Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment

Wildfires could have a strong impact on tundra environment by combusting surface vegetation and soil organic matter. For surface vegetation, many years are required to recover to pre-fire level. In this paper, by using C-band (VV/HV polarization) and L-band (HH polarization) synthetic aperture radar...

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Published in:Remote Sensing
Main Authors: Zhiwei Zhou, Lin Liu, Liming Jiang, Wanpeng Feng, Sergey V. Samsonov
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Q
Online Access:https://doi.org/10.3390/rs11192230
https://doaj.org/article/90e633267ab04f6da0dcdf17eef273e5
id ftdoajarticles:oai:doaj.org/article:90e633267ab04f6da0dcdf17eef273e5
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spelling ftdoajarticles:oai:doaj.org/article:90e633267ab04f6da0dcdf17eef273e5 2023-05-15T14:54:20+02:00 Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment Zhiwei Zhou Lin Liu Liming Jiang Wanpeng Feng Sergey V. Samsonov 2019-09-01T00:00:00Z https://doi.org/10.3390/rs11192230 https://doaj.org/article/90e633267ab04f6da0dcdf17eef273e5 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/19/2230 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11192230 https://doaj.org/article/90e633267ab04f6da0dcdf17eef273e5 Remote Sensing, Vol 11, Iss 19, p 2230 (2019) arctic tundra fire vegetation recovery c- and l-band sar sar backscatter Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11192230 2022-12-30T20:28:42Z Wildfires could have a strong impact on tundra environment by combusting surface vegetation and soil organic matter. For surface vegetation, many years are required to recover to pre-fire level. In this paper, by using C-band (VV/HV polarization) and L-band (HH polarization) synthetic aperture radar (SAR) images acquired before and after fire from 2002 to 2016, we investigated vegetation change affected by the Anaktuvuk River Fire in Arctic tundra environment. Compared to the unburned areas, C- and L-band SAR backscatter coefficients increased by up to 5.5 and 4.4 dB in the severely burned areas after the fire. Then past 5 years following the fire, the C-band SAR backscatter differences decreased to pre-fire level between the burned and unburned areas, suggesting that vegetation coverage in burned sites had recovered to the unburned level. This duration is longer than the 3-year recovery suggested by optical-based Normalized Difference Vegetation Index (NDVI) observations. While for the L-band SAR backscatter after 10-year recovery, about 2 dB higher was still found in the severely burned area, compared to the unburned area. The increased roughness of the surface is probably the reason for such sustained differences. Our analysis implies that long records of space-borne SAR backscatter can monitor post-fire vegetation recovery in Arctic tundra environment and complement optical observations. Article in Journal/Newspaper Arctic Tundra Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 11 19 2230
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic arctic tundra fire
vegetation recovery
c- and l-band sar
sar backscatter
Science
Q
spellingShingle arctic tundra fire
vegetation recovery
c- and l-band sar
sar backscatter
Science
Q
Zhiwei Zhou
Lin Liu
Liming Jiang
Wanpeng Feng
Sergey V. Samsonov
Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
topic_facet arctic tundra fire
vegetation recovery
c- and l-band sar
sar backscatter
Science
Q
description Wildfires could have a strong impact on tundra environment by combusting surface vegetation and soil organic matter. For surface vegetation, many years are required to recover to pre-fire level. In this paper, by using C-band (VV/HV polarization) and L-band (HH polarization) synthetic aperture radar (SAR) images acquired before and after fire from 2002 to 2016, we investigated vegetation change affected by the Anaktuvuk River Fire in Arctic tundra environment. Compared to the unburned areas, C- and L-band SAR backscatter coefficients increased by up to 5.5 and 4.4 dB in the severely burned areas after the fire. Then past 5 years following the fire, the C-band SAR backscatter differences decreased to pre-fire level between the burned and unburned areas, suggesting that vegetation coverage in burned sites had recovered to the unburned level. This duration is longer than the 3-year recovery suggested by optical-based Normalized Difference Vegetation Index (NDVI) observations. While for the L-band SAR backscatter after 10-year recovery, about 2 dB higher was still found in the severely burned area, compared to the unburned area. The increased roughness of the surface is probably the reason for such sustained differences. Our analysis implies that long records of space-borne SAR backscatter can monitor post-fire vegetation recovery in Arctic tundra environment and complement optical observations.
format Article in Journal/Newspaper
author Zhiwei Zhou
Lin Liu
Liming Jiang
Wanpeng Feng
Sergey V. Samsonov
author_facet Zhiwei Zhou
Lin Liu
Liming Jiang
Wanpeng Feng
Sergey V. Samsonov
author_sort Zhiwei Zhou
title Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
title_short Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
title_full Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
title_fullStr Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
title_full_unstemmed Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
title_sort using long-term sar backscatter data to monitor post-fire vegetation recovery in tundra environment
publisher MDPI AG
publishDate 2019
url https://doi.org/10.3390/rs11192230
https://doaj.org/article/90e633267ab04f6da0dcdf17eef273e5
geographic Arctic
geographic_facet Arctic
genre Arctic
Tundra
genre_facet Arctic
Tundra
op_source Remote Sensing, Vol 11, Iss 19, p 2230 (2019)
op_relation https://www.mdpi.com/2072-4292/11/19/2230
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs11192230
https://doaj.org/article/90e633267ab04f6da0dcdf17eef273e5
op_doi https://doi.org/10.3390/rs11192230
container_title Remote Sensing
container_volume 11
container_issue 19
container_start_page 2230
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