Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models

Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models

Climate change, uneven distribution of water resources and anthropogenic impact have led to salinization and land degradation in the southern regions of Kazakhstan. Identification of saline lands and their mapping is a laborious process associated with a complex of ground measurements. Data from rem...

Full description

Bibliographic Details
Main Authors: Ravil I. Mukhamediev, Timur Merembayev, Yan Kuchin, Dmitry Malakhov, Elena Zaitseva, Vitaly Levashenko, Yelena Popova, Adilkhan Symagulov, Gulshat Sagatdinova, Yedilkhan Amirgaliyev
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
soil salinity
synthetic aperture radar
machine learning
regression
XGBoost
LightGBM
Online Access:https://www.mdpi.com/2072-4292/15/17/4269

Internet

https://www.mdpi.com/2072-4292/15/17/4269

Similar Items