, Daniel, Meseret Tadesse, and Mohammed Abdul Athick. "Application of TPI for Analysis of Landforms and LULC of Adama Wereda, Ethiopia." Journal of Geographical Studies 2, no. 2 (2019): 100–109. http://dx.doi.org/10.21523/10.21523/gcj5.18020205.
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Topographic Position Index (TPI) algorithm is useful for landform classification using Digital Elevation Model (DEM) to identify upper, middle and lower parts of the landscape. Topographic slope positions and landform classifications can be automated and measured by employing the Jenness algorithm based on the Set of Rules in the TPI. Adama Wereda in Ethiopia has been selected to study the different landforms classified using DEM (30m resolution) and Landsat 8 OLI data. Spatial statistics and GIS applications were also used to distinguish the geomorphologic properties of DEM. Adama Wereda encompasses 2.15% of the valley, 33.79% of flat lands, 15.85 % of lower slope, 33.07% of average slope, 12.85% of upper slope and 2.24% of ridges. Nine land use and land cover (LULC) classes, specifically rocky terrain, built up area, forests, water bodies, roads, agriculture, barren land, hill/mountain and fallow land have been analyzed. Landforms of Adama Wereda are ranging from large-scale features such as plains and mountain ranges to minor features such as hills and valleys. The built-up area and agriculture are covering most of the landform classes. U shaped valley was observed in water bodies. The various classifications of TPI and landform can be used in precision agriculture, land-use alteration studies, etc.
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Parveen, Nusrat, Abdul Ghaffar, Muhammad Nasar-u. Minallah, and Muhammad Ali. "Analytical Study on Urban Expansion Using the Spatial and Temporal Dynamics of Land Use Change in Faisalabad City, Pakistan." International Journal of Economic and Environmental Geology 10, no. 3 (2019): 102–8. http://dx.doi.org/10.46660/ijeeg.vol10.iss3.2019.318.
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Urban expansion and unparalleled rural to urban conversion, along with an enormous population growth areinfluential forces changing land use in metropolitan areas. The current work determined temporal and spatial alterationin built-up area, agriculture land, barren land and water area by using Landsat imageries of Faisalabad city from 2003to 2017.The supervised classification technique has been performed on all the images to produce the land use changemaps using the maximum likelihood algorithm and accuracy assessment of the classification has been performed. It hasbeen concluded maximum increase of built-up land were from 30% in 2003 to 50% in 2017 whereas the maximumdecrease in agriculture land class has been observed from 36% of 2003 to 10% in 2017. Urban population of Faisalabadcity has increased from 2 million in 1998 to population statistics reached up to 3.2 million in 2017. Faisalabad 3rdlargest city of Pakistan facing lot of issues due to urban expansion, analyzing the reasons and penalties of land usechanges facilitate local government and urban planners for the better management of future plans regarding the urbansettlements and reduce the negative consequences.
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Parveen, Nusrat, Abdul Ghaffar, Muhammad Nasar-u. Minallah, and Muhammad Ali. "Analytical Study on Urban Expansion Using the Spatial and Temporal Dynamics of Land Use Change in Faisalabad City, Pakistan." International Journal of Economic and Environmental Geology 10, no. 3 (2019): 102–8. http://dx.doi.org/10.46660/ojs.v10i3.318.
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Urban expansion and unparalleled rural to urban conversion, along with an enormous population growth areinfluential forces changing land use in metropolitan areas. The current work determined temporal and spatial alterationin built-up area, agriculture land, barren land and water area by using Landsat imageries of Faisalabad city from 2003to 2017.The supervised classification technique has been performed on all the images to produce the land use changemaps using the maximum likelihood algorithm and accuracy assessment of the classification has been performed. It hasbeen concluded maximum increase of built-up land were from 30% in 2003 to 50% in 2017 whereas the maximumdecrease in agriculture land class has been observed from 36% of 2003 to 10% in 2017. Urban population of Faisalabadcity has increased from 2 million in 1998 to population statistics reached up to 3.2 million in 2017. Faisalabad 3rdlargest city of Pakistan facing lot of issues due to urban expansion, analyzing the reasons and penalties of land usechanges facilitate local government and urban planners for the better management of future plans regarding the urbansettlements and reduce the negative consequences.
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Abbas, Tanweer, Muhammad Shoaib, Raffaele Albano, et al. "Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan." Land 14, no. 1 (2025): 154. https://doi.org/10.3390/land14010154.
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Land use and land cover (LULC) changes are significantly impacting the natural environment. Human activities and population growth are negatively impacting the natural environment. This negative impact directly relates to climate change, sustainable agriculture, inflation, and food security at local and global levels. Remote sensing and GIS tools can provide valuable information about change detection. This study examines the correlation between population growth rate and LULC dynamics in three districts of South Punjab, Pakistan—Multan, Bahawalpur, and Dera Ghazi Khan—over a 30-year period from 2003 to 2033. Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). This study achieved over 90% overall accuracy and a kappa value of 0.9 for the classified LULC maps. LULC was classified into built-up, vegetation, water, and barren classes in Multan and Bahawalpur, with an additional “rock” class included for Dera Ghazi Khan due to its unique topography. LULC maps (2003, 2013, and 2023) were prepared and validated using Google Earth Engine. Future predictions for 2033 were generated using the MOLUSCE model in QGIS. The results for Multan indicated substantial urban expansion as built-up areas increased from 8.36% in 2003 to 25.56% in 2033, with vegetation and barren areas displaying decreasing trends from 82.96% to 70% and 7.95% to 3.5%, respectively. Moreover, areas containing water fluctuated and ultimately changed from 0.73% in 2003 to 0.9% in 2033. In Bahawalpur, built-up areas grew from 1.33% in 2003 to 5.80% in 2033, while barren areas decreased from 79.13% to 74.31%. Dera Ghazi Khan expressed significant increases in built-up and vegetation areas from 2003 to 2033 as 2.29% to 12.21% and 22.53% to 44.72%, respectively, alongside reductions in barren and rock areas from 32.82% to 10.83% and 41.23% to 31.2%, respectively. Population projections using a compound growth model for each district emphasize the demographic impact on LULC changes. These results and findings focus on the need for policies to manage unplanned urban sprawl and focus on environmentally sustainable practices. This study provides critical awareness to policy makers and urban planners aiming to balance urban growth with environmental sustainability.
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Kadhim, Marwah Moojid. "Monitoring Land Cover Change Using Remote Sensing and GIS Techniques: a Case Study of Al-Dalmaj Marsh, Iraq." Journal of Engineering 24, no. 9 (2018): 96. http://dx.doi.org/10.31026/j.eng.2018.09.07.
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Al-Dalmaj marsh and the near surrounding area is a very promising area for energy resources, tourism, agricultural and industrial activities. Over the past century, the Al-Dalmaje marsh and near surroundings area endrous from a number of changes. The current study highlights the spatial and temporal changes detection in land cover for Al-Dalmaj marsh and near surroundings area using different analyses methods the supervised maximum likelihood classification method, the Normalized Difference Vegetation Index (NDVI), Geographic Information Systems(GIS), and Remote Sensing (RS). Techniques spectral indices were used in this study to determine the change of wetlands and drylands area and of other land classes, through analyses Landsat images for different three years (1990, 2003, 2016). The results indicated that there was an annual increase in vegetation was from 1990 with 980.68 km2, and 1420.35km2 in 2003 to 2072.98km2 in 2016. Whereas, the annual water coverage was about 185.95km2 in 1990 then dropped to 68.27km2 in 2003, and rose to 180.23 km2 in 2016. The water coverage increasing was on the account of barren lands areas, which were significantly decreased. These collected data can be used to deliver accurate information of the values of vegetation,water, wetlands and drylands sustainability of resources which can be used to make plans to increase tourism and protected areas by using barren lands which cannot be reclaimed for agriculture, and cultivate a new renewable energy can be set up as solar power stations.
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Vatsal, Aarti, Karanjot Kaur Brar, Vivek Vivek, and Mohammad Irfan. "Assessment of LULC changes in Western Himalayan Mountain Landscape: A Case of Sainj River Valley, Himachal Pradesh (India)." Current World Environment 18, no. 2 (2023): 775–85. http://dx.doi.org/10.12944/cwe.18.2.26.
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Landscape is multifaceted and it is the result of human interactions with their surrounding environment. More than half of the population of the world is dependent on the mountains for their ecosystem services which are now exhibiting signs of human pressure in the form of environment degradation. Himalayan Mountains are also fast succumbing to human greed for land and resources, resulting in the changes in their landscape. In this work we evaluate land use/land cover (LULC) changes in the biodiversity hotspot within a particular region located in the Western Himalaya. Sainj River Valley is in Kullu district of Himachal Pradesh. This study area is one of the major tributary of river Beas with an altitudinal range between 900 to 5800 meters, covering an area of 748.33 km2 and supporting a population over 25000 persons. For this study, we use GIS tools and remote sensing imagery of LANDSAT 5 and LANDSAT 8 for the year 1989 and 2020 respectively. Image classification has been done by using supervised classification with Maximum Likelihood Classifier (MLC) where seven different classes are identified. The result reveals significant increase in land use classes such as agriculture (34.19%); settlements (89.42%), barren land (33.54%), and pasture land (19.01%) while noticeable decrease has been observed in snow cover (60%) and forest land (14.18%). A considerable change in barren land to pasture and forest land reflects the biodiversity conservation and management efforts of the park administration.
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Erokhin, Vasilii, Tianming Gao, and Anna Ivolga. "Structural Variations in the Composition of Land Funds at Regional Scales across Russia." Land 9, no. 6 (2020): 201. http://dx.doi.org/10.3390/land9060201.
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In recent decades, Russia has experienced substantial transformations in agricultural land tenure. Post-Soviet reforms have shaped land distribution patterns but the impacts of these on agricultural use of land remain under-investigated. On a regional scale, there is still a knowledge gap in terms of knowing to what extent the variations in the compositions of agricultural land funds may be explained by changes in the acreage of other land categories. Using a case analysis of 82 of Russia’s territories from 2010 to 2018, the authors attempted to study the structural variations by picturing the compositions of regional land funds and mapping agricultural land distributions based on ranking “land activity”. Correlation analysis of centered log-ratio transformed compositional data revealed that in agriculture-oriented regions, the proportion of cropland was depressed by agriculture-to-urban and agriculture-to-industry land loss. In urbanized territories, the compositions of agricultural land funds were predominantly affected by changes in the acreage of industrial, transportation, and communication lands. In underpopulated territories in the north and far east of Russia, the acreages of cropland and perennial planting were strongly correlated with those of disturbed and barren lands. As the first attempt at such analysis in Russia, the conversion of cadastral classification data into land-rating values enabled the identification of region-to-region mismatches between the cadaster-based mapping and ranking-based distribution of agricultural lands.