Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions

Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including rad...

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Published in:Remote Sensing
Main Authors: Elin Högström, Anna Maria Trofaier, Isabelle Gouttevin, Annett Bartsch
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2014
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs6098718
https://doaj.org/article/f4c3433723b24cb19cbcbb1e82bf85c4
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spelling ftdoajarticles:oai:doaj.org/article:f4c3433723b24cb19cbcbb1e82bf85c4 2023-05-15T15:00:41+02:00 Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions Elin Högström Anna Maria Trofaier Isabelle Gouttevin Annett Bartsch 2014-09-01T00:00:00Z https://doi.org/10.3390/rs6098718 https://doaj.org/article/f4c3433723b24cb19cbcbb1e82bf85c4 EN eng MDPI AG http://www.mdpi.com/2072-4292/6/9/8718 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6098718 https://doaj.org/article/f4c3433723b24cb19cbcbb1e82bf85c4 Remote Sensing, Vol 6, Iss 9, Pp 8718-8738 (2014) permafrost soil moisture Arctic high latitudes water bodies radar remote sensing land surface model Science Q article 2014 ftdoajarticles https://doi.org/10.3390/rs6098718 2022-12-31T16:27:47Z Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including radar retrieved soil moisture (SSM). It has been pointed out before that soil moisture retrieval from satellite data can be challenging at high latitudes, which correspond to remote areas where ground data are scarce and the applicability of satellite data of this type is essential. This study investigates backscatter variability other than associated with changing soil moisture in order to examine the possible impact on soil moisture retrieval. It focuses on issues specific to SSM retrieval in the Arctic, notably variations related to tundra lakes. ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS, 120 m) data are used to understand and quantify impacts on Metop (AAdvanced Scatterometer (ASCAT, 25 km) soil moisture retrieval during the snow free period. Sites of interest are chosen according to ASAR WS availability, high or low agreement between output from the land surface model ORCHIDEE and ASCAT derived SSM. Backscatter variations are analyzed with respect to the ASCAT footprint area. It can be shown that the low model agreement is related to water fraction in most cases. No difference could be detected between periods with floating ice (in snow off situation) and ice free periods at the chosen sites. The mean footprint backscatter is however impacted by partial short term surface roughness change. The water fraction correlates with backscatter deviations (relative to a smooth water surface reference image) within the ASCAT footprint areas (R = 0.91) Article in Journal/Newspaper Arctic Ice permafrost Tundra Directory of Open Access Journals: DOAJ Articles Arctic Asar ENVELOPE(134.033,134.033,68.667,68.667) Remote Sensing 6 9 8718 8738
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic permafrost
soil moisture
Arctic
high latitudes
water bodies
radar
remote sensing
land surface model
Science
Q
spellingShingle permafrost
soil moisture
Arctic
high latitudes
water bodies
radar
remote sensing
land surface model
Science
Q
Elin Högström
Anna Maria Trofaier
Isabelle Gouttevin
Annett Bartsch
Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
topic_facet permafrost
soil moisture
Arctic
high latitudes
water bodies
radar
remote sensing
land surface model
Science
Q
description Knowledge of surface hydrology is essential for many applications, including studies that aim to understand permafrost response to changing climate and the associated feedback mechanisms. Advanced remote sensing techniques make it possible to retrieve a range of land-surface variables, including radar retrieved soil moisture (SSM). It has been pointed out before that soil moisture retrieval from satellite data can be challenging at high latitudes, which correspond to remote areas where ground data are scarce and the applicability of satellite data of this type is essential. This study investigates backscatter variability other than associated with changing soil moisture in order to examine the possible impact on soil moisture retrieval. It focuses on issues specific to SSM retrieval in the Arctic, notably variations related to tundra lakes. ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath (WS, 120 m) data are used to understand and quantify impacts on Metop (AAdvanced Scatterometer (ASCAT, 25 km) soil moisture retrieval during the snow free period. Sites of interest are chosen according to ASAR WS availability, high or low agreement between output from the land surface model ORCHIDEE and ASCAT derived SSM. Backscatter variations are analyzed with respect to the ASCAT footprint area. It can be shown that the low model agreement is related to water fraction in most cases. No difference could be detected between periods with floating ice (in snow off situation) and ice free periods at the chosen sites. The mean footprint backscatter is however impacted by partial short term surface roughness change. The water fraction correlates with backscatter deviations (relative to a smooth water surface reference image) within the ASCAT footprint areas (R = 0.91)
format Article in Journal/Newspaper
author Elin Högström
Anna Maria Trofaier
Isabelle Gouttevin
Annett Bartsch
author_facet Elin Högström
Anna Maria Trofaier
Isabelle Gouttevin
Annett Bartsch
author_sort Elin Högström
title Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
title_short Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
title_full Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
title_fullStr Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
title_full_unstemmed Assessing Seasonal Backscatter Variations with Respect to Uncertainties in Soil Moisture Retrieval in Siberian Tundra Regions
title_sort assessing seasonal backscatter variations with respect to uncertainties in soil moisture retrieval in siberian tundra regions
publisher MDPI AG
publishDate 2014
url https://doi.org/10.3390/rs6098718
https://doaj.org/article/f4c3433723b24cb19cbcbb1e82bf85c4
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Arctic
Asar
geographic_facet Arctic
Asar
genre Arctic
Ice
permafrost
Tundra
genre_facet Arctic
Ice
permafrost
Tundra
op_source Remote Sensing, Vol 6, Iss 9, Pp 8718-8738 (2014)
op_relation http://www.mdpi.com/2072-4292/6/9/8718
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs6098718
https://doaj.org/article/f4c3433723b24cb19cbcbb1e82bf85c4
op_doi https://doi.org/10.3390/rs6098718
container_title Remote Sensing
container_volume 6
container_issue 9
container_start_page 8718
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