Application of the Reconstructed Solar-Induced Chlorophyll Fluorescence by Machine Learning in Agricultural Drought Monitoring of Henan Province, China from 2010 to 2022

Application of the Reconstructed Solar-Induced Chlorophyll Fluorescence by Machine Learning in Agricultural Drought Monitoring of Henan Province, China from 2010 to 2022

Solar-induced chlorophyll fluorescence (SIF) serves as a proxy indicator for vegetation photosynthesis and can directly reflect the growth status of vegetation. Using SIF for drought monitoring offers greater potential compared to traditional vegetation indices. This study aims to develop and valida...

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Bibliographic Details
Main Authors: Guosheng Cai, Xiaoping Lu, Xiangjun Zhang, Guoqing Li, Haikun Yu, Zhengfang Lou, Jinrui Fan, Yushi Zhou
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Agronomy
Subjects:
TROPOSIF
downscaling
surface temperature difference
iTFDI
drought monitoring
Online Access:https://www.mdpi.com/2073-4395/14/9/1941

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https://www.mdpi.com/2073-4395/14/9/1941

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