The current study was taken up to investigate the utility of the Remote Sensing (RS) and Geographic Information System (GIS) tools for evaluation of 13 Integrated Watershed Development Programme watershed projects implemented during 2009-2016 in Kurnool District of Andhra Pradesh. The study was carried out using high resolution Resourcesat-2, Linear Imaging self-Scanning System (LISS)-IV data of 2011 (pre-treatment) and 2016 (post-treatment) to assess the changes in land use/land cover and biomass over a period of five years (2011-16). Due to implementation of the watershed developmental activities, an additional area of 15100 ha has been brought under cultivation. The vegetation maps indicated that 20531 ha of fallow land converted to dense (9533 ha) and open vegetation (10249) categories during the project period due to the adoption of soil and water conservation practices. An additional area of 280 ha (5.72%) increased under water bodies and 1352 ha waste land converted to cultivable land due to construction of farm ponds, percolation tanks and check dams. This area is attributed to cropland and plantations in the year 2016.
Change detection studies have been carried out for evaluation of fifteen watersheds in Anantapuramu District of Andhra Pradesh. The study was carried out using high resolution Resourcesat-2, Linear Imaging and Self Scanning-IV (LISS-IV) data of 2011 (pre-treatment) and 2016 (post-treatment) to assess the changes in land use/land cover and biomass over a period of five years (2011-16). With the implementation of the watershed developmental activities, an additional area of 14440 ha has been brought under cultivation. The output of Normalized Difference Vegetation Index classification indicates the increase in dense vegetation from 5842 ha to 13160 ha. An additional area of 396 ha increased under water bodies and 1101 ha waste land converted to cultivable land due to construction of farm ponds, percolation tanks and check dams.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.