NDLI: Effects of spectral resolution and SNR on the vegetation solar-induced fluorescence retrieval using FLD-based methods at canopy level

Content Provider	Taylor & Francis Online
Author	Liu, Liangyun Liu, Xinjie Hu, Jiaochan
Abstract	The accuracy of solar-induced chlorophyll fluorescence (SIF) retrieval is dependent on the specifications of the sensor used. Here, we present a quantitative accuracy assessment of the SIF retrieval for different spectral resolution (SR) and signal-to-noise ratio (SNR) at five potential bands (Hα, O2-B, Fe, O2-A, and KI). Firstly, the sensitivities of the SIF retrieval to the correction factors in the FLD algorithm or the radiance noise increased rapidly when the SR decreased, especially for the O2-B band. Then, the dominant factor influencing the SIF retrieval was the SNR for the narrow bands, while was the SR for the broad band. Finally. the accuracy assessment of the SIF retrieval for the potential space-based hyperspectral sensors, including GOSAT TANSO-FTS, SCIAMACHY, OCO-2, Metop GOME-2, and FLEX FLORIS, showed a large error (>35%) for GOSAT, and relative small errors from 5% to 20% for other sensors.
Starting Page	743
Ending Page	762
Page Count	20
File Format	PDF HTM / HTML
ISSN	22797254
DOI	10.5721/EuJRS20154841
Journal	European Journal of Remote Sensing
Volume Number	48
Issue Number	1
Language	English
Publisher	Taylor & Francis
Publisher Date	2017-02-17
Access Restriction	Open
Subject Keyword	Solar-induced chlorophyll fluorescence (SIF) Fraunhofer Line Discrimination (FLD) Accuracy assessment Spectral resolution (SR) Signal-to-noise ratio (SNR)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Atmospheric Science Computers in Earth Sciences Environmental Science

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