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Appraisal of Land Use/Land Cover Change Over Tehri Catchment Using Remote Sensing and GIS
The Himalayan reservoirs have immense significance from the point of view of water resources planning and management. However, natural and anthropogenic changes and their effects upon these reservoirs are often not explored, mainly due to limitations of data availability. This chapter presents an appraisal of land use/land cover (LULC) changes over the Tehri catchment located at the lower Himalayan region, using remote sensing and geographic information system (GIS). The imageries are collected for different years, i.e., 2008, 2014, and 2020 from the Landsat 5, Landsat 8, and Sentinel 2 satellites, respectively, with the objective of deriving information on different LULC classes. Following a supervised classification, the catchment area is divided into eight classes, viz. open forest, dense forest, water bodies, shrubland, agricultural land, settlements, barren land, and snow covers. The accuracy of classification is assessed with respect to the Google Earth images and ground truth verification. A comparison between the areal coverage of the LULC classes was analyzed for temporal LULC change detection over the catchment. Comparing 2008 and 2020, it is clear that the dense forests and barren land have decreased. On the other hand, an increase in the open forests, water bodies, shrubland, snow, and settlement is observed. The accuracy assessment results confirm that the LULC changes reported in this study are justifiably accurate and utilizable for further applications. The results reported in this study may be helpful to frame solutions to hydrological problems of the Tehri catchment. Moreover, this study highlights the usefulness of remote sensing and GIS in hydrological applications, even in mountainous catchments.
Appraisal of Land Use/Land Cover Change Over Tehri Catchment Using Remote Sensing and GIS
The Himalayan reservoirs have immense significance from the point of view of water resources planning and management. However, natural and anthropogenic changes and their effects upon these reservoirs are often not explored, mainly due to limitations of data availability. This chapter presents an appraisal of land use/land cover (LULC) changes over the Tehri catchment located at the lower Himalayan region, using remote sensing and geographic information system (GIS). The imageries are collected for different years, i.e., 2008, 2014, and 2020 from the Landsat 5, Landsat 8, and Sentinel 2 satellites, respectively, with the objective of deriving information on different LULC classes. Following a supervised classification, the catchment area is divided into eight classes, viz. open forest, dense forest, water bodies, shrubland, agricultural land, settlements, barren land, and snow covers. The accuracy of classification is assessed with respect to the Google Earth images and ground truth verification. A comparison between the areal coverage of the LULC classes was analyzed for temporal LULC change detection over the catchment. Comparing 2008 and 2020, it is clear that the dense forests and barren land have decreased. On the other hand, an increase in the open forests, water bodies, shrubland, snow, and settlement is observed. The accuracy assessment results confirm that the LULC changes reported in this study are justifiably accurate and utilizable for further applications. The results reported in this study may be helpful to frame solutions to hydrological problems of the Tehri catchment. Moreover, this study highlights the usefulness of remote sensing and GIS in hydrological applications, even in mountainous catchments.
Appraisal of Land Use/Land Cover Change Over Tehri Catchment Using Remote Sensing and GIS
Water Sci.,Technol.Library
Pandey, Ashish (editor) / Chowdary, V. M. (editor) / Behera, Mukunda Dev (editor) / Singh, V. P. (editor) / Swain, Sabyasachi (author) / Mishra, Surendra Kumar (author) / Pandey, Ashish (author)
2021-12-07
15 pages
Article/Chapter (Book)
Electronic Resource
English
Using Remote Sensing to Detect and Monitor Land-Cover and Land-Use Change
| Online Contents | 1994
Remote sensing for mapping and monitoring land-cover and land-use change
| Elsevier | 2003