Open Access

Downloads

Download data is not yet available.

Abstract

This paper introduces the solution for Dalat city’s soil erosion mapping using the integration of GIS, Remote Sensing and the Universal Soil Loss Equation (USLE). Each of the USLE factors with associated attribute data are dicussed and the soil erosion parameters were selected and encoded in a GIS database to produce thematic layers. The result demonstrates the soil erosion map that indicates the potential annual soil loss located in each area of land. This map is used to confirm the severe level of soil erosion risk need immediate attention from soil conservation point of view.



Author's Affiliation
Article Details

Issue: Vol 19 No 2 (2016)
Page No.: 46-54
Published: Jun 30, 2016
Section: Sciences of Earth and Environment - Research article
DOI: https://doi.org/10.32508/stdj.v19i2.700

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Le, T., Nguyen, H., & Nguyen, A. (2016). GIS and Remote Sensing solution for Dalat city’s soil erosion mapping. Science and Technology Development Journal, 19(2), 46-54. https://doi.org/https://doi.org/10.32508/stdj.v19i2.700

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1681 times
Download PDF   = 877 times
Total   = 877 times