Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images

Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images

Accurate estimation of the leaf or canopy chlorophyll content is crucial for monitoring crop growth conditions. Remote sensing monitoring of crop chlorophyll is a non-destructive, large-area, and real-time method that requires reliable retrieval models and satellite data. High-resolution satellite i...

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Bibliographic Details
Main Authors: Anting Guo, Huichun Ye, Guoqing Li, Bing Zhang, Wenjiang Huang, Quanjun Jiao, Binxiang Qian, Peilei Luo
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
maize
chlorophyll content
hybrid model
PROSAIL
GPR
Sentinel 2
Online Access:https://www.mdpi.com/2072-4292/15/7/1784

Internet

https://www.mdpi.com/2072-4292/15/7/1784

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