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
类别
资金
- FLEX-US Project, an ESA/NASA Joint Campaign for the Deployment of the Airborne HyPlant Imaging Spectrometer (ESA) [4000109199/13/NL/FF/lf]
- ESA
- NASA
- NERC [fsf010001, nceo020002] Funding Source: UKRI
- Natural Environment Research Council [nceo020002, fsf010001] Funding Source: researchfish
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据