DocumentCode :
143383
Title :
Performance inter-comparison of soil moisture retrieval models for the MetOp-A ASCAT instrument
Author :
Gruber, Alexander ; Paloscia, Simonetta ; Santi, Emanuele ; Notarnicola, Claudia ; Pasolli, Luca ; Smolander, Tuomo ; Pulliainen, Jouni ; Mittelbach, Heidi ; Dorigo, Wouter ; Wagner, Wolfgang
Author_Institution :
Dept. of Geodesy & Geoinf., Vienna Univ. of Technol., Vienna, Austria
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2455
Lastpage :
2458
Abstract :
In this study we evaluate five different retrieval algorithms, applied on MetOp-A ASCAT backscatter data, in their ability to retrieve soil moisture on a global scale. Correlation and triple collocation analysis are performed using in situ and land surface model data as a reference. Results do not clearly identify one best algorithm. We therefore conclude that future work should focus on the exploitation of the strengths and weaknesses of different modelling approaches in a synergetic way rather than trying to find one model that suits every possible situation.
Keywords :
soil; MetOp-A ASCAT backscatter data; MetOp-A ASCAT instrument; global scale soil moisture retrieval; in situ model data; land surface model data; modelling approach strength; modelling approach weakness; retrieval algorithm evaluation; soil moisture retrieval model performance inter-comparison; triple collocation analysis; Backscatter; Correlation; Data models; Moisture measurement; Remote sensing; Soil measurements; Soil moisture; Soil moisture; calibration; retrieval model; triple collocation; validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946969
Filename :
6946969
Link To Document :
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