Assessing Seasonal Backscatter Variations with Respect toUncertainties in Soil Moisture Retrieval in SiberianTundra Regions

• Published in: Remote Sensing
• Main Authors: Hoegstrom, E., Trofaier, A.M., Gouttevin, I., Bartsch, A.
• Other Authors: Vienna University of Technology (TU Wien), Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2014
• Subjects: REMOTE SENSING; HYDROLOGY; STATISTICAL UNCERTAINTY; HYDROLOGIE; INCERTITUDE; TELEDETECTION; [SDE]Environmental Sciences; Arctic; Asar; Ice; permafrost; Tundra
• Online Access: https://hal.archives-ouvertes.fr/hal-01140231; https://hal.archives-ouvertes.fr/hal-01140231/document; https://hal.archives-ouvertes.fr/hal-01140231/file/ly2014-pub00043413.pdf; https://doi.org/10.3390/rs6098718

[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU International audience 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 ...