SVM-based geospatial prediction of soil erosion under static and dynamic conditioning factors

SVM-based geospatial prediction of soil erosion under static and dynamic conditioning factors

Land degradation caused by soil erosion remains an important global issue due to its adverse consequences on food security and environment. Geospatial prediction of erosion through susceptibility analysis is very crucial to sustainable watershed management. Previous susceptibility studies devoid of...

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Bibliographic Details
Main Authors: Muhammad Raza, Ul Mustafa, Abdulkadir, Taofeeq Sholagber, Khamaruzaman, Wan Yusof, Ahmad Mustafa, Hashim, M., Waris, Muhammad, Shahbaz
Format: Conference or Workshop Item
Language:English
Published: EDP Sciences 2018
Subjects:
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/22550/13/SVM-based%20geospatial%20prediction.pdf
http://umpir.ump.edu.my/id/eprint/22550/
https://doi.org/10.1051/matecconf/201820304004
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Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/22550/13/SVM-based%20geospatial%20prediction.pdf
http://umpir.ump.edu.my/id/eprint/22550/
https://doi.org/10.1051/matecconf/201820304004

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