Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using Machine Learning and Feature Selection Approaches in Arid Regions

Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using Machine Learning and Feature Selection Approaches in Arid Regions

The prevention of soil salinization and managing agricultural irrigation depend greatly on accurately estimating soil salinity. Although the long-standing laboratory method of measuring salinity composition is accurate for determining soil salinity parameters, its use is frequently constrained by th...

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Bibliographic Details
Main Authors: Sayed A. Mohamed, Mohamed M. Metwaly, Mohamed R. Metwalli, Mohamed A. E. AbdelRahman, Nasem Badreldin
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
machine learning
feature selection
soil salinity
arid regions
Online Access:https://www.mdpi.com/2072-4292/15/7/1751

Internet

https://www.mdpi.com/2072-4292/15/7/1751

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