Spatial Techniques for Soil Erosion Estimation Remote Sensing and GIS Approach /

• Κύριος συγγραφέας: Patil, Rupesh Jayaram (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: SpringerBriefs in GIS,
• Θέματα: Geographical information systems.; Hydrology.; Civil engineering.; Geomorphology.; Geographical Information Systems/Cartography.; Hydrology/Water Resources.; Civil Engineering.
• Φυσική περιγραφή: XIX, 81 p. 23 illus., 21 illus. in color. online resource.
• ISBN: 9783319742861
• ISSN: 2367-010X
• DOI: 10.1007/978-3-319-74286-1

This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models. .