DocumentCode
143727
Title
Comparing soil moisture retrievals from SMOS, ASCAT and AMSR-E over the Pampas plains
Author
Smucler, E. ; Carballo, F. ; Grings, F. ; Bruscantini, C. ; Salvia, M. ; Crow, W. ; Karszenbaum, H.
Author_Institution
Quantitative Remote Sensing Group, Univ. of Buenos Aires, Buenos Aires, Argentina
fYear
2014
fDate
13-18 July 2014
Firstpage
3303
Lastpage
3306
Abstract
Currently, there are several satellite systems of coarse spatial resolution that observe the Earth in the microwave region of the electromagnetic spectrum. They provide operational soil moisture products, among them AMSR-E/LPRM, ASCAT, SMOS. This work aims at answering the following questions: 1) are these products comparable?, 2) how does one evaluate their quality and if they are realistic in view of the lack of in situ data at their spatial scale? To answer these questions, we have analyzed time series of the soil moisture product for the different systems mentioned above. Two types of analysis were performed: a) analysis of spatial anomalies and their correlations, b) analysis of temporal anomalies and application of the Triple Collocation method for error estimation. Land cover maps, precipitation data and NDVI time series were used as ancillary information.
Keywords
hydrological techniques; land cover; moisture; remote sensing; soil; AMSR-E; ASCAT; Earth; NDVI time series; Pampas plains; SMOS; Triple Collocation method; ancillary information; coarse spatial resolution; electromagnetic spectrum; error estimation; land cover maps; microwave region; precipitation data; soil moisture products; soil moisture retrievals; spatial anomaly analysis; Correlation; Error analysis; Microwave theory and techniques; Optical sensors; Remote sensing; Soil moisture; Time series analysis; microwave satellite; soil moisture;
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.2014.6947186
Filename
6947186
Link To Document