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Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence
Fu, Dongjie1; Su, Fenzhen1; Wang, Juan2; Sui, Yijie1
2019-06-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:12Pages:12
Corresponding AuthorSu, Fenzhen(sufz@lreis.ac.cn)
AbstractA general greening trend in the Arctic tundra biome has been indicated by satellite remote sensing data over recent decades. However, since 2011, there have been signs of browning trends in many parts of the region. Previous research on tundra greenness across the Arctic region has relied on the satellite-derived normalized difference vegetation index (NDVI). In this research, we initially used spatially downscaled solar-induced fluorescence (SIF) data to analyze the spatiotemporal variation of Arctic tundra greenness (2007-2013). The results derived from the SIF data were also compared with those from two NDVIs (the Global Inventory Modeling and Mapping Studies NDVI3g and MOD13Q1 NDVI), and the eddy-covariance (EC) observed gross primary production (GPP). It was found that most parts of the Arctic tundra below 75 degrees N were browning (-0.0098 mW/m(2)/sr/nm/year, where sr is steradian and nm is nanometer) using SIF, whereas spatially and temporally heterogeneous trends (greening or browning) were obtained based on the two NDVI products. This research has further demonstrated that SIF data can provide an alternative direct proxy for Arctic tundra greenness.
KeywordArctic tundra solar-induced fluorescence data greenness
DOI10.3390/rs11121460
WOS KeywordINDUCED CHLOROPHYLL FLUORESCENCE ; VEGETATION GREENING TRENDS ; PHOTOSYNTHESIS ; REFLECTANCE ; PERMAFROST ; CLIMATE ; ALASKA ; GROWTH ; LATITUDES ; RADIATION
Indexed BySCI
Language英语
Funding ProjectNational Key RD Program[2016YFC1402701] ; National Natural Science Foundation of China[41501473] ; State Key Laboratory of Resources and Environmental Information System[O8R8A080YA] ; Chinese Academy of Sciences ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[Y6V60206YZ]
Funding OrganizationNational Key RD Program ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Chinese Academy of Sciences ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000473794600066
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58448
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Fenzhen
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Beijing Union Univ, Urban Sci Dept, Coll Appl Arts & Sci, Beijing 100191, Peoples R China
Recommended Citation
GB/T 7714
Fu, Dongjie,Su, Fenzhen,Wang, Juan,et al. Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence[J]. REMOTE SENSING,2019,11(12):12.
APA Fu, Dongjie,Su, Fenzhen,Wang, Juan,&Sui, Yijie.(2019).Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence.REMOTE SENSING,11(12),12.
MLA Fu, Dongjie,et al."Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence".REMOTE SENSING 11.12(2019):12.
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