Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis
The analysis of wildfire impacts at the scale of less than a square kilometer can reveal important patterns of vegetation recovery and regrowth in freshwater Arctic and boreal regions. For this study, NASA Landsat burned area products since the year 2000, and a near 20-year record of vegetation gree...
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ftdoajarticles:oai:doaj.org/article:c48813f4a4194a29a46f45204dc49eb9 2023-05-15T15:09:23+02:00 Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis Christopher Potter 2018-09-01T00:00:00Z https://doi.org/10.3390/rs10091456 https://doaj.org/article/c48813f4a4194a29a46f45204dc49eb9 EN eng MDPI AG http://www.mdpi.com/2072-4292/10/9/1456 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10091456 https://doaj.org/article/c48813f4a4194a29a46f45204dc49eb9 Remote Sensing, Vol 10, Iss 9, p 1456 (2018) wildfire wetlands elevation MODIS Landsat Alaska Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10091456 2022-12-31T15:20:00Z The analysis of wildfire impacts at the scale of less than a square kilometer can reveal important patterns of vegetation recovery and regrowth in freshwater Arctic and boreal regions. For this study, NASA Landsat burned area products since the year 2000, and a near 20-year record of vegetation green cover from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite sensor were combined to reconstruct the recovery rates and seasonal profiles of burned wetland ecosystems in Alaska. Region-wide breakpoint analysis results showed that significant structural change could be detected in the 250-m normalized difference vegetation index (NDVI) time series for the vast majority of wetland locations in the major Yukon river drainages of interior Alaska that had burned at high severity since the year 2001. Additional comparisons showed that wetland cover locations across Alaska that have burned at high severity subsequently recovered their green cover seasonal profiles to relatively stable pre-fire levels in less than 10 years. Negative changes in the MODIS NDVI, namely lower greenness in 2017 than pre-fire and incomplete greenness recovery, were more commonly detected in burned wetland areas after 2013. In the years prior to 2013, the NDVI change tended to be positive (higher greenness in 2017 than pre-fire) at burned wetland elevations lower than 400 m, whereas burned wetland locations at higher elevation showed relatively few positive greenness recovery changes by 2017. Article in Journal/Newspaper Arctic Yukon river Alaska Yukon Directory of Open Access Journals: DOAJ Articles Arctic Yukon Remote Sensing 10 9 1456 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
wildfire wetlands elevation MODIS Landsat Alaska Science Q |
spellingShingle |
wildfire wetlands elevation MODIS Landsat Alaska Science Q Christopher Potter Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
topic_facet |
wildfire wetlands elevation MODIS Landsat Alaska Science Q |
description |
The analysis of wildfire impacts at the scale of less than a square kilometer can reveal important patterns of vegetation recovery and regrowth in freshwater Arctic and boreal regions. For this study, NASA Landsat burned area products since the year 2000, and a near 20-year record of vegetation green cover from the MODIS (Moderate Resolution Imaging Spectroradiometer) satellite sensor were combined to reconstruct the recovery rates and seasonal profiles of burned wetland ecosystems in Alaska. Region-wide breakpoint analysis results showed that significant structural change could be detected in the 250-m normalized difference vegetation index (NDVI) time series for the vast majority of wetland locations in the major Yukon river drainages of interior Alaska that had burned at high severity since the year 2001. Additional comparisons showed that wetland cover locations across Alaska that have burned at high severity subsequently recovered their green cover seasonal profiles to relatively stable pre-fire levels in less than 10 years. Negative changes in the MODIS NDVI, namely lower greenness in 2017 than pre-fire and incomplete greenness recovery, were more commonly detected in burned wetland areas after 2013. In the years prior to 2013, the NDVI change tended to be positive (higher greenness in 2017 than pre-fire) at burned wetland elevations lower than 400 m, whereas burned wetland locations at higher elevation showed relatively few positive greenness recovery changes by 2017. |
format |
Article in Journal/Newspaper |
author |
Christopher Potter |
author_facet |
Christopher Potter |
author_sort |
Christopher Potter |
title |
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
title_short |
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
title_full |
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
title_fullStr |
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
title_full_unstemmed |
Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis |
title_sort |
recovery rates of wetland vegetation greenness in severely burned ecosystems of alaska derived from satellite image analysis |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10091456 https://doaj.org/article/c48813f4a4194a29a46f45204dc49eb9 |
geographic |
Arctic Yukon |
geographic_facet |
Arctic Yukon |
genre |
Arctic Yukon river Alaska Yukon |
genre_facet |
Arctic Yukon river Alaska Yukon |
op_source |
Remote Sensing, Vol 10, Iss 9, p 1456 (2018) |
op_relation |
http://www.mdpi.com/2072-4292/10/9/1456 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10091456 https://doaj.org/article/c48813f4a4194a29a46f45204dc49eb9 |
op_doi |
https://doi.org/10.3390/rs10091456 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
9 |
container_start_page |
1456 |
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1766340583887994880 |