DocumentCode :
144218
Title :
Global maps of roughness parameters from L-band SMOS observations
Author :
Parrens, M. ; Wigneron, J.-P. ; Richaume, P. ; Kerr, Y. ; Wang, S. ; Alyaari, A. ; Fernandez-Moran, R. ; Mialon, A. ; Escorihuela, M.J. ; Grant, J.-P.
Author_Institution :
Centre dEtudes Spatiales de la BIOsphre (CESBIO), Toulouse, France
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
4675
Lastpage :
4678
Abstract :
The Soil Moisture and Ocean Salinity (SMOS) mission is the first satellite dedicated to providing global surface soil moisture (SM). SMOS operates at L-band and at this frequency, the signal depends on soil moisture but is also significantly affected by surface soil roughness. Using the Combined soil Roughness & Vegetation Effects (CRVE) method detailed in this paper, the effect of vegetation and soil roughness can be combined using a single parameter, referred to as TR here. SM and TR were retrieved by inverting the SMOS observations using the forward emission model (L-MEB). Assuming a linear relationship between TR and LAI obtained by the MODIS data, an Australian map of soil roughness was computed. This map could lead to improved soil moisture retrievals for present and future microwave remote sensing missions such as SMOS and the Soil Moisture Active Passive (SMAP) scheduled for launch in November 2014.
Keywords :
radiometry; remote sensing; soil; vegetation mapping; AD 2014 11; Australian soil roughness map; L-MEB; L-band SMOS observation; L-band SMOS operation; MODIS data; SMAP; SMOS mission; Soil Moisture Active Passive; Soil Moisture and Ocean Salinity mission; TR-LAI linear relationship; forward emission model; global roughness parameter map; global surface SM; global surface soil moisture; improved soil moisture retrieval; microwave remote sensing missions; single parameter; soil CRVE method; soil moisture signal; soil roughness and vegetation effect method; soil roughness effect; surface soil roughness; vegetation effect; Land surface; MODIS; Mathematical model; Remote sensing; Soil moisture; Vegetation mapping; SMOS; Soil roughness; radiative transfer; retrievals; soil moisture; vegetation;
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.2014.6947536
Filename :
6947536
Link To Document :
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