Land Use/Cover Change Detection in the Western Part of Upper Indo-Gangetic Plains of Uttar Pradesh, India - A Geospatial Approach

Ganesh D. Bhatt, Jyoti K. Sharma


The satellite data of 2004, 2010 and 2017 were classified employing supervised classification techniques. The land use/cover was classified as: forest, grassland, agriculture, wasteland, settlement, wetland and waterbody all categories are used. The accuracy assessment of land use/cover showed overall accuracy of 76.05% with kappa statistic (Khat-0.68) was 0.75. The result showed significant changes in land use/cover classes during the six year period. In 2004, of the total of 850 km2, the maximum area was occupied by agriculture 521.86 km2 (61.04 %) followed by wetland 124.97 km2 (14.70 %), grassland 106.07 km2 (12.48 %), wasteland 51.59 km2 (6.07%), settlement 26.27 km2 (3.09%), forest 13.85 km2 (1.63%) and waterbody 5.39 km2 (0.63%). However, within a span of six years in 2010 the land use pattern showed drastic changes. Due to urbanization, area under settlements increased by adding 223.08 km2 (47.76%) at the expanse of agriculture (26.17%), wetland (57.17%), wastelands (23.67% and grassland (20.92%). Loss of agricultural land (121.32 km2) due to expansion of settlements got compensated by conversion of grassland (93.20 km2), wasteland (44.94 km2) and wetland (102.25 km2 into cultivated lands. The significant loss was observed in wetlands on a total of 159.42 km2 of wetlands were lost to agriculture 102.25 km2 (22.06%) and settlements 57.17km2(12.33%) accounting for a total loss of 34.39% area under wetland. Loss of biodiversity rich wetland is likely to affect migratory birds’ habitat. The paper discussing and needs the importance of digital change detection techniques for land use/cover changes for a land management and policy planning approach for NCR region of Uttar Pradesh



Remote Sensing; Land Use/cover; Change Detection Techniques; Upper Gangetic Plains; Urbanization


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