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03412nam a2200517 4500 |
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978-3-319-74286-1 |
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20191022032325.0 |
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180207s2018 gw | s |||| 0|eng d |
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|a 9783319742861
|9 978-3-319-74286-1
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|a 10.1007/978-3-319-74286-1
|2 doi
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|d GrThAP
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|a GA1-1776
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|a RGW
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|a SCI030000
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|a 910.285
|2 23
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|a Patil, Rupesh Jayaram.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Spatial Techniques for Soil Erosion Estimation
|h [electronic resource] :
|b Remote Sensing and GIS Approach /
|c by Rupesh Jayaram Patil.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XIX, 81 p. 23 illus., 21 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in GIS,
|x 2367-010X
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|a Introduction -- Usle - Gis Based Soil Erosion Assessment: An Overview -- Study Area and Data Collection -- Spatial Techniques for Soil Erosion Estimation -- Distributed Soil Erosion Modelling -- Summary, Conclusions and Suggestions for Further Work.
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|a 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. .
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|a Geographical information systems.
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|a Hydrology.
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|a Civil engineering.
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|a Geomorphology.
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|a Geographical Information Systems/Cartography.
|0 http://scigraph.springernature.com/things/product-market-codes/J13000
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|a Hydrology/Water Resources.
|0 http://scigraph.springernature.com/things/product-market-codes/211000
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650 |
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|a Civil Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/T23004
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|a Geomorphology.
|0 http://scigraph.springernature.com/things/product-market-codes/J16010
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319742854
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776 |
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|i Printed edition:
|z 9783319742878
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830 |
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|a SpringerBriefs in GIS,
|x 2367-010X
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856 |
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|u https://doi.org/10.1007/978-3-319-74286-1
|z Full Text via HEAL-Link
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|a ZDB-2-EES
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950 |
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|a Earth and Environmental Science (Springer-11646)
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