Integrating Remote Sensing and GIS for Land Use Land Cover Detection and Terrain Evaluation in Churachandpur District, Manipur, India
T.L. Haokip, P. Lienzapau Gangte, T.K. Prasad, Khaiminlun Haokip, Md. Baharuddin Shah
Asian Journal of Geographical Research · pp. 285–304 · Published 16 Jul 2025
10.9734/ajgr/2025/v8i3293Abstract
The Physical environment and land use and land cover (LULC) dynamics of Churachandpur district, Manipur are investigated analytically using Geographic Information System [GIS] methods and high-resolution remote sensing (RS) data. The diverse terrain and changing land use practices of the recently demarcated district necessitate a thorough and accurate examination of the physical data for sustainable development. Anthropogenic impacts, topographical influences and land use trends were discovered through the analysis of spatial datasets, offering vital information for environmental management and regional planning. The study produced detailed maps of physical features using RS and GIS methodologies. Sentinel-2A multispectral imagery (10 m resolution), LANDSAT 8 satellite imagery, terrain-corrected SRTM (30 m resolution) and other data sources, along with structural characteristics like curvature, slope, elevation and rainfall distribution.
Cited by 3
P. Lienzapau Gangte, Md. Baharuddin Shah, T. Haokip · British Journal of Contemporary Research · 2026
T. Haokip, T. Prasad, J. G. · American Journal of Remote Sensing · 2026
Francis Sangma, B. Guru · Discover Geoscience · 2026
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