Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle

Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle

The canopy chlorophyll content (CCC) and leaf area index (LAI) are both essential indicators for crop growth monitoring and yield estimation. The PROSAIL model, which couples the properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAIL) radiative tran...

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Bibliographic Details
Main Authors: Qi Sun, Quanjun Jiao, Xidong Chen, Huimin Xing, Wenjiang Huang, Bing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
crop chlorophyll
crop LAI
PROSAIL
average leaf angle
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/9/2264

Internet

https://www.mdpi.com/2072-4292/15/9/2264

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