4.7 Article

Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers

期刊

REMOTE SENSING
卷 8, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/rs8020122

关键词

sun-induced chlorophyll fluorescence (SIF); field spectroscopy; sensor characteristics; SIF retrieval methods; Fraunhofer line depth (FLD); spectral resolution; signal to noise ratio (SNR); SIF calibration; validation

资金

  1. FLEX-US Project, an ESA/NASA Joint Campaign for the Deployment of the Airborne HyPlant Imaging Spectrometer (ESA) [4000109199/13/NL/FF/lf]
  2. ESA
  3. NASA
  4. NERC [fsf010001, nceo020002] Funding Source: UKRI
  5. Natural Environment Research Council [nceo020002, fsf010001] Funding Source: researchfish

向作者/读者索取更多资源

Remote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplorer (FLEX) missionscheduled to launch in 2022 and aiming at SIF mappingand from the National Aeronautics and Space Administration (NASA) such as the Orbiting Carbon Observatory-2 (OCO-2) sampling mission launched in July 2014, provide the capability to estimate SIF from space. The detection of the SIF signal from airborne and satellite platform is difficult and reliable ground level data are needed for calibration/validation. Several commercially available spectroradiometers are currently used to retrieve SIF in the field. This study presents a comparison exercise for evaluating the capability of four spectroradiometers to retrieve SIF. The results show that an accurate far-red SIF estimation can be achieved using spectroradiometers with an ultrafine resolution (less than 1 nm), while the red SIF estimation requires even higher spectral resolution (less than 0.5 nm). Moreover, it is shown that the Signal to Noise Ratio (SNR) plays a significant role in the precision of the far-red SIF measurements.

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