Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ...
The circumpolar arctic tundra, located at Earth’s highest latitudes, is extremely sensitive to climate warming. Studies on arctic greening, based on satellite data and field measurements, show discrepancies due to differences in spatial resolution across datasets (e.g., Landsat 30-m, MODIS 250-m, an...
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2024
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Online Access: | https://dx.doi.org/10.6084/m9.figshare.25428230 https://tandf.figshare.com/articles/journal_contribution/Comparative_evaluation_of_vegetation_greenness_trends_over_circumpolar_Arctic_tundra_using_multi-sensors_satellite_datasets/25428230 |
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ftdatacite:10.6084/m9.figshare.25428230 2024-04-28T08:05:34+00:00 Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... Liu, Caixia Huang, Huabing Liu, Chong Wang, Xiaoyi Wang, Shaohua 2024 https://dx.doi.org/10.6084/m9.figshare.25428230 https://tandf.figshare.com/articles/journal_contribution/Comparative_evaluation_of_vegetation_greenness_trends_over_circumpolar_Arctic_tundra_using_multi-sensors_satellite_datasets/25428230 unknown Taylor & Francis https://dx.doi.org/10.1080/17538947.2024.2328823 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Biotechnology Ecology FOS Biological sciences Biological Sciences not elsewhere classified Information Systems not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology Journal contribution article-journal Text ScholarlyArticle 2024 ftdatacite https://doi.org/10.6084/m9.figshare.2542823010.1080/17538947.2024.2328823 2024-04-02T11:40:25Z The circumpolar arctic tundra, located at Earth’s highest latitudes, is extremely sensitive to climate warming. Studies on arctic greening, based on satellite data and field measurements, show discrepancies due to differences in spatial resolution across datasets (e.g., Landsat 30-m, MODIS 250-m, and AVHRR GIMMS 8 km). Research on scale effects has been limited, mostly focusing on small areas rather than the entire 7.11 million km² arctic tundra. Our study addresses this by mapping scale effects across the entire tundra using Normalized Difference Vegetation Index (NDVI) measurements. Findings reveal: (1) Landsat data provides detailed spatial trends, identifying 18.7% of the area as significantly greening, whereas GIMMS data detects more browning due to spectral mixing; (2) GIMMS underestimates the greening to browning ratio at 2.2:1, compared to Landsat and MODIS ratios of 14.1:1 and 15.1:1, respectively; (3) Over 93% agreement exists between Landsat and MODIS or GIMMS trends, with discrepancies in limited ... Text Arctic Greening Arctic Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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topic |
Biotechnology Ecology FOS Biological sciences Biological Sciences not elsewhere classified Information Systems not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology |
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Biotechnology Ecology FOS Biological sciences Biological Sciences not elsewhere classified Information Systems not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology Liu, Caixia Huang, Huabing Liu, Chong Wang, Xiaoyi Wang, Shaohua Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
topic_facet |
Biotechnology Ecology FOS Biological sciences Biological Sciences not elsewhere classified Information Systems not elsewhere classified Inorganic Chemistry FOS Chemical sciences Plant Biology |
description |
The circumpolar arctic tundra, located at Earth’s highest latitudes, is extremely sensitive to climate warming. Studies on arctic greening, based on satellite data and field measurements, show discrepancies due to differences in spatial resolution across datasets (e.g., Landsat 30-m, MODIS 250-m, and AVHRR GIMMS 8 km). Research on scale effects has been limited, mostly focusing on small areas rather than the entire 7.11 million km² arctic tundra. Our study addresses this by mapping scale effects across the entire tundra using Normalized Difference Vegetation Index (NDVI) measurements. Findings reveal: (1) Landsat data provides detailed spatial trends, identifying 18.7% of the area as significantly greening, whereas GIMMS data detects more browning due to spectral mixing; (2) GIMMS underestimates the greening to browning ratio at 2.2:1, compared to Landsat and MODIS ratios of 14.1:1 and 15.1:1, respectively; (3) Over 93% agreement exists between Landsat and MODIS or GIMMS trends, with discrepancies in limited ... |
format |
Text |
author |
Liu, Caixia Huang, Huabing Liu, Chong Wang, Xiaoyi Wang, Shaohua |
author_facet |
Liu, Caixia Huang, Huabing Liu, Chong Wang, Xiaoyi Wang, Shaohua |
author_sort |
Liu, Caixia |
title |
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
title_short |
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
title_full |
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
title_fullStr |
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
title_full_unstemmed |
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets ... |
title_sort |
comparative evaluation of vegetation greenness trends over circumpolar arctic tundra using multi-sensors satellite datasets ... |
publisher |
Taylor & Francis |
publishDate |
2024 |
url |
https://dx.doi.org/10.6084/m9.figshare.25428230 https://tandf.figshare.com/articles/journal_contribution/Comparative_evaluation_of_vegetation_greenness_trends_over_circumpolar_Arctic_tundra_using_multi-sensors_satellite_datasets/25428230 |
genre |
Arctic Greening Arctic Tundra |
genre_facet |
Arctic Greening Arctic Tundra |
op_relation |
https://dx.doi.org/10.1080/17538947.2024.2328823 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.2542823010.1080/17538947.2024.2328823 |
_version_ |
1797575525838880768 |