Estimation of the yield and green water footprint of rainfed wheat based on remote sensing and machine learning

Estimation of the yield and green water footprint of rainfed wheat based on remote sensing and machine learning

Abstract In this research, the relationship between remote sensing drought indices NDVI, EVI, SAVI, and LAI with the yield and green water footprint (WF) of rainfed wheat in 5 fields in Saqqez City (2001–2020) was investigated using multivariate regression (MR), random forest (RF), and support vecto...

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Bibliographic Details
Main Authors: Mojgan Ahmadi, Hadi Ramezani Etedali, Abbass Kaviani, Alireza Tavakoli
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Applied Water Science
Subjects:
Support vector regression
Random forest
Multivariate regression
Green water footprint of rainfed wheat
Online Access:https://doi.org/10.1007/s13201-025-02542-x
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https://doi.org/10.1007/s13201-025-02542-x

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