Improving Winter Wheat Yield Estimation Under Saline Stress by Integrating Sentinel-2 and Soil Salt Content Using Random Forest

Improving Winter Wheat Yield Estimation Under Saline Stress by Integrating Sentinel-2 and Soil Salt Content Using Random Forest

Accurate estimation of winter wheat yield under saline stress is crucial for addressing food security challenges and optimizing agricultural management in regional soils. This study proposed a method integrating Sentinel-2 data and field-measured soil salt content (SC) using a random forest (RF) met...

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Bibliographic Details
Main Authors: Chuang Lu, Maowei Yang, Shiwei Dong, Yu Liu, Yinkun Li, Yuchun Pan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Agriculture
Subjects:
yield estimation
saline stress
growth period
vegetation index
salt index
random forest
Online Access:https://www.mdpi.com/2077-0472/15/14/1544
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