Abstract

As a new remote sensing monitoring information, sun-induced chlorophyll fluorescence (SIF) has been widely used in the detection of changes in vegetation state at global and regional scales in recent years. SIF study in agricultural field has quickly become a research hotspot. TanSat is a global scientific experiment satellite for carbon dioxide monitoring launched in December 2016 with SIF monitoring capability. This paper aims to retrieve SIF based on a simplified physical model using TanSat data. The KI Fraunhofer Line at 770.1 nm was selected, which is less affected by the atmosphere. L1B-level data of TanSat was used to extract SIF of southeast China in July 2017. We used cloud mask products from MODIS data at the same period to eliminate cloud-affected areas and obtain SIF under clear sky conditions. The SIF value of our retrieval result is between −2 mW.m−2. sr−1. nm−1 and 5 mW. m−2. sr−1. nm−1. Comparing the result with SIF products showed that there is an encouraging consistency between them. This indicated that the inversion algorithm based on the simplified physical model can be used to retrieve SIF from TanSat data.

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