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Journal articles on the topic 'Land use/land cover change'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Remlalruata. "STUDIES ON LAND USE AND LAND COVER CHANGE IN AIZAWL DISTRICT, MIZORAM." International Journal of Recent Research in Social Sciences and Humanities (IJRRSSH) 10, no. 2 (2023): 107–16. https://doi.org/10.5281/zenodo.8042670.

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<strong>Abstract:</strong> The Assessment of land use and land cover change is important for the development of a policy by the government. Land cover change is still a very interesting and hot topic in todays world even in Mizoram. For supporting decision-making processes, identifying LULCC and comprehending the underlying forces are crucial. We examined and analyze the changing variation of land use and land cover during the period of 2000 to 2020 using Three Landsat Thematic Mapper (TM) 4-5 C1 level-1 satellite imagery for 2000, 2010 and Landsat 8 OLI/TIRS C1 level-1 imagery for 2020. Accur

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Shyamala, R., and E. Hemavathy. "Land Use and Land Cover Change Detection in Sriperumbudur Taluk, Kanchipuram District." International Journal of Scientific Engineering and Research 6, no. 11 (2018): 35–39. https://doi.org/10.70729/ijser18383.

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Deshpande, Srinivas, and Rohan S. Gurav. "Change Detection of Land Use and Land Cover Over Ghataprabha River Basin." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 71–78. http://dx.doi.org/10.21275/sr23930164256.

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Sharma, Namita, Rimlee Bora, and Jyotishma Bordoloi. "Hotspots of Land Use Land Cover Change: World’s Largest Riverine Island Scenario." Indian Journal Of Science And Technology 17, no. 43 (2024): 4536–45. http://dx.doi.org/10.17485/ijst/v17i43.3030.

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Objectives: The study gives priority to the Land Use Land Cover (LULC) changes and changing hotspot locations of Majuli, which is the largest riverine island in Assam. Methods: Satellite imageries for the years 2002, 2011, and 2022 have been utilized to observe spatiotemporal dynamics using the iso cluster unsupervised classification technique. The Iso cluster unsupervised classification method can identify clusters of an image automatically and classify it based on its clusters. The analysis of change has been taken into account by assigning six land use classes, viz. cropland, forest, waterb

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Kumar, R. Shiva, and Afsana Tabassum. "Changes of Land Use Land Cover in Bandipur National Park." Geo-Eye 10, no. 1 (2021): 22–26. https://doi.org/10.53989/bu.ge.v10i1.4.

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This study mainly focusses on changes of land use land cover (LULC) in Bandipur National Park in 2001, 2011and 2019. Methodology have been used for LULC analysis, downloaded satellite imageries of Landsat 8 (OLI) for 2019, Landsat (ETM+) for 2001, and Landsat 4-5 (TM) for 2011. with the help of Geoinformatics tools clipped the area with 5 km buffer in context to our study area and processed it with supervised classification of water, dense forest, open forest, urban, agriculture, current fallow to get LULC map for the study area. In three decades, areawise changes noticed in LULC analysis reve

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BOGALE, GEBREMARIAM. "EVALUATION OF LAND USE LAND COVER CHANGE ON STREAM FLOW: A CASE STUDY OFDEDISSA SUB BASIN, ABAY BASIN, SOUTH WESTERN ETHIOPIA." IJIERT - International Journal of Innovations in Engineering Research and Technology 3, no. 8 (2016): 44–60. https://doi.org/10.5281/zenodo.1462655.

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<strong>Land use land cover change have an impact on hydrology of the watershed on the Dedissa sun basin. The study mainly focused on estimating land use change and stream flow under different land use land cover changes of the sub basin. L and use land cove map s of 1986 and 2010 were developed using satellite image through maximum likelihood algorithm of supervised classification using ERDA S Imagine 2014. A physical - based,semi - distributed hydrological model,SWAT was used to simulate LULC effects on the hydrological response of Didessa sub - basin.During the study period the land use lan

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Wahyuni, Nurlita, Abdul Hasyim, and Soemarno Soemarno. "Dynamic of the Land Use and Land Cover Change in Banyuwangi Regency From 1995-2019." Jurnal Wasian 8, no. 2 (2021): 121–32. http://dx.doi.org/10.20886/jwas.v8i2.6707.

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The land use and land cover change phenomenon has become one concern over many regions worldwide, including Indonesia. Land use and land cover change due to human activities triggered alteration terrestrial ecosystems and its services including climate control functions. The study aimed to analyze land use and land cover change in Banyuwangi regency during 1995 – 2019. Four satellite images from acquisition year 1995, 2000, 2014 and 2019 were used to analyze the spatial and temporal changes along with field observations. The classification processes of land use and land cover included determin

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Nganro, Sudirman, Slamet Trisutomo, Roland Barkey, et al. "Prediction of Future Land Use and Land Cover (LULC) in Makassar City." TATALOKA 23, no. 2 (2021): 183–89. http://dx.doi.org/10.14710/tataloka.23.2.183-189.

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Migration from rural area to urban area increases urban population. It increases and needs for settlements, leading to conversion of agricultural lands into settlement areas. Inconsistent land use compared with spatial planning causes change in land use. Spatial land use expansion can be monitored and predicted by modeling. NetLogo application is a software integrated with Agent-Based Modeling (ABM), which can be used to predict change of land use with various complex parameters. The present study used population growth as a parameter to predict change of land use of Makassar in 2050 based on

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Guma, Isdore Paterson, Agnes Semwanga Rwashana, Benedict Oyo, and Daniel Waiswa. "Modeling Land-Use Land-Cover Change Complexity." International Journal of System Dynamics Applications 12, no. 1 (2024): 1–22. http://dx.doi.org/10.4018/ijsda.361574.

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Qualitative models help policymakers understand land-use changes by examining the processes involved and predicting future patterns. This study aims to use dynamic synthesis methodology to establish cause-and-effect relationships. The study, conducted in the Mt. Elgon region encompassing Mbale, Manafwa, Bududa, and Namisindwa districts, utilized questionnaires and interviews to gather data. Findings suggest that short-term solutions to reduce wood fuel consumption include raising awareness, promoting mindset change, and providing subsidies for alternative energy sources. Long-term strategies i

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Erickson, Donna L. "Rural land use and land cover change." Land Use Policy 12, no. 3 (1995): 223–36. http://dx.doi.org/10.1016/0264-8377(95)00005-x.

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11

Agone, Vikram, and Arvind Suryawanshi. "Assessing Land Use and Land Cover Changes in Waghur Basin: A Remote Sensing and Machine Learning Approach for Sustainable Land Management." JOURNAL OF RESEARCH AND DEVELOPMENT 15, no. 19 (2023): 5–15. https://doi.org/10.5281/zenodo.12570062.

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This research focuses on the importance of studying land use and land cover changes in densely populated countries, with a specific focus on the Waghur Basin in India. It emphasizes the significance of remote sensing techniques for detecting and analyzing these changes. The study uses remote sensing data and machine learning algorithms to classify and analyze land use and land cover patterns in the Waghur Basin from 1990 to 2022. The results reveal significant changes in land utilization, including an increase in agricultural land and a decrease in forest and bare land areas. These changes hav

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Gargi, Bindal Ashish Anand Pranav Kumar Azeem, and Mishra &. Praveen Kalura Nitin. "LAND USE LAND COVER CLASSIFICATION USING ARC-GIS AND ERDAS TOOL - A REVIEW." International Journal of Advances in Engineering & Scientific Research, Vol.4, Issue 2, Feb-Apr-2017 (2017): pp 65–70. https://doi.org/10.5281/zenodo.571575.

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In India rapidly growing urban population has become cause of worry among the country ‘s urban and town planners for organized urban planning. The substantially growing urban areas have led to sharp land use land cover changes. With the remote sensing technology Land-Cover/Land-use, concept is taken as a decisive item of necessary tasks in order to execute a series of significant works, such as predicting land-use change, preventing natural calamity, managing and planning of land use, protecting surroundings, etc. Accurate and dependable information over land use and land cover is required to

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Shumila, Petronillah Mutenyi, Mutavi Irene Nzisa, and Denis Mutama Masika. "Effects of Land Use Land Cover Changes on Vegetation Cover Types in Khwisero Sub County, Kakamega County, Kenya." Indiana Journal of Humanities and Social Sciences 5, no. 7 (2024): 11–28. https://doi.org/10.5281/zenodo.12740878.

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Land use land cover changes have to a great extent changed the world's landscapes rebuilding environments and what they provide to humans during the time spent supporting the rising population across the globe. However, the LULCCs affect land quality in terms of loss of vegetation cover types and altering soil quality to great extent. Misango Hills natural forest and other forms of vegetation cover types in Khwisero Sub County have been changed over completely to farming and built up regions. Cross sectional descriptive and longitudinal research designs were used. Purposive sampling was used t

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Dr., Arun S. Oddin, and S. M. Hurakadli Dr. "The Land-Use Patter Of Nippani Town In Belagavi District: Karnataka State." International Journal of Advance and Applied Research 10, no. 1 (2022): 1007 to 1020. https://doi.org/10.5281/zenodo.7312483.

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<em>The impact of urban growth on urban environmental change has attracted attention from scholars in the field of urban studies, particularly in the study of land use and land cover change. This research focuses on the growing town of Nippani in Karnataka for analysis of land use/land cover changes over a period of 35 years. The results show that built-up land has increased, while other categories of land have decreased. The findings provide insight to planners and policy makers for urban land management in the area of </em><em>issues related to urban growth.</em>

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Ismail K, Bello, Sodiya Abiodun K, and Solanke Peter A. "Public Land Acquisition and Land Use Change Problems in Ogun State." International Journal of Management Science and Business Administration 2, no. 8 (2015): 34–41. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.28.1004.

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Human use of land has altered the structure and functioning of ecosystem. The most spatially and economically important human uses of land globally include cultivation in various forms; livestock grazing, settlement and construction, reserves and protected lands and timber extraction. The patterns of land use give us insight into the factors that have caused the land cover to change. A better understanding of the determining factors of land use changes is of crucial importance to the study of global environmental change. This paper theoretically strive to evaluate the contributions of governme

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Ugbelase, Vincent Nwacholundu, Joel Izuchukwu Igbokwe, Josephine Ebele Emengini, Joseph Onyedika Ejikeme, and Esomchukwu Chinagorom Igbokwe. "Classification of land use/land cover of Aniocha north local government area, Delta state using satellite imagery." World Journal of Advanced Research and Reviews 10, no. 3 (2021): 207–16. https://doi.org/10.5281/zenodo.5067313.

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Remote Sensing (RS) and Geographic Information System (GIS) have been established as indispensable tools in the assessment of Land use / Land cover (LULC) change. RS and GIS are important for the monitoring, modelling and mapping of land use and land cover changes across a range of spatial and temporal scales, in order to assess the extent, direction, causes, and effects of the changes. Change detection has provided suitable and wide-ranging information to various decision support systems for natural resource management and sustainable development. The main objective of the study is to assess

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Oliveira, J. C., R. A. C. Lamparelli, G. K. D. A. Figueiredo, et al. "PASTURE LAND COVER CHANGE IN SÃO PAULO STATE, BRAZIL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 321–26. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-321-2020.

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Abstract. Pastures are complex land covers with a variety of land use systems. This land cover occupies large areas in the globe and is mainly used for livestock production. Brazil is one of the largest livestock producers and has extensive pasture areas. We analyzed the pasture land cover change of the São Paulo State between the years 2000 to 2015. São Paulo was chosen as study case due to its large industrial and agricultural importance and its expressive land cover changes over past decades. It was analyzed land covers databases generated by the Brazilian Annual Land Use and Land Cover Map

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18

Kumar, Ranjeet. "Land Use Pattern in Gaya District, Bihar: A Geographical and Environmental Analyse." Journal of Research & Development 17, no. 4 (2025): 111–15. https://doi.org/10.5281/zenodo.15544206.

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<strong><em>Abstract</em></strong>                 <em>Land use and land cover are two important components to understand the global land status; they shows present as well as past status of the earth surface. Land use and land cover are two separate terminologies which are often used interchangeably (Dimyati et al 1994). Land cover is a basic parameter which evaluates the content of earth surface as an important factor that affects the condition and functioning of the ecosystem. Land cover is a biophysical state of the

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Kumar, Ranjeet. "Rathod, V. N. (2025). Freshwater Diatoms of Waghur Dam Jalgaon, Maharashtra. Journal of Research & Development, 17(4), 102–110. https://doi.org/10.5281/zenodo.15544137." Journal of Research & Development 17, no. 4 (2025): 111–15. https://doi.org/10.5281/zenodo.15544188.

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<strong><em>Abstract</em></strong>                 <em>Land use and land cover are two important components to understand the global land status; they shows present as well as past status of the earth surface. Land use and land cover are two separate terminologies which are often used interchangeably (Dimyati et al 1994). Land cover is a basic parameter which evaluates the content of earth surface as an important factor that affects the condition and functioning of the ecosystem. Land cover is a biophysical state of the

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20

Kumar, Dr Anil. "Spatio-Temporal Land use / Land cover Change Assessments;." International Journal for Research in Applied Science and Engineering Technology V, no. X (2017): 1669–72. http://dx.doi.org/10.22214/ijraset.2017.10242.

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21

Meyer, William B., and B. L. Turner. "Land-use/land-cover change: challenges for geographers." GeoJournal 39, no. 3 (1996): 237–40. http://dx.doi.org/10.1007/bf00188373.

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22

Tol, Richard S. J. "Dynamic World: Land-Cover and Land-Use Change." Environmental Science & Policy 7, no. 1 (2004): 77. http://dx.doi.org/10.1016/j.envsci.2003.10.001.

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23

Sushmitha, S., and B. Chandrashekara. "A Geospatial Assessment of Land Use Land Cover Changes in Mysuru Taluk." Geo-Eye 12, no. 1 (2023): 41–45. https://doi.org/10.53989/bu.ge.v12i1.6.

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The research places its emphasis on comprehending the intricacies and fluctuations in the utilization and coverage of land in Mysuru Taluk, a locale nestled in the southern reaches of India. The study uses Sentinel-2 multitemporal satellite data from the Esri to examine land dynamics in Mysuru Taluk between 2017 and 2022, employing ArcMap software for mapping and statistical techniques for quantifying variations in land cover categories such as built-up areas, agricultural land, and water bodies. The investigation endeavors to pinpoint the catalysts that have influenced the transformation of l

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Šetka, Josip, Petra Radeljak Kaufmann, and Luka Valožić. "Modelling land use and land cover changes in the Lower Neretva Region." Hrvatski geografski glasnik/Croatian Geographical Bulletin 85, no. 1 (2023): 41–63. http://dx.doi.org/10.21861/hgg.2023.85.01.02.

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It has been shown that simulation models are reliable tools for predicting land changes, which contributes to better understanding and management of human impact on the environment. Land use and land cover changes in the Lower Neretva Region between 1990 and 2035 have been analysed and modelled in this study. The final simulation model of future changes was created based on cellular automata and artificial neural networks, implemented in the MOLUSCE plugin for QGIS. In addition, a test simulation model for 2020 was created, which showed high accuracy. Input variables for the final simulation m

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Brazel, A. J. "Land Use and Cover Change." Landscape and Urban Planning 58, no. 1 (2002): 71. http://dx.doi.org/10.1016/s0169-2046(01)00232-8.

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Mutenyi, Shumila Petronillah, Dr Mutavi Irene Nzisa, and Dr Masika Denis Mutama. "The Driving Forces that Influence Land Use Land Cover Changes in Khwisero Sub County, Kakamega County, Kenya." American Journal of Social Science and Education Innovations 6, no. 7 (2024): 38–73. http://dx.doi.org/10.37547/tajssei/volume06issue07-05.

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Land use land cover changes have to a great extent changed the world's landscapes, rebuilding environments and what they provide to humans during the time spent supporting the rising population across the globe. The drivers of these changes vary from location to location causing varying effects that challenge the essential design and the functioning capacity of the land quality with flowing consequences to land quality. A cross sectional descriptive design together with a longitudinal design were used. A random sampling was used to obtain a sample size of 384 from a study population of 113,476

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Jin, Min, Ruyi Feng, Lizhe Wang, and Jining Yan. "A Study of Diffusion Equation-Based Land-Use/Land-Cover Change Simulation." ISPRS International Journal of Geo-Information 10, no. 6 (2021): 383. http://dx.doi.org/10.3390/ijgi10060383.

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Simulating and predicting the development and changes in urban land change can provide valuable references for the sustainable development of cities. However, the change process of urban land-use/land-cover is a complex process involving multiple factors and multiple relationships. This dilemma makes it very challenging to accurately simulate the results and to make predictions. In response to this problem, we started with the physical characteristics of the land-use/land-cover change process and constructed a diffusion equation to simulate and predict urban land-use/land-cover changes. The di

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Aarti, Karandikar, and Agrawal Avinash. "Performance analysis of change detection techniques for land use land cover." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 4 (2023): 4339–46. https://doi.org/10.11591/ijece.v13i4.pp4339-4346.

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Remotely sensed satellite images have become essential to observe the spatial and temporal changes occurring due to either natural phenomenon or man-induced changes on the earth’s surface. Real time monitoring of this data provides useful information related to changes in extent of urbanization, environmental changes, water bodies, and forest. Through the use of remote sensing technology and geographic information system tools, it has become easier to monitor changes from past to present. In the present scenario, choosing a suitable change detection method plays a pivotal role in any rem

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Nirea, Abadi Gidey, and Kassa Teka. "Analysis of Land Use and Land Cover Dynamics in the Highlands of Northern Ethiopia." Asian Journal of Research in Agriculture and Forestry 10, no. 4 (2024): 262–72. http://dx.doi.org/10.9734/ajraf/2024/v10i4334.

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In the highlands of northern Ethiopia, many land use and land cover changes (LULCC) have occurred during different activities of the populations. Despite its coverage and unwise use of natural resources, these land uses and land covers are facing increasing or decreasing their area coverage. Information derived from land use and land cover change detection is important to land conservation, sustainable development, and management of Natural resources. This purpose of this study is therefore concerned with identifying the change in land use and land cover detection of the Wejic watershed. To id

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Indrawan, I. N. P., Widiatmaka, and B. H. Trisasongko. "Land use land cover change in Badung Regency, Bali." IOP Conference Series: Earth and Environmental Science 950, no. 1 (2022): 012096. http://dx.doi.org/10.1088/1755-1315/950/1/012096.

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Abstract Demand for land use can cause an undesirable impact. Bali Island has been exploited as the midpoint of tourism activities and altering land use over the last two decades. Badung regency is the hinterland area of Denpasar City, the capital city of Bali Province. Land conversion in Badung was caused by the construction infrastructures related to tourism development. Conversion occurred from agricultural lands to built-up lands. This research analyzed remote sensing data, taking the advantage of abundant, serial data acquisition. This study used Landsat 7 ETM and Sentinel 2 satellite ima

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Maciel, Adeline, Gilberto Camara, Lubia Vinhas, Michelle Picoli, Rodrigo Begotti, and Luiz Assis. "A spatiotemporal calculus for reasoning about land-use trajectories." International Journal of Geographical Information Science 33, no. 1 (2020): 176–92. https://doi.org/10.1080/13658816.2018.1520235.

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Earth observation images are a powerful source of data about changes in our planet. Given the magnitude of global environmental changes taking place, it is important that Earth Science researchers have access to spatiotemporal reasoning tools. One area of particular interest is land-use change. Using data obtained from images, researchers would like to express abstractions such as ‘land abandonment’, ‘forest regrowth’, and ‘agricultural intensification’. These abstractions are specific types of land-use trajectories, defined as multi-year paths from one land

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K, Ramesh, Asha R, and Jamuna E. "Assessment of land use/land cover change detection of Mettupalayam Taluk, Coimbatore district, Tamil Nadu, India, using RS and GIS." GSC Biological and Pharmaceutical Sciences 22, no. 1 (2023): 241–46. https://doi.org/10.5281/zenodo.7661343.

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Understanding changes in land use land cover is essential managing and monitoring natural resources and development, particularly where urbanization is expanding. In present study, describes land use/land cover (LU/LC) mapping and change detection analysis of Mettupalayam taluk of Coimbatore district in Tamil Nadu. Estimation in ArcGIS for LU/LC classification from LANSAT images, is the best method for classifier for the different features were used to classify the satellite images are used to classify the land use/land cover change s for the given period. The results indicated that land cover

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Kesaulija, F. F., M. I. Aipasa, Sumaryono, and A. Suhardiman. "Land use and land cover change in Manokwari, West Papua Province." IOP Conference Series: Earth and Environmental Science 1192, no. 1 (2023): 012045. http://dx.doi.org/10.1088/1755-1315/1192/1/012045.

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Abstract The purpose of this study was to determine the extent of forest land change due to deforestation and forest degradation in Manokwari Regency as a development activity through land cover dynamics using satellite imagery data and make a land change prediction based on land change data analysis. This study used a descriptive method with an analysis of land cover changes using an overlay technique to determine land cover change. The results showed the change in land cover that occurred during the period 2009-2017 is dominated by changing of forested land to become settlement and plantatio

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Pranav, Sharma Gaurang Gupta Paritosh Prabhakar Sheetal Tiwari Pankaj Kathait Yash Pathak, Mishra Nitin, and Kumar Sanjeev. "LAND USE LAND COVER CHANGE IMPACT ON WATER RESOURCES - A REVIEW." International Journal of Advances in Engineering & Scientific Research, Vol.4,, Issue 2, Feb-Apr-2017 (2017): pp 07–14. https://doi.org/10.5281/zenodo.569714.

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The land use change has generally occurred locally, regionally and worldwide over the last few decades and will carry on in the future as well. The increment in urbanization has a major impact on groundwater and it is major concern over the few years to those who are involved in groundwater studies. The enlargement of the urbanization area results in decrease in infiltration, which affect the groundwater recharge and storage. The land use change has to be evaluated properly using conventional as well as latest techniques of Remote Sensing and Geographical Information System (GIS). The overpopu

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Kabamba, Muna, Shafiqullah Sultani, Omar Ali Hussaini, Emmanuel Juah Dunbar, and Kongan Aryan. "Assessing Land Use and Land Cover Change and Its Correlation with Air Pollutants in Kabul City." International Journal of Science and Research (IJSR) 11, no. 5 (2022): 85–90. http://dx.doi.org/10.21275/sr22429153713.

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Sewnet, Amare. "Land Use/Cover Change at Infraz Watershed, Northwestren Ethiopia." Journal of Landscape Ecology 8, no. 1 (2015): 69–83. http://dx.doi.org/10.1515/jlecol-2015-0005.

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Abstract Land cover is the physical and biological cover of the surface whereas land use covers the results of human activities for the exploitation of it. The land cover and landuse change is caused by both, natural and anthropogenic factors. The objective of this study was to detect land cover/use changes in Infraz Watershed. The study has used ArcGIS10 and ERDAS IMAGINE10, landsat images of 1973, 1986, 1995 and 2011 and socio-economic data to analyze land cover and landuse changes of Infraz watershed. The study has found that due to the population increase and improper agricultural activity

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Dero, Kambo, Wakshum Shiferaw, and Biruk Zewde. "Urban induced land use land cover changes in upper Deme watershed, Southwest Ethiopia." Journal of Degraded and Mining Lands Management 9, no. 1 (2021): 3045–53. http://dx.doi.org/10.15243/jdmlm.2021.091.3045.

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The study was aimed to assess urban induced land use land cover changes in the upper Deme watershed. Three satellite images of 1986, 2002, and 2019 were analyzed by ArcGIS and processed by supervised classification. Land use land cover change in the watershed increased for settlement, bare land, and croplands in the period 1986-2019 by 56.6%, 53%, and 0.25%, respectively. However, the land use land cover change in the watershed decreased for a water body, forest, and grassland by 65%, 57.7%, and 7%, respectively. These enforced to change the work habit and social bases. Out of converted lands,

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Pranav, Sharma1, Gupta1 Gaurang, Prabhakar1 Paritosh, et al. "LAND USE LAND COVER CHANGE IMPACT ON WATER RESOURCES - A REVIEW." International Journal of Advances in Engineering & Scientific Research 4, no. 2 (2017): 07–14. https://doi.org/10.5281/zenodo.10774874.

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<strong>Abstract</strong><strong>: </strong>                                The land use change has generally occurred locally, regionally and worldwide over the last few decades and will carry on in the future as well. The increment in urbanization has a major impact on groundwater and it is major concern over the few years to those who are involved in groundwater studies. The enlargement of the urbanization area results in decrease in infiltration,

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Nagarajan, N., and S. Poongothai. "Identification of Land use and Land cover Changes using Remote Sensing and GIS." International Journal of Engineering and Technology 3, no. 5 (2011): 570–76. http://dx.doi.org/10.7763/ijet.2011.v3.287.

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Poyatos, Rafael, Jérôme Latron, and Pilar Llorens. "Land Use and Land Cover Change After Agricultural Abandonment." Mountain Research and Development 23, no. 4 (2003): 362–68. http://dx.doi.org/10.1659/0276-4741(2003)023[0362:lualcc]2.0.co;2.

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Anurag, Ankita Saxena, and Biswajeet Pradhan. "LAND USE/ LAND COVER CHANGE MODELLING: ISSUES AND CHALLENGES." Journal of Rural Development 37, no. 2 (2018): 413. http://dx.doi.org/10.25175/jrd/2018/v37/i2/129708.

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Mahmood, Rezaul, Roger A. Pielke, and Clive A. McAlpine. "Climate-Relevant Land Use and Land Cover Change Policies." Bulletin of the American Meteorological Society 97, no. 2 (2016): 195–202. http://dx.doi.org/10.1175/bams-d-14-00221.1.

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Abstract Both observational and modeling studies clearly demonstrate that land-use and land-cover change (LULCC) play an important biogeophysical and biogeochemical role in the climate system from the landscape to regional and even continental scales. Without comprehensively considering these impacts, an adequate response to the threats posed by human intervention into the climate system will not be adequate. Public policy plays an important role in shaping local- to national-scale land-use practices. An array of national policies has been developed to influence the nature and spatial extent o

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Houghton, R. A., J. I. House, J. Pongratz, et al. "Carbon emissions from land use and land-cover change." Biogeosciences 9, no. 12 (2012): 5125–42. http://dx.doi.org/10.5194/bg-9-5125-2012.

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Abstract. The net flux of carbon from land use and land-cover change (LULCC) accounted for 12.5% of anthropogenic carbon emissions from 1990 to 2010. This net flux is the most uncertain term in the global carbon budget, not only because of uncertainties in rates of deforestation and forestation, but also because of uncertainties in the carbon density of the lands actually undergoing change. Furthermore, there are differences in approaches used to determine the flux that introduce variability into estimates in ways that are difficult to evaluate, and not all analyses consider the same types of

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Rakhmonov, Sherzod, Uktam Umurzakov, Kosimdjon Rakhmonov, Iqbol Bozarov, and Ozodbek Karamatov. "Land Use and Land Cover Change in Khorezm, Uzbekistan." E3S Web of Conferences 227 (2021): 01002. http://dx.doi.org/10.1051/e3sconf/202122701002.

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This article depicts on discussions about land use and land cover change distribution in Khorezm province, Uzbekistan between 1987 and 2019. For the study Landsat 5 TM and Landsat 8 OLI respectively used to detect land use changes in the study area. Khorezm region affected by Aral Sea shrinkage having received salt wind from northeast of the region. Moreover, population increased within study period, making population density intense. Research is carried out to detect reflection of ecology and density in land use. RS techniques maximum likelihood employed to classify land use to generate land

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HUSSAINI, Fatema, Ebrahim FARHADI, Ali HOSSEINI, and Ahmad POURAHMAD. "Investigating Land Use Change in Kabul, Afghanistan." Journal of Settlements and Spatial Planning 13, no. 2 (2022): 61–69. http://dx.doi.org/10.24193/jssp.2022.2.01.

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Land use change and land cover are considered as some of the important and effective factors of global environmental change. Therefore, understanding and predicting the causes, processes, and consequences of land use change has become a major global challenge. Kabul is the most populated city in Afghanistan. The face of Kabul has changed after a relatively peaceful period since 2001. The purpose of this study is to analyze land use change in Kabul from 2001 to 2019. We used the quantitative approach to analyse data provided by satellite images of Kabul in 2001 and 2019 from Landsat 8 and 7. Da

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Alvarez Gebelin, Ana, Martín Borretti, Carlos Cohn, and Guillermo Minutti. "Land Cover and Land Use in Uruguay Using Land Cover Classification System Methodology." Land 13, no. 12 (2024): 2168. https://doi.org/10.3390/land13122168.

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Mapping land cover in Uruguay is essential to meet the growing demand for accurate data to support sustainable development policies and manage natural resources, while also addressing the United Nations Sustainable Development Goals (SDGs) and other international conventions. In recent decades, collaboration between the FAO and the Government of Uruguay has led to the development of key products that strengthen the country’s planning processes, including a detailed, standardized national land cover database. By using the FAO’s Land Cover Classification System (LCCS), Uruguay has achieved a mul

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Chen, Jin, Peng Gong, Chunyang He, Ruiliang Pu, and Peijun Shi. "Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis." Photogrammetric Engineering & Remote Sensing 69, no. 4 (2003): 369–79. http://dx.doi.org/10.14358/pers.69.4.369.

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Nguyen, H. T. T., Q. T. N. Chau, A. T. Pham, et al. "LAND USE/LAND COVER CHANGES USING MULTI-TEMPORAL SATELLITE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-3/W1-2020 (November 17, 2020): 83–90. http://dx.doi.org/10.5194/isprs-annals-vi-3-w1-2020-83-2020.

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Abstract. Producing the map of land use land cover change (LULCC) at the local extent is fundamental for a variety of applications such as vegetation, forest covers, soil degradation, and global warming. Understanding the directions and spread trend of LULCC plays significant role in obtaining useful data for the local authorities in making land-use policies under the context of climate change. Dak Nong is located in the Central Highlands of Vietnam having the largest tropical forest. Over the past decades, the natural forest in the region has significantly declined due to the pressure of popu

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Sarah, Namayengo. "Dynamics of land use and land cover changes and their effect on carbon stocks of Rwenzori Mountains National Park." Journal of Biodiversity and Environmental Sciences (JBES) 25, no. 2 (2024): 111–25. https://doi.org/10.5281/zenodo.15378775.

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This study characterized the extent of land use land cover changes in Rwenzori Mountains National Park (RMNP) and determined the effect of observed land use land cover changes on the park’s carbon stocks. Landsat 5 images were obtained of 1990; Landsat 7 of 2000 and 2010 and Landsat 8 of 2020 for Rwenzori Mountains National Park and analyzed using GIS tools in ArcGIS 10.5 using supervised classification. The Landsat scenes were obtained from path and row (171, 060) and (172, 060). The effect of land use land cover changes on the park’s carbon stocks was determined by estimating the

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Sarah, Namayengo. "Dynamics of land use and land cover changes and their effect on carbon stocks of Rwenzori Mountains National Park." Journal of Biodiversity and Environmental Sciences (JBES) 25, no. 2 (2024): 111–25. https://doi.org/10.5281/zenodo.15379093.

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This study characterized the extent of land use land cover changes in Rwenzori Mountains National Park (RMNP) and determined the effect of observed land use land cover changes on the park’s carbon stocks. Landsat 5 images were obtained of 1990; Landsat 7 of 2000 and 2010 and Landsat 8 of 2020 for Rwenzori Mountains National Park and analyzed using GIS tools in ArcGIS 10.5 using supervised classification. The Landsat scenes were obtained from path and row (171, 060) and (172, 060). The effect of land use land cover changes on the park’s carbon stocks was determined by estimating the

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