Soil erosion prediction based on land cover dynamics at the Semenyih watershed in Malaysia using LTM and USLE models
This study attempts to identify and forecast future land cover (LC) by using the Land Transformation Model (LTM), which considers pixel changes in the past and makes predictions using influential spatial features. LTM applies the Artificial Neural Networks algorithm) in conducting the analysis. In l...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53842/1/Soil%20erosion%20prediction%20based%20on%20land%20cover%20dynamics%20at%20the%20Semenyih%20watershed%20.pdf |
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