Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra 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: Hoegstrom, E., Trofaier, A.M., Gouttevin, I., Bartsch, A.
Other Authors: VIENNA UNIVERSITY OF TECHNOLOGY VIENNA AUT, IRSTEA LYON UR HHLY FRA
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Ice
Online Access:https://irsteadoc.irstea.fr/cemoa/PUB00043413
id ftcemoa:oai:irsteadoc.irstea.fr:PUB00043413
record_format openpolar
institution Open Polar
collection Irstea Publications et Bases documentaires (Irstea@doc/CemOA)
op_collection_id ftcemoa
language English
topic HYDROLOGIE
INCERTITUDE
TELEDETECTION
HYDROLOGY
REMOTE-SENSING
HIGH-LATITUDES
REMOTE SENSING
STATISTICAL UNCERTAINTY
spellingShingle HYDROLOGIE
INCERTITUDE
TELEDETECTION
HYDROLOGY
REMOTE-SENSING
HIGH-LATITUDES
REMOTE SENSING
STATISTICAL UNCERTAINTY
Hoegstrom, E.
Trofaier, A.M.
Gouttevin, I.
Bartsch, A.
Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
topic_facet HYDROLOGIE
INCERTITUDE
TELEDETECTION
HYDROLOGY
REMOTE-SENSING
HIGH-LATITUDES
REMOTE SENSING
STATISTICAL UNCERTAINTY
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 . Backscatter deviations of up to 5 dB can occur in areas with less than 50% water fraction and an assumed soil moisture related range (sensitivity) of 7 dB in the ASCAT data. The sensitivity is also positively correlated with water fraction in regions with low land-surface model agreement (R = 0.68). A precise quantification of the impact on soil moisture retrieval would, however, need to consider actual soil moisture changes and sensor differences. The study demonstrates that the usage of higher spatial resolution data than currently available for SSM is required in lowland permafrost environments. / La connaissance de l'hydrologie de surface est essentielle mais difficile aux hautes latitudes du fait de la rareté des observations. Les observations satellites offrent le moyen d'y pallier, mais encore faut-il s'assurer de la validité de ces approches dans ces régions. Par l'intermédiaire de deux jeux de données satellite de résolutions différentes, on étudie ici la sensibilité du signal de micro-ondes actives rétrodiffusées à des facteurs autres que l'humidité superficielle des sols. Les zones d'étude ont été ciblées pour correspondre à des régions où les modèles hydrologiques divergent des observations. Dans la plupart de ces zones, l'utilisation d'un produit satellite à fine résolution met en évidence l'impact des lacs sur le signal micro-onde observé, et utilisé pour inférer l'humidité superficielle dans les produits satellites. Il est donc nécessaire d'apporter des corrections aux produits satellitaires dans les régions où la forte concentration en étendues d'eau libre et l'occurrence de vents violents en limitent la validité pour l'hydrologie de surface.
author2 VIENNA UNIVERSITY OF TECHNOLOGY VIENNA AUT
IRSTEA LYON UR HHLY FRA
format Article in Journal/Newspaper
author Hoegstrom, E.
Trofaier, A.M.
Gouttevin, I.
Bartsch, A.
author_facet Hoegstrom, E.
Trofaier, A.M.
Gouttevin, I.
Bartsch, A.
author_sort Hoegstrom, E.
title Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
title_short Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
title_full Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
title_fullStr Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
title_full_unstemmed Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions
title_sort assessing seasonal backscatter variations with respect touncertainties in soil moisture retrieval in siberiantundra regions
publishDate 2014
url https://irsteadoc.irstea.fr/cemoa/PUB00043413
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 39197
op_relation http://dx.doi.org/10.3390/rs6098718
http://www.mdpi.com/2072-4292/6/9/8718
https://irsteadoc.irstea.fr/cemoa/PUB00043413
op_rights Date de dépôt: 2015-01-28 - Tous les documents et informations contenus dans la base CemOA Publications sont protégés en vertu du droit de propriété intellectuelle, en particulier par le droit d'auteur. La personne consultant la base CemOA Publications peut visualiser, reproduire, ou stocker des copies des publications, à condition que l'information soit seulement pour son usage personnel et non commercial. L'utilisation des travaux universitaires est soumise à autorisation préalable de leurs auteurs. Toute information relative au signalement d'une publication contenue dans CemOA Publications doit inclure la citation bibliographique usuelle : Nom du ou des auteurs, titre et source du document, date et URL de la notice (dc_identifier).
op_doi https://doi.org/10.3390/rs6098718
container_title Remote Sensing
container_volume 6
container_issue 9
container_start_page 8718
op_container_end_page 8738
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spelling ftcemoa:oai:irsteadoc.irstea.fr:PUB00043413 2023-05-15T15:20:00+02:00 Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions Hoegstrom, E. Trofaier, A.M. Gouttevin, I. Bartsch, A. VIENNA UNIVERSITY OF TECHNOLOGY VIENNA AUT IRSTEA LYON UR HHLY FRA 2014 application/pdf https://irsteadoc.irstea.fr/cemoa/PUB00043413 Anglais eng http://dx.doi.org/10.3390/rs6098718 http://www.mdpi.com/2072-4292/6/9/8718 https://irsteadoc.irstea.fr/cemoa/PUB00043413 Date de dépôt: 2015-01-28 - Tous les documents et informations contenus dans la base CemOA Publications sont protégés en vertu du droit de propriété intellectuelle, en particulier par le droit d'auteur. La personne consultant la base CemOA Publications peut visualiser, reproduire, ou stocker des copies des publications, à condition que l'information soit seulement pour son usage personnel et non commercial. L'utilisation des travaux universitaires est soumise à autorisation préalable de leurs auteurs. Toute information relative au signalement d'une publication contenue dans CemOA Publications doit inclure la citation bibliographique usuelle : Nom du ou des auteurs, titre et source du document, date et URL de la notice (dc_identifier). 39197 HYDROLOGIE INCERTITUDE TELEDETECTION HYDROLOGY REMOTE-SENSING HIGH-LATITUDES REMOTE SENSING STATISTICAL UNCERTAINTY Article de revue scientifique à comité de lecture 2014 ftcemoa https://doi.org/10.3390/rs6098718 2021-06-29T10:52:56Z 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 . Backscatter deviations of up to 5 dB can occur in areas with less than 50% water fraction and an assumed soil moisture related range (sensitivity) of 7 dB in the ASCAT data. The sensitivity is also positively correlated with water fraction in regions with low land-surface model agreement (R = 0.68). A precise quantification of the impact on soil moisture retrieval would, however, need to consider actual soil moisture changes and sensor differences. The study demonstrates that the usage of higher spatial resolution data than currently available for SSM is required in lowland permafrost environments. / La connaissance de l'hydrologie de surface est essentielle mais difficile aux hautes latitudes du fait de la rareté des observations. Les observations satellites offrent le moyen d'y pallier, mais encore faut-il s'assurer de la validité de ces approches dans ces régions. Par l'intermédiaire de deux jeux de données satellite de résolutions différentes, on étudie ici la sensibilité du signal de micro-ondes actives rétrodiffusées à des facteurs autres que l'humidité superficielle des sols. Les zones d'étude ont été ciblées pour correspondre à des régions où les modèles hydrologiques divergent des observations. Dans la plupart de ces zones, l'utilisation d'un produit satellite à fine résolution met en évidence l'impact des lacs sur le signal micro-onde observé, et utilisé pour inférer l'humidité superficielle dans les produits satellites. Il est donc nécessaire d'apporter des corrections aux produits satellitaires dans les régions où la forte concentration en étendues d'eau libre et l'occurrence de vents violents en limitent la validité pour l'hydrologie de surface. Article in Journal/Newspaper Arctic Ice permafrost Tundra Irstea Publications et Bases documentaires (Irstea@doc/CemOA) Arctic Asar ENVELOPE(134.033,134.033,68.667,68.667) Remote Sensing 6 9 8718 8738