We would also thankful to the US Geological Survey for provides Landsat satellite imageries for the land use analysis free of cost. Funding Funding is received from the University Grants Commission, National Eligibility Test (UGC-NET) Junior Research Fellowship for conducting the present research....
Most of these criteria are generated from the SRTM DEM, which allows for geomorphic and morphometric analyses, ensuring the production of consistent results in a timely and cost-effective manner [19,55]. In addition to these criteria, land use/land cover (LU/LC) maps have the potential to ...
(RF) classifier, a robust classification method, in the Google Earth Engine (GEE) using imagery from Landsat 5, 7, and 8 as inputs for the 1985 to 2019 period. We also explored the performance of the pan-sharpening algorithm on Landsat bands besides the impact of different image ...
This methodology has also been applied in no-till cultivation operations, focusing on cost and carbon benefits [109]. The impact of agricultural policy reform on land prices shows quantitative analysis as a focal area [77] and their effects on plant density on a global scale [110], as well...
To analyze LULC changes in Vijayawada, Visakhapatnam, and, Tirupati and assess spatio-temporal variations based on LULC changes. (ii) To analyze the transformation of surface temperature between vegetated and urbanized areas, correlating 20 years of considered data from LST, NDVI, and associated with...
However, there is a strong negative correlation between the GDP and vegetation area (R2 = 0.97) in Guangzhou City, China. As a consequence, the increase of built-up area was at the cost of the reduction of vegetation area. Keywords: land use/cover change; remote sensing; classification; ...