Soil Salinity Mapping Using Machine Learning in Google Earth Engine: Sentinel-2 Data

This tutorial demonstrates how to map soil salinity distribution using machine learning and sentinel-2 imagery in Google Earth Engine. The process is divided into three main steps:
1. Estimating Soil Salinity Distribution: Soil salinity was initially estimated using a spectral index derived from sentinel-2 data.
2. Training Data Collection: Training datasets were created based on the calculated soil salinity index to support the modeling process.
3. Mapping with Machine Learning: A machine learning algorithm was employed to produce a comprehensive map of soil salinity distribution.
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Видео Soil Salinity Mapping Using Machine Learning in Google Earth Engine: Sentinel-2 Data канала Satellite Remote Sensing and GIS