| 书目名称 | Spatial Techniques for Soil Erosion Estimation |
| 副标题 | Remote Sensing and G |
| 编辑 | Rupesh Jayaram Patil |
| 视频video | |
| 概述 | Discusses different approaches on the implementation of the influence of topography on erosion.Provides an executable C++ program for computation of the LS factor.Important tool for developing regiona |
| 丛书名称 | SpringerBriefs in GIS |
| 图书封面 |  |
| 描述 | This book presents a novel computation of the topographic LSfactor 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 levelas well as applicants of soil erosion models.. |
| 出版日期 | Book 2018 |
| 关键词 | Universal Soil Loss Equation (USLE) model; Digital elevation model (DEM); C++ programming; Hydrological |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-74286-1 |
| isbn_softcover | 978-3-319-74285-4 |
| isbn_ebook | 978-3-319-74286-1Series ISSN 2367-010X Series E-ISSN 2367-0118 |
| issn_series | 2367-010X |
| copyright | The Author(s) 2018 |
发表于 2025-3-21 19:59:09
