Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform

Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform

A lack of long-term soil wind erosion data impedes sustainable land management in developing regions, especially in Central Asia (CA). Compared with large-scale field measurements, wind erosion modeling based on geospatial data is an efficient and effective method for quantitative soil wind erosion...

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Bibliographic Details
Main Authors: Wei Wang, Alim Samat, Yongxiao Ge, Long Ma, Abula Tuheti, Shan Zou, Jilili Abuduwaili
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
wind erosion modeling
RWEQ
GEE
central Asia
spatial-temporal variation
land degradation
Online Access:https://www.mdpi.com/2072-4292/12/20/3430

Internet

https://www.mdpi.com/2072-4292/12/20/3430

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