The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level.
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Earned M.Tech in 2009 & pursuing PhD in Hydrology & Watershed Management from IIT Kharagpur, India. Currently working as Asst Prof. of Soil & Water Engg in Navsari Agricultural University, Gujarat. His research areas are Hydrological modeling, Watershed management & Application of Remote sensing and GIS for water resources planning & management.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level. 72 pp. Englisch. Bestandsnummer des Verkäufers 9783659532719
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shinde VipulEarned M.Tech in 2009 & pursuing PhD in Hydrology & Watershed Management from IIT Kharagpur, India. Currently working as Asst Prof. of Soil & Water Engg in Navsari Agricultural University, Gujarat. His research areas are . Bestandsnummer des Verkäufers 385767370
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9783659532719
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main thought of this work is to recommend the method of estimating soil erosion and prioritization of watersheds where data availability is major concern. In these circumstances, the use latest technologies such as remote sensing and GIS plays crucial role. The main advantages of these technologies are that, it provides accurate information and that to from any part of the area under investigation. This work was carried out by author for fulfillment of M.Tech degree from IIT Kharagpur, INDIA. The study mainly focuses on application of most widely used Universal Soil Loss Equation (USLE) to predict soil erosion hazard in the Upper Damodar Valley Catchment (UDVC) of India. Micro-watershed wise soil loss was estimated and prioritization of micro watersheds was done with the help of annual average R factor obtained from 9 years rainfall data. Other factors viz. K, LS and CP were used for this analysis. The treatment plan for controlling soil erosion is also suggested at micro watershed level. Remote sensing and GIS techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion at micro watershed level. Bestandsnummer des Verkäufers 9783659532719
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Taschenbuch. Zustand: Neu. Soil Erosion Modelling using Remote Sensing and GIS | Vipul Shinde (u. a.) | Taschenbuch | 72 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659532719 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 113840038
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