Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence

doi:10.3390/rs11121460

	Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence
	Fu, Dongjie 1; Su, Fenzhen 1; Wang, Juan 2; Sui, Yijie 1
刊名	REMOTE SENSING
	2019-06-02
卷号	11 期号:12 页码:12
关键词	Arctic tundra solar-induced fluorescence data greenness
ISSN号	2072-4292
DOI	10.3390/rs11121460
通讯作者	Su, Fenzhen(sufz@lreis.ac.cn)
英文摘要	A 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.
资助项目	National 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]
WOS关键词	INDUCED CHLOROPHYLL FLUORESCENCE ; VEGETATION GREENING TRENDS ; PHOTOSYNTHESIS ; REFLECTANCE ; PERMAFROST ; CLIMATE ; ALASKA ; GROWTH ; LATITUDES ; RADIATION
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000473794600066
资助机构	National 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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/58447]
专题	中国科学院地理科学与资源研究所
通讯作者	Su, Fenzhen
作者单位	1.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
推荐引用方式 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.