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TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau

文献类型：期刊论文

作者Yang, Jilin8; Xiao, Xiangming7; Doughty, Russell7; Zhao, Miaomiao1,6; Zhang, Yao5; Kohler, Philipp2; Wu, Xiaocui4; Frankenberg, Christian2,3; Dong, Jinwei8
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2022-10-01
卷号280页码:17
ISSN号0034-4257
关键词Phenology Photosynthesis Gross primary production Solar -induced chlorophyll fluorescence TROPOMI Vegetation indices Tibetan plateau
DOI10.1016/j.rse.2022.113209
通讯作者Xiao, Xiangming(xiangming.xiao@ou.edu) ; Dong, Jinwei(dongjw@igsnrr.ac.cn)
英文摘要Large-scale land surface phenology (LSP) information has been developed from remote sensing-based vegetation indices (VIs) data. However, there are considerable discrepancies and uncertainties in the LSP data products for the start and end of growing seasons (SOS; EOS) as different vegetation indices and algorithms are used. Here, we used the TROPOspheric Monitoring Instrument (TROPOMI) solar-induced chlorophyll fluorescence (SIF) data to estimate SOS and EOS in the Tibetan Plateau, a global hotspot of vegetation response to climate change. We compared SIF-based phenological metrics to those derived from VIs (e.g., normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and near-infrared reflectance of vegetation (NIRv)), and gross primary production (GPP) simulated by the vegetation photosynthesis model (VPM). We found relatively small dis-crepancies in SOS between SIF and VIs, but large differences in EOS. Thus, the length of the growing season derived from VIs was as much as two months longer than that estimated by SIF. These results were consistent across three products, bidirectional reflectance distribution function (BRDF) adjusted (MCD43), standard MODIS (MOD09), and TROPOMI products. The EOS discrepancy remained after excluding two mismatches (solar illu-mination and viewing angle) between satellite sensors. We also found that VIs-based EOS occurred below the freezing point, while SIF-based EOS occurred above the freezing point, suggesting that SIF-based EOS is more physiologically meaningful. Our study proposed that the late VIs-based EOS was caused in part by the effect of changes in soil background on VIs and VIs-based EOS. Our results highlight the need to re-evaluate current LSP data products derived from reflectance-based VIs and to develop new vegetation phenology data products using emitted energy such as SIF.
WOS关键词INDUCED CHLOROPHYLL FLUORESCENCE ; GROSS PRIMARY PRODUCTION ; NET PRIMARY PRODUCTIVITY ; LAND-SURFACE PHENOLOGY ; GREEN-UP DATES ; SPRING PHENOLOGY ; CLIMATE-CHANGE ; SENTINEL-5 PRECURSOR ; SNOW-COVER ; PHOTOSYNTHESIS
资助项目National Key Research and Development Program of China[2018YFA0606100] ; Chinese Academy of Sciences (CAS)[QYZDB-SSW-DQC005] ; Chinese Academy of Sciences (CAS) ; U.S. National Science Foundation[1911955] ; NOVELTIS under the European Space Agency (ESA)[4000127461/19/I -NS] ; China Scholarship Council ; Strategic Priority Research Program[XDA26010202]
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000861388300005
资助机构National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; U.S. National Science Foundation ; NOVELTIS under the European Space Agency (ESA) ; China Scholarship Council ; Strategic Priority Research Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/185374]  
专题中国科学院地理科学与资源研究所
通讯作者Xiao, Xiangming; Dong, Jinwei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91226 USA
3.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
4.Univ Illinois, Inst Sustainabil Energy & Environm, Agroecosyst Sustainabil Ctr, Urbana, IL 61801 USA
5.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing 100101, Peoples R China
6.Minist Ecol & Environm, Informat Ctr, Beijing 100029, Peoples R China
7.Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
8.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Jilin,Xiao, Xiangming,Doughty, Russell,et al. TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau[J]. REMOTE SENSING OF ENVIRONMENT,2022,280:17.
APA Yang, Jilin.,Xiao, Xiangming.,Doughty, Russell.,Zhao, Miaomiao.,Zhang, Yao.,...&Dong, Jinwei.(2022).TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau.REMOTE SENSING OF ENVIRONMENT,280,17.
MLA Yang, Jilin,et al."TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau".REMOTE SENSING OF ENVIRONMENT 280(2022):17.

入库方式： OAI收割

来源：地理科学与资源研究所

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