文献类型：期刊文献

英文题名：Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence

作者：Fu, Dongjie[1];Su, Fenzhen[1];Wang, Juan[2];Sui, Yijie[1]

第一作者：Fu, Dongjie

通讯作者：Su, FZ[1]

机构：[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

第一机构：Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.

年份：2019

卷号：11

期号：12

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20192707133068);Scopus(收录号：2-s2.0-85068127062);WOS:【SCI-EXPANDED(收录号:WOS:000473794600066)】；

基金：This study was supported by National Key R&D Program (No. 2016YFC1402701). Research grants (41501473) were funded by the National Natural Science Foundation of China, the Youth Science Funds of State Key Laboratory of Resources and Environmental Information System (O8R8A080YA), and the Chinese Academy of Sciences. Research grants (Y6V60206YZ) were funded by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.

语种：英文

外文关键词：Arctic tundra; solar-induced fluorescence data; greenness

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.