Priyanka, T. and Veeraiah, B. and Jogu, Linga Swamy (2024) Terrain Analysis of Elements Using LISS-IV Satellite Image in Bhainsa Region, Northwestern Part of Nirmal District, Telangana State, India. Asian Journal of Geographical Research, 7 (2). pp. 107-122. ISSN 2582-2985
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Abstract
Terrain is considered one of the most important natural geographic features and is a vital factor in physical processes. This study focuses attention on terrain analysis of the study area. The effect of this terrain analysis on the surface characteristics were analyzed, this was achieved by generating and extracting data and a high-resolution 5.8m satellite image (IRS P6-LISS IV) of the area respectively. The Remote sensing satellite data and geographic information system (GIS) are used in terrain analysis is defined as the study of the nature, like drainage, digital elevation model (DEM), land use/ land cover, lithology, geomorphology features, and soil characteristics around the Bhainsa region, northwestern part of Nirmal district. The drainage pattern is dendritic to sub-dendritic and the topography of the study region is undulating with a gentle slope towards southeast. The morphological features composition of land forms, the result of which is a land form or land component of the region. The diverse land use categories such as forest, agriculture, water bodies, drainage, and the land cover pattern are divided into agriculture land, barren land, forest, built up, mining and industrial, scrub land and water bodies. The major litho-units in the study area are occupied by granitic terrain and deccan traps basalt. The soils are covered in region black clayey, reddish brown, and gravelly clay red soils. IRS P6-LISS IV, 2016 satellite image made optimum utilization for the interpretation of terrain analysis. The terrain parameters were further used as input to analyze the surface characteristics in the locality.
Item Type: | Article |
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Subjects: | Apsci Archives > Geological Science |
Depositing User: | Unnamed user with email support@apsciarchives.com |
Date Deposited: | 21 Jun 2024 06:59 |
Last Modified: | 21 Jun 2024 06:59 |
URI: | http://eprints.go2submission.com/id/eprint/2822 |