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: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:https://doi.org/10.3390/rs11192230
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/19/2230/ 2023-08-20T04:04:06+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 agris 2019-09-25 application/pdf https://doi.org/10.3390/rs11192230 EN eng Multidisciplinary Digital Publishing Institute Forest Remote Sensing https://dx.doi.org/10.3390/rs11192230 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 19; Pages: 2230 arctic tundra fire vegetation recovery C- and L-band SAR SAR backscatter Text 2019 ftmdpi https://doi.org/10.3390/rs11192230 2023-07-31T22:38:24Z 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. Text Arctic Tundra MDPI Open Access Publishing Arctic Remote Sensing 11 19 2230
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic arctic tundra fire
vegetation recovery
C- and L-band SAR
SAR backscatter
spellingShingle arctic tundra fire
vegetation recovery
C- and L-band SAR
SAR backscatter
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/rs11192230
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
Tundra
genre_facet Arctic
Tundra
op_source Remote Sensing; Volume 11; Issue 19; Pages: 2230
op_relation Forest Remote Sensing
https://dx.doi.org/10.3390/rs11192230
op_rights https://creativecommons.org/licenses/by/4.0/
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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