Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel-2 in Turkmenistan

Desertification Monitoring Using Machine Learning Techniques with Multiple Indicators Derived from Sentinel-2 in Turkmenistan

This research offers a fresh understanding of desertification in Turkmenistan by utilizing satellite remote sensing data and machine learning techniques. With 80% of its area covered by desert, Turkmenistan has particular difficulties as a result of the harsh effects of desertification, which are ma...

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Bibliographic Details
Main Authors: Arslan Berdyyev, Yousef A. Al-Masnay, Mukhiddin Juliev, Jilili Abuduwaili
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Turkmenistan
Google Earth Engine
remote sensing
machine learning
KNN
RF
Online Access:https://www.mdpi.com/2072-4292/16/23/4525
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