Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence
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 sat...
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ftdoajarticles:oai:doaj.org/article:298a97b1f7e840ba8104ebec5898713c 2023-05-15T14:33:51+02:00 Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence Dongjie Fu Fenzhen Su Juan Wang Yijie Sui 2019-06-01T00:00:00Z https://doi.org/10.3390/rs11121460 https://doaj.org/article/298a97b1f7e840ba8104ebec5898713c EN eng MDPI AG https://www.mdpi.com/2072-4292/11/12/1460 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11121460 https://doaj.org/article/298a97b1f7e840ba8104ebec5898713c Remote Sensing, Vol 11, Iss 12, p 1460 (2019) Arctic tundra solar-induced fluorescence data greenness Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11121460 2022-12-31T16:11:05Z 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° 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. Article in Journal/Newspaper Arctic Tundra Directory of Open Access Journals: DOAJ Articles Arctic Browning ENVELOPE(164.050,164.050,-74.617,-74.617) Remote Sensing 11 12 1460 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic tundra solar-induced fluorescence data greenness Science Q |
spellingShingle |
Arctic tundra solar-induced fluorescence data greenness Science Q Dongjie Fu Fenzhen Su Juan Wang Yijie Sui Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
topic_facet |
Arctic tundra solar-induced fluorescence data greenness Science Q |
description |
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° 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. |
format |
Article in Journal/Newspaper |
author |
Dongjie Fu Fenzhen Su Juan Wang Yijie Sui |
author_facet |
Dongjie Fu Fenzhen Su Juan Wang Yijie Sui |
author_sort |
Dongjie Fu |
title |
Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
title_short |
Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
title_full |
Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
title_fullStr |
Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
title_full_unstemmed |
Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence |
title_sort |
patterns of arctic tundra greenness based on spatially downscaled solar-induced fluorescence |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11121460 https://doaj.org/article/298a97b1f7e840ba8104ebec5898713c |
long_lat |
ENVELOPE(164.050,164.050,-74.617,-74.617) |
geographic |
Arctic Browning |
geographic_facet |
Arctic Browning |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Remote Sensing, Vol 11, Iss 12, p 1460 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/12/1460 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11121460 https://doaj.org/article/298a97b1f7e840ba8104ebec5898713c |
op_doi |
https://doi.org/10.3390/rs11121460 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
12 |
container_start_page |
1460 |
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1766307026338578432 |