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Remote Sensing and GIS Technology
Details
The study aimed at estimating runoff and sediment yield by using remote sensing and GIS techniques in catchment. Thematic layers of soil, topographic elevation, slope, land use/land cover (LULC) were generated in GIS platform by using existing soil map, SRTM DEM, and IRS-P4 satellite imagery. The GIS-based soil map was used to develop hydrologic soil group (HSG) map of the study area. HSG and LULC maps were used to generate curve number (CN) map in the GIS environment. Weighted CN value under antecedent moisture condition (AMC) type I, II and III for catchment was computed based on the GIS-based CN map, which were used to compute annual surface runoff. Furthermore, GIS-based maps of six USLE model factors, R, K, L, S, C and P, were generated. Raster maps of the six USLE factors were multiplied to estimate sediment yield on pixel basis.
Autorentext
Currently working Senior Research Fellow at MPUAT, Udaipur (RJ), India. She obtained her B.E. (Agri. Engg.) and M. E. (Soil Water Conservation Engineering) from Maharana Pratap University of Agriculture and Technology, Udaipur (RJ), India. She has published several research papers in various journals.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659364495
- Sprache Englisch
- Größe H220mm x B220mm x T150mm
- Jahr 2013
- EAN 9783659364495
- Format Kartonierter Einband (Kt)
- ISBN 978-3-659-36449-5
- Titel Remote Sensing and GIS Technology
- Autor Pratibha Katara , Deeepesh Machiwal , Arun Bhagat
- Untertitel Estimation of Runoff and Soil loss
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 96
- Genre Biologie