• DocumentCode
    743680
  • Title

    Simplified Physically Based Retrieval of Sun-Induced Chlorophyll Fluorescence From GOSAT Data

  • Author

    Kohler, Philipp ; Guanter, Luis ; Frankenberg, Christian

  • Author_Institution
    Dept. of Geodesy & Remote Sensing, German Centre for Geosci. (GFZ), Potsdam, Germany
  • Volume
    12
  • Issue
    7
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1446
  • Lastpage
    1450
  • Abstract
    First global retrievals of sun-induced chlorophyll fluorescence (F8) have been achieved in the last years by using data from the Fourier transform spectrometer (FTS) onboard the Japanese Greenhouse Gases Observing Satellite (GOSAT). The high spectral resolution (approximately 0.025 nm) of the FTS enables measurements of F8 by the evaluation of the in-filling of solar Fraunhofer lines around 755 nm. This study presents a new F8 retrieval algorithm (GARLiC, for GOSAT retrieval of chlorophyll fluorescence) and compares its results to F8 from two previously implemented approaches. GARLiC is intended to simplify some of the assumptions of existing retrieval approaches without a loss in retrieval accuracy. We show that GARLiC F8 retrievals are comparable to the previously used methods. We also assess the effect of clouds on F8 retrieval from GOSAT data through the analysis of the effect of different cloud filter thresholds on F8 time series. Our results show a low sensitivity of Fraunhofer-line-based F8 retrievals to cloud contamination.
  • Keywords
    atmospheric radiation; clouds; Fourier transform spectrometer; Fraunhofer-line-based retrievals; GOSAT data; Japanese Greenhouse Gases Observing Satellite; cloud contamination; cloud filter thresholds; high spectral resolution; retrieval accuracy; solar Fraunhofer lines; sun-induced chlorophyll fluorescence retrieval algorithm; time series; Clouds; Extraterrestrial measurements; Noise; Pollution measurement; Remote sensing; Satellites; Standards; Biosphere; environmental monitoring; geophysical measurement techniques; remote sensing; spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2407051
  • Filename
    7056459