Estimation of surface soil moisture in alpine areas based on medium spatial resolution SAR time-series and upscaled in-situ measurements

F. Greifeneder; C. Notarnicola; G. Cuozzo; G. Bertoldi; S. Della Chiesa; G. Niedrist; J. Stamenkovic; W. Wagner

doi:10.1117/12.2071252

21 October 2014 Estimation of surface soil moisture in alpine areas based on medium spatial resolution SAR time-series and upscaled in-situ measurements

F. Greifeneder, C. Notarnicola, G. Cuozzo, G. Bertoldi, S. Della Chiesa, G. Niedrist, J. Stamenkovic, W. Wagner

Author Affiliations +

Proceedings Volume 9243, SAR Image Analysis, Modeling, and Techniques XIV; 92430G (2014) https://doi.org/10.1117/12.2071252
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The goal of this study was to assess the applicability of medium resolution SAR time-series, in combination with in-situ point measurements and machine learning, for the estimation of soil moisture content (SMC). One of the main challenges was the combination of SMC point measurements and satellite data. Due to the high spatial variability of soil moisture a direct linkage can be inappropriate. Data used in this study were a combination of in-situ data, satellite data and modelled SMC from the hydrological model GEOtop. To relate the point measurements with the satellite pixel footprint resolution, a spatial upscaling method was developed. It was found that both temporal and spatial SMC patterns obtained from various data sources (ASAR WS, GEOtop and meteorological stations) show similar behaviors. Furthermore, it was possible to increase the absolute accuracy of the estimated SMC through spatial upscaling of the obtained in-situ data. Introducing information on the temporal behavior of the SAR signal proves to be a promising method to increase the confidence and accuracy of SMC estimations. Following steps were identified as critical for the retrieval process: the topographic correction and geocoding of SAR data, the calibration of the meteorological stations and the spatial upscaling.

Citation Download Citation

F. Greifeneder, C. Notarnicola, G. Cuozzo, G. Bertoldi, S. Della Chiesa, G. Niedrist, J. Stamenkovic, and W. Wagner "Estimation of surface soil moisture in alpine areas based on medium spatial resolution SAR time-series and upscaled in-situ measurements", Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 92430G (21 October 2014); https://doi.org/10.1117/12.2071252

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available