Towards the Improvement of Soil Salinity Mapping in a Data-Scarce Context Using Sentinel-2 Images in Machine-Learning Models

Towards the Improvement of Soil Salinity Mapping in a Data-Scarce Context Using Sentinel-2 Images in Machine-Learning Models

Several recent studies have evidenced the relevance of machine-learning for soil salinity mapping using Sentinel-2 reflectance as input data and field soil salinity measurement (i.e., Electrical Conductivity-EC) as the target. As soil EC monitoring is costly and time consuming, most learning databas...

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Bibliographic Details
Main Authors: J. W. Sirpa-Poma, F. Satgé, E. Resongles, R. Pillco-Zolá, J. Molina-Carpio, M. G. Flores Colque, M. Ormachea, P. Pacheco Mollinedo, M.-P. Bonnet
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
Sentinel-2
machine-learning
soil salinity
data scarcity
Random-Forest
Support Vector Machine
Online Access:https://www.mdpi.com/1424-8220/23/23/9328

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