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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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Wedi'i Gadw mewn:
Prif Awduron: Mojgan Ahmadi, Hadi Ramezani Etedali, Abbass Kaviani, Alireza Tavakoli
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: SpringerOpen 2025-07-01
Cyfres:Applied Water Science
Pynciau:
Support vector regression
Random forest
Multivariate regression
Green water footprint of rainfed wheat
Mynediad Ar-lein:https://doi.org/10.1007/s13201-025-02542-x
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