Optimizing the Empirical Parameters of the Data-Driven Algorithm for SIF Retrieval for SIFIS Onboard TECIS-1 Satellite

Optimizing the Empirical Parameters of the Data-Driven Algorithm for SIF Retrieval for SIFIS Onboard TECIS-1 Satellite

Space-based solar-induced chlorophyll fluorescence (SIF) has been widely demonstrated as a great proxy for monitoring terrestrial photosynthesis and has been successfully retrieved from satellite-based hyperspectral observations using a data-driven algorithm. As a semi-empirical algorithm, the data-...

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Bibliographic Details
Main Authors:	Chu Zou, Shanshan Du, Xinjie Liu, Liangyun Liu, Yuyang Wang, Zhen Li
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Sensors
Subjects:	solar-induced chlorophyll fluorescence (SIF) data-driven algorithm Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1) parameter optimization
Online Access:	https://www.mdpi.com/1424-8220/21/10/3482

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