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Artykuły w czasopismach na temat „Landuse/Landcover”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

T, Magendran, and J. Kumanan C. "Remote Sensing and GIS Based Study of Land Suitability Evaluation in Coastal Domains of Pudukkottai District, Tamil Nadu, India." International Journal of Geology and Earth Sciences 2, no. 2 (2016): 25–40. https://doi.org/10.5281/zenodo.1533758.

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This paper presents an approach for land suitability evaluation model by geomorphology and landuse/landcover mapping in parts of Pudukkottai district, Tamil Nadu using the state and art of remote sensing and Geographical Information System (GIS) as a powerful tool. Remote sensing images provide useful information and make many researchers to  identify and interpret various geomorphic features/landforms and various landuse/landcover classes. Optical satellite images and SRTM - DEM were used for mapping of various geomorphic and landuse/landcover classes in this study. Various image process

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Alhassan, A., W. A. Agyare, and C. Y. Asante. "Impact of Landuse Changes on Soil Erosion and Sedimentation in the Tono Reservoir Watershed Using GeoWEPP Model." International Journal of Irrigation and Agricultural Development (IJIRAD) 1, no. 1 (2018): 106–19. http://dx.doi.org/10.47762/2017.964x.27.

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Sediment delivery from the Tono Reservoir watershed in the Upper East Region of Ghana is of major concern, necessitating the need to estimate the rate of siltation of the reservoir. This study determined the current volume of silt in the reservoir, mapped landcover changes using Landsat images and employed Water Erosion Prediction Project (WEPP) model, to simulate hydrology and sediment dynamics for three landuse/landcover scenarios. The Geo-spatial interface for WEPP (GeoWEPP) was used to characterize upland overland flow elements based on their landuse/landcover, soil, and slope profiles. Us

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Ampofo, Steve, Mercy Ama Boadi Manu, Boateng Ampadu, and Melvin-Guy Adonadaga. "Impact of Landuse and Landcover Changes on Hydrological Components of the Oti Sub-Basin of Ghana." Ghana Journal of Science, Technology and Development 8, no. 2 (2022): 60–70. http://dx.doi.org/10.47881/375.967x.

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Landuse and landcover have over the decades been undergoing changes as a result of natural and human activities. These changes for a given area can be attributed to fluctuations in the infiltration ability of the land, leading to changes in the hydrological cycle of a given catchment area. This research assessed some of the impacts that landuse and landcover changes coupled with climate variations have on the hydrological components of the Oti sub-basin of Ghana using the Soil Water Assessment Tool (SWAT) with ArcGIS® interface for the development of models from which conclusions were drawn. T

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Onyedikachim Ihuoma Njoku and Joel Izuchukwu Igbokwe. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 175–80. http://dx.doi.org/10.30574/wjarr.2021.12.3.0665.

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The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite

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Onyedikachim, Ihuoma Njoku, and Izuchukwu Igbokwe Joel. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 175–80. https://doi.org/10.5281/zenodo.5804862.

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The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite

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Singh, A. M., A. S. Chauhan, and D. Aggarwal. "Geospatial Techniques for Efficient Conservation and Management of Surface Water for Irrigation in Joganbedi Village, Khargone District, Madhya Pradesh, India." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 405–9. http://dx.doi.org/10.5194/isprsarchives-xl-8-405-2014.

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The study aimed at developing improved methods based on remote sensing and GIS techniques to increase cultivated area under irrigation. Landuse / landcover mapping was considered as the key component to prioritize locations for constructing appropriate recharge structures. Joganbedi scheme was proposed for this study. Joganbedi is situated 13 km. from Khargone, district Khargone, Madhya Pradesh, India. Command area of the proposed scheme lies in Beda sub-basin which is a tributary of the Narmada River. This area is of hard rock terrain and is occupied by the Deccan basalt. The main objective o

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Pratama, B. B., D. Pratiwi, and M. A. Qirom. "Monitoring and identifying forest burnt area using NBR Landsat and Landuse in Central Kalimantan." IOP Conference Series: Earth and Environmental Science 1241, no. 1 (2023): 012107. http://dx.doi.org/10.1088/1755-1315/1241/1/012107.

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Abstract Forest fires are one of the phenomena that occur in peatlands in Indonesia. This incident is due to changes in landuse in peatland and occurs repeatedly over a certain period of time. This study aims to monitor and identify burnt areas and landuse changes in the Kahayan River and Sebangau Peat Hydrological Unit (PHU) Central Kalimantan. The analysis was carried out on the Landsat imagery data series and landcover data from Ministry of Environment and Forestry Indonesia from 2014-2019. Analysis conducted with identifying burnt area using the Normalized Burn Ratio (NBR) and intersected

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8

Olojede O. A., Igbokwe J. I., Oliha A. O., and Ojanikele W. A. "Mapping and Modelling of Urban Landscape of Osogbo Metropolis, Osun State Nigeria, Using Artificial Neural Network." Journal of Engineering Research and Reports 25, no. 11 (2023): 88–98. http://dx.doi.org/10.9734/jerr/2023/v25i111024.

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Continuous Geospatial studies of the transitions in Landuse and landcover are very important especially as it relates to baseline assessment as an approach for advising in policy formulations concerning the natural resources sector. This study aimed at mapping and modeling the urban landscape of Osogbo metropolis, Osun state Nigeria, using an artificial neural network with the view of providing a framework for sustainable development and as well as generating data on Landuse and landcover change transitions and maps for planning purposes. Its objectives are to; model and analyze Landuse and la

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9

Yager, Gabriel ORTYOM. "Dynamics of landuse/landcover and its implication on fauna species habituation in Mbaav 1 forest reserve, Nigeria." Agriculture and Forestry Journal 4, no. 2 (2020): 112–20. https://doi.org/10.5281/zenodo.4310980.

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The study utilized Landsat imageries of 1985 and 2000 (Landsat Thematic Mapper (TM)), 2010 (Landsat Enhanced Thematic Mapper plus (ETM+)) and 2020 (Landsat Operational Land Imager (OLI)) to examine the trends in landuse/landcover dynamics in Mbaav 1 Forest Reserve. Percentage changes in landuse/landcover types for the years were determined. The analysis indicates that dense forest area which covers 1.50 km<sup>2</sup> at 86.93% of the total area of the forest in 1985 has been converted to other landuse. In the year 2020 virtually most of the dense forest area has been transformed owning to rap

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Köhl, Michael, and Katja Oehmichen. "Zur Verwendung von Landschaftsmasszahlen bei Wald- und Landschaftsinventuren: Überblick und Kritik | The application of landscape indices in forest and landscape inventories: review and critique." Schweizerische Zeitschrift fur Forstwesen 154, no. 1 (2003): 8–16. http://dx.doi.org/10.3188/szf.2003.0008.

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Landscape indices have been developed as a mean of describing the spatial structure of landscapes. This paper presents an overview of the concept and the approaches of the most commonly used landscape indices, which are mainly applied to spatial data in raster format. In order to describe the spatial diversity of a landscape, indices can be calculated as moving averages for sections of the landscape. This can be carried out using two concepts: geometric windows make use of fixed sections with low resolution, while geographic windows adapt the window size according to landcover or landuse class

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11

Parwati, Ety, Bambang Trisakti, Ita Carolita, Tatik Kartika, Sri Harini, and Ratih Dewanti. "ANALISIS HUBUNGAN PENUTUP/PENGGUNAAN LAHAN DENGAN TOTAL SUSPENDED MATTER (TSM) KAWASAN PERAIRAN SEGARA ANAKAN MENGGUNAKAN DATA INDERAJA." Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital 3, no. 1 (2006): 87–97. https://doi.org/10.30536/inderaja.v3i1.3183.

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Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the study area for this research. This region, like other estuaries, has a unique ecosystem which is protected and surrounded by the mangrove forest that can cause very dynamic development. In the upland, there are three big rivers flow; Citanduy, Cibeureum, and Cimeng. The main issue in this region is that the lagoon to become narrowing because of rapid sedimentation process. Landsat MSS, TM, and ETM of the years 1978, 1995, 1998, and 2003 are remote sensing data used in this research. An analysis in ter

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12

Meng, Jijun, Xiuqin Wu, and Zhengguo Li. "Landuse/landcover changes in Zhangye oasis of Hexi Corridor." Journal of Geographical Sciences 13, no. 1 (2003): 71–75. http://dx.doi.org/10.1007/bf02873149.

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13

Park, Jinwoo, and Jungsoo Lee. "Detection of landuse/landcover changes using remotely-sensed data." Journal of Forestry Research 27, no. 6 (2016): 1343–50. http://dx.doi.org/10.1007/s11676-016-0270-x.

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Pawar, Dr. D. H., Prin. R. B. Bansode, and Dr. A. K. Raskar. "Study of Landuse and Landcover Analysis of Panchaganga Basin." International Journal of Advance and Applied Research 10, no. 2 (2022): 571–77. https://doi.org/10.5281/zenodo.10867214.

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<strong>Introduction: </strong> In a river catchment area is natural environment and human-induced environmental changes are of concern today because of deterioration of environment. The study of land use and land cover changes is very important to have proper planning and utilization of natural resources and their management. Traditional methods for gathering gazette information, censuses, and analysis of environmental samples are not adequate for multicomplex environmental studies, since many problems often presented in environmental issues and great complexity of handling the multidisciplin

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15

Sashikkumar, M. C., and S. Rajakumar. "Landuse and Landcover changes impacts in harbour city of Thoothukudi." International Journal of Environment and Sustainable Development 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijesd.2020.10027035.

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Sharma, K. P., P. K. Garg, and S. K. Verma. "Spectral reflectance pattern study of some Indian landuse/landcover features." Journal of the Indian Society of Remote Sensing 14, no. 1 (1986): 11–16. http://dx.doi.org/10.1007/bf03007218.

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Joshi, Janardan. "Effect of Surface Characteristics and Rainfall in Infiltration Rate: A Case Study of Kaligandaki River Basin." Journal of Engineering Technology and Planning 4, no. 1 (2023): 96–111. http://dx.doi.org/10.3126/joetp.v4i1.58445.

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Study of infiltration characteristics is crucial for effective watershed management, as it helps determine the water availability for crops, the need of irrigation, groundwater recharge, and surface runoff. This study is aimed at identifying the relation between infiltration rate and surface characteristics as well as rainfall rate in the Kaligandaki River basin of Nepal using Hydrologic Modelling System (HEC-HMS). HEC-HMS is a physically based, semi-distributed model that uses the weather and spatial information of soil and landuse of the basin for deriving the inputs for the model. A hydrolo

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18

Masood, Aamir Bin, and Sana Khan. "Assessment of Landuse/Landcover Using Geoinformatics: A Case Study Of Pulwama District (Kashmir) India." Global Journal For Research Analysis 3, no. 7 (2012): 124–26. http://dx.doi.org/10.15373/22778160/july2014/41.

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Mashi, Sani Abubakar, Amina Ibrahim Inkani, Safirat Sani, and Hassana Shuaibu. "Assessment of Stakeholders’ Perceptions of Landuse/Landcover Change Drivers in Abuja, Nigeria." Journal of Geographical Research 5, no. 2 (2022): 44. http://dx.doi.org/10.30564/jgr.v5i2.4273.

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Landuse/Landcover (LULC) changes are recognised as some of the major causes of environmental problems like land degradation and climate change. To achieve sustainability, we need to properly understand such changes in order to have adequate information that will enable us to design and implementing measures to mitigate their negative impacts. Doing this particularly requires a proper understanding of how stakeholders perceive the changes in general and their drivers in particular. Unfortunately,not much is known for many areas about the perspective of landuse stakeholders on drivers of LULC ch

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20

Zylshal, Zylshal, Rachmad Wirawan, and Dony Kushardono. "Assessing the Potential of LAPAN-A3 Data for Landuse/landcover Mapping." Indonesian Journal of Geography 50, no. 2 (2018): 184. http://dx.doi.org/10.22146/ijg.31449.

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LAPAN-A3 / LAPAN-IPB is the third generation of micro-satellite developed by Indonesian National Institute of Aeronautics and Space (LAPAN). The satellite carries a multispectral push-broom sensor that can record the earth's surface at the visible and near-infrared spectrum. Being launched in June 2016, there has no been many publications related to the use of LAPAN-A3 multispectral data for landuse/landcover (LULC) mapping. This paper aims to provide information regarding the use of LAPAN-A3 data for the LULC extraction maximum likelihood algorithm as well as neural network and then evaluate

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WAHID, Din Ara, and Tsuyoshi AKIYAMA. "Possibilities of landuse/landcover classification using ALOS AVNIR-2 in Takayama." Journal of the Japan society of photogrammetry and remote sensing 46, no. 5 (2007): 56–67. http://dx.doi.org/10.4287/jsprs.46.5_56.

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Victor, Ezie, and Nwodo G.O. "LANDUSE AND LANDCOVER CHANGE DETECTION ANALYSIS IN UDU L.G.A., DELTA STATE." International Journal of Applied Science and Research 07, no. 03 (2024): 33–51. http://dx.doi.org/10.56293/ijasr.2024.5903.

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The ecosystems of many cities in emerging nations are changing and being modified. Approximately 10 million hectares of the global forest cover are being used for various purposes. Between 1995 and 2025, agriculture in Nigeria is expected to rise by 10 million hectares, while forest cover is expected to decline by 1.9 million hectares. This shows that Nigeria has been through a wide range of changes to its land use and land cover. This study examines the patterns and trends of land use and land cover changes in Udu Local Government Area, Southern (Niger Delta area) Nigeria from 2000 to 2020 wi

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Astika, I. Komang Putra, I. Wayan Diara, and Ida Bagus Putu Bhayunagiri. "Monitoring dan Evaluasi Perubahan Penggunaan Lahan Berbasis Penginderaan Jauh di Kecamatan Klungkung, Kabupaten Klungkung." Agrotrop : Journal on Agriculture Science 13, no. 3 (2023): 370. https://doi.org/10.24843/ajoas.2023.v13.i03.p06.

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Monitoring and Evaluation of Landuse Changes based on Remote Sensing in Klungkung District, Klungkung Regency. Bali Province is one of the tourism destinations in Indonesia, the tourist destinations, offered include beauty of nature, art, culture traditions, and historical buildings one of them is in the Klungkung District such as Kertagosa, Gunarsa Museum the Klungkung Monument. Klungkung District has a large population that a 65,273 people, which can changes in landuse, therefore the research about monitoring and evaluation of landuse change in Klungkung district is needed. The purposes of t

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Ligade, D.N., and N.G. Mali. "Application of RS and GIS in Landuse and Landcover Mapping in Solapur City." Aayushi International Interdisciplinary Research Journal (2349-638X), Special-44 (February 15, 2019): 199–201. https://doi.org/10.5281/zenodo.6361375.

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Landuse and Landcover is result of natural and manmade features covered on the Earth surface. There were some fundamental differences between Land use and land cover Land use refers to the purpose the land serves (recreation wildlife habitat or agriculture) which does not describe the surface cover on the ground ie a recreational land use could occur in a forest, scrubland grasslands or on manicured lawns And other hand Land cover commonly defined as the vegetation (natural/planted) or manmade constructions which occur on the Earth surface Landcover refers to the surface cover on the ground wh

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S. Al-Mashhadani, Ahmad. "STUDY OF LANDCOVER/LANDUSE IN SHARAZUR PLAIN BY USING REMOTE SENSING TECHNIQUES." Mesopotamia Journal of Agriculture 37, no. 1 (2009): 2–11. http://dx.doi.org/10.33899/magrj.2009.27374.

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Ansari, Ziaur Rehman, L. A. K. Rao, and Sameer Saran. "Effect of geology and geomorphology on landuse/landcover in Himalayan foothill, Dehradun." Journal of the Geological Society of India 81, no. 6 (2013): 827–34. http://dx.doi.org/10.1007/s12594-013-0108-5.

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J.C, Ojiako, and Igbokwe E.C. "Trend Analysis of Landcover/ Landuse Change in Patani L.G.A, Delta State Nigeria." International Journal of Advanced Engineering Research and Science 4, no. 9 (2017): 90–93. http://dx.doi.org/10.22161/ijaers.4.9.16.

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Jajere, Ahmed, Muhammad Isma’il, and Ibrahim Musa. "Analysis of Landuse/Landcover Change in Damaturu Town of Yobe State, Nigeria." Advances in Research 3, no. 1 (2015): 7–19. http://dx.doi.org/10.9734/air/2015/8364.

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M. Yahya, Bashar, and Khansaa A. Ahmed. "landuse landcover Change Detection Near Mosul Dam Lake using Digital Image Processing." Iraqi National Journal of Earth Science (INJES) 13, no. 2 (2013): 11–22. http://dx.doi.org/10.33899/earth.2013.79651.

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Marić, Ivan, and Luka Smajo. "Spatio-Temporal Landuse/Landcover (LU/LC) Changes of Significant Landscape „Barćeve Špilje“." Geodetski glasnik, no. 54 (December 31, 2023): 5–31. http://dx.doi.org/10.58817/2233-1786.2023.57.54.5.

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Changes in the land use/land cover (LU/LC) model caused by different anthropogenic and natural factors are an important object of numerous scientific research. In this paper, an analysis of the spatio-temporal changes (LUCCs) for the area of Significant landscape (SL) of the „Baraćeve špilje“ in the period from 1960 to 2021 was performed. Using aerial photographs and a hybrid classification method, LU/LC models and spatio-temporal changes (STCs) analysis were performed. The research showed that the abandonment of agriculture and the slow disappearance of anthropogenic influence led to the disa

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M. Ganesh, K., M. Jagannadha Rao, G. Jai Sankar, and A. S. S.Vara Prasad. "Evaluation of Geomorphological Landforms, Lineaments and Landuse/Landcover Using Geospatial Technologies in Parts of Nalgonda District, Telangana State, India." International Journal of Engineering & Technology 7, no. 3.31 (2018): 200. http://dx.doi.org/10.14419/ijet.v7i3.31.18297.

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The present study is aimed to evaluate hydrogeomorphology, lineaments and landuse/landcover aspects of the study area using the IRS-IC & ID images. The false colour composition of IRS-IC & ID images are used for this study. It is advantageous to use satellite multispectral data as the image data in different bands can be exposed to digital improvement techniques. So the differences in objects can be highlighted to enhance the understanding of the image. Landforms are interpreted on the basis of interpretation element keys such as- tone, texture, size, shape, color etc. and extract the

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Deshpande, T., and S. Pardeshi. "Human-Induced Landscape Alteration in the Coastal Regulation Zone of Goa, India, from 2000 to 2017." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 16, no. 1 (2023): 36–44. http://dx.doi.org/10.24057/2071-9388-2021-093.

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In Goa, the tourism industry is the major cornerstone of the economy. With the increasing number of tourists along the coastal areas, more tourism-related infrastructure is emerging within the Coastal Regulation Zone. The sensitive and fragile coastal zones are being covered by concrete structures and the coastal environment becomes vulnerable to degradation. The objective of the paper was to study the changes in landuse and landcover in the Coastal Regulation Zone of Salcete taluka using remote sensing data and geospatial techniques. To fulfill the objective, both primary and secondary data w

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Ezeomedo, Amaka P., Nwabueze I. Igu, Innocent C. Ezeomedo, and Esomchukwu C. Igbokwe. "Landuse and Landcover Mapping to Assess Forest Ecosystem Change in Ihiala Lga, Southeastern Nigeria." International Journal of Research and Scientific Innovation XI, no. VIII (2024): 1083–94. http://dx.doi.org/10.51244/ijrsi.2024.1108084.

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The result of landuse and landcover (LULC) change detection indices is very useful for natural resource monitoring and landuse management. Hence, this study aimed at assessing the forest ecosystem variation of Ihiala Local Government Area (LGA), southeastern Nigeria using remote sensing technique. The major source of the data were the LANDSAT-TM (1987), LANDSAT-7ETM (2003), LANDSAT OLI-TIRS (2015) and LANDSAT-8 (2022) satellite imageries that were acquired online from the website of U.S. Geological Survey. The research methodology was purely remote sensing analysis of the satellite imageries o

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Kadiza, Doulay, Abdoulaye Diouf, Abou-Soufianou Sadda, and Ibrahim Baba Yakubu. "Landuse/landcover change process in a tropi¬cal semi-arid zone: case of two rural com¬munes (Chadakori and Saé-Saboua) in Maradi region, Republic of Niger." Landscape & Environment 13, no. 1 (2019): 1–12. http://dx.doi.org/10.21120/le/13/1/1.

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The study aimed to analyze the process of Landuse/Landcover change of two rural communes (SaéSaboua and Chadakori) of Maradi region (Republic of Niger) over the past 28 years (1986 – 2014),through landscape structure analysis by diachronic cartographic approach and landscape indices. Mixedclassification of temporal series of Landsat images led to identifying six Landuse/Landcover (LULC)classes, namely ”cultivated land under shrubs and trees”, ”cultivated land under trees”, “continuouscropland”, ”fallow/pasture land”, ”forest reserve”, and ”settlement”. The composition and structure ofthe studi

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Bose, S., A. Mazumdar, and S. Basu. "Monitoring Change in Urbanization and Green Space for Eastern Indian Cities in 30 Years-A Comparison between Kolkata and Bhubaneswar." IOP Conference Series: Earth and Environmental Science 1164, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1755-1315/1164/1/012013.

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Abstract Advancement in technology has made a new sphere of geospatial exploration. Application of geoinformatics in Landuse and Landcover study has made quantitative analysis most clear. Urbanization process is an inevitable factor in developing countries like India. Last 30 years eastern India has also been changed itself in terms of urban development. Kolkata and Bhubaneswar are two most important cities in eastern India where urban growth has taken place rapidly. Landuse and landcover pattern has also changed here with time. Urbanization process of both cities has been identified using sat

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Annayat, Wajahat, Kumar Ashwini, and Briti Sundar Sil. "Channel Migration Detection and Landuse/Landcover Changes for Barak River in Northeast India." Journal of the Geological Society of India 98, no. 7 (2022): 981–90. http://dx.doi.org/10.1007/s12594-022-2104-0.

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Mohammed Hamud, Ahmed, Husni Mobarak Prince, and Helmi Zulhaidi Shafri. "Landuse/Landcover mapping and monitoring using Remote sensing and GIS with environmental integration." IOP Conference Series: Earth and Environmental Science 357 (November 25, 2019): 012038. http://dx.doi.org/10.1088/1755-1315/357/1/012038.

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Poorva, Ar, and Ar Ananya. "A Review of Change in Landuse Landcover Pattern of Agra-Mathura-Bharatpur Region." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem37184.

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The research paper aims of analyzing the existing scenario of LULC and settlement pattern of the Agra-Mathura- Bharatpur Region . The region comprises of whole of the districts of Agra , Mathura and Bharatpur . The defined region is a industrial and tourism based region because of the development of leather, textile and agro based industries in Agra and concentration of tanneries,oil mills , bleaching and dying industries in Mathura along with religious sites at Mathura,Vrindavan and World heritage sites at Agra . The planning region has 94.5Lakhs population with Agra having the largest popula

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Isma’il, Muhammad, and Saidu Abubakar. "Geospatial Analysis of Landuse/Landcover Change in Wudil Town of Kano State, Nigeria." International Journal of Scientific Research in Environmental Sciences 3, no. 5 (2015): 189–98. http://dx.doi.org/10.12983/ijsres-2015-p0189-0198.

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Isma’il, Muhammad, and Saidu Abubakar. "Geospatial Projection of Landuse/Landcover Change in Wudil Town of Kano State, Nigeria." International Journal of Scientific Research in Environmental Sciences 3, no. 11 (2015): 401–10. http://dx.doi.org/10.12983/ijsres-2015-p0401-0410.

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Fetene, Aramde, Thomas Hilker, Kumelachew Yeshitela, Ruediger Prasse, Warren Cohen, and Zhiqiang Yang. "Detecting Trends in Landuse and Landcover Change of Nech Sar National Park, Ethiopia." Environmental Management 57, no. 1 (2015): 137–47. http://dx.doi.org/10.1007/s00267-015-0603-0.

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Gupta, H. "Change detection of landcover/landuse type in Bhagwan Birsa Biological Park – Geospatial approach." Indian Journal of Forestry 28, no. 1 (2005): 101–4. http://dx.doi.org/10.54207/bsmps1000-2005-9o53t8.

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In the present study, the change monitoring of vegetation cover has been doen for the Bhagwan Birsa Biological Park of Ranchi over a period of 12 years. This involved the classification of land use using ERDAS IMAGINE software IRS LISS II data of 1991 and IRS LISS III data of 1996. The change in different class of forest in the Biological Park’s area in various periods has been analyzed critically for various reasons leading to it. The study demonstrates that Remote Sensed data can be useful for Forest/Wildlife Manager by providing them spatial information of their territory which can be analy

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Nayak, Diljit Kumar, Gazala Habib, and Sri Harsha Kota. "Can Landuse Landcover changes influence the success of India's national clean air plans ?" Atmospheric Environment: X 22 (April 2024): 100251. http://dx.doi.org/10.1016/j.aeaoa.2024.100251.

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Sajib, Abdul Majed, and Md Moniruzzaman. "Driving Forces of Landuse and Landcover Changes in the North-eastern Part of Dhaka Conurbation." Dhaka University Journal of Earth and Environmental Sciences 10, no. 2 (2022): 53–66. http://dx.doi.org/10.3329/dujees.v10i2.57515.

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The study identifies decadal landuse and landcover (LULC) changes during 1988-2017 in north-eastern Dhaka conurbation of Bangladesh. Driving forces behind the changes in the study area have also been investigated.In this study, LULC changes were studied using two Landsat sensors. GIS post-processing technique was used for satellite image classification, while an in-depth literature review was conducted to identify the drivers of land cover change. Accuracy for the classified maps ranged from 79percent to 86percent. It was found that agricultural land decreased 47.02 percent while homestead veg

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Das, Krishna, and Ashok Kr Bora. "Analysis of landuse/landcover in Dhemaji district of Assam using IRS LISS III data." Asian Journal of Research in Social Sciences and Humanities 7, no. 7 (2017): 284. http://dx.doi.org/10.5958/2249-7315.2017.00386.0.

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Reddy, R. Sanjeeva. "Landsat-8 vs. Sentinel-2: Landuse Landcover Change Analysis and Differences in Gudur Municipality." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 160–66. http://dx.doi.org/10.22214/ijraset.2021.32711.

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With the recent free availability of moderate to high spatial resolution data (10m-30m), land use analysis became more robust. The launch of Sentinel-2a by the European Space Agency, coupled with the availability of free Landsat data, availed more analysis capabilities for the science community with a wide variety of temporal, spatial, and spectral capabilities. This study compares the synergetic use of Landsat and Sentinel-2 in mapping Land Use Land cover themes in Gudur, explicitly utilizing the red edge band of Sentinel-2. A combination of both sentinel and Landsat data results in higher sp

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Mukhtar, I., E. O. Iguisi, A. U. Shehu, et al. "EFFECTS OF LANDUSE AND LANDCOVER CHANGE ON FLOODING IN KANO METROPOLIS, KANO STATE, NIGERIA." FUDMA JOURNAL OF SCIENCES 4, no. 3 (2020): 505–12. http://dx.doi.org/10.33003/fjs-2020-0403-368.

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ABSTRACT This paper looked at the change in land use land cover (LULC) of Kano metropolis from 2001 to 2012; projected to 2035 and thereby assessing the response of these different land covers to rainfall event using the Hydrologic Engineering Corps- Hydrologic Modelling System (HEC-HMS) model. The outcome of the LULC revealed that the built-up areas increased from 19.7% to 34.4% and then to 54.4% in 2001, 2012 and 2035, respectively. The discharge of Jakara basin indicated a rise from 2001, 2012 to 2035 in the order of 443, 585.2 to 609.7 cm3/sec respectively. However, that of Chalawa s

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Hakim, A. M. Y., S. Baja, D. A. Rampisela, and S. Arif. "Spatial dynamic prediction of landuse / landcover change (case study: tamalanrea sub-district, makassar city)." IOP Conference Series: Earth and Environmental Science 280 (August 12, 2019): 012023. http://dx.doi.org/10.1088/1755-1315/280/1/012023.

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Ojha, Susil, Lila Puri, Suraj Prasad Bist, Arjun Prasad Bastola, and Bishwabandhu Acharya. "Watershed prioritization of Kailali district through morphometric parameters and landuse/landcover datasets using GIS." Heliyon 9, no. 6 (2023): e16489. http://dx.doi.org/10.1016/j.heliyon.2023.e16489.

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Ademu, I., H. B. Sylvanus, and O. A. Oluwole. "Landuse and Landcover Changes in Anyigba Dekina Local Government Area of Kogi State, Nigeria." Journal of Applied Sciences and Environmental Management 29, no. 3 (2025): 849–55. https://doi.org/10.4314/jasem.v29i3.21.

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The objective of this paper was to investigate the landuse and landcover (LULC) changes in Anyigba, Dekina Local Government Area of Kogi State, Nigeria to evaluate the annual rate of change, predicts future trends, and examines the implications of these changes using Landsat imagery from 1998, 2010, and 2022 obtained from the United States Geological Survey (USGS) and processed by ArcGIS. The findings reveal significant shifts in LULC patterns between 1998 and 2022. Urban areas expanded dramatically by 84.56 km² (1289.02%), with an annual growth rate of 3.52%, while agricultural land, once the

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