Title :
Scatterometer and ScanSAR soil moisture observations of the contiguous United States
Author :
Pathe, Carsten ; Wagner, Wolfgang ; Sabel, Daniel ; Bartalis, Zoltan ; Doubkova, Marcela ; Naeimi, Vahid
Author_Institution :
Inst. of Photogrammetry & Remote Sensing, Vienna Univ. of Technol., Vienna
Abstract :
Soil moisture has been identified as a land surface parameter of great importance in various fields of application. Based on long-term time series data of various radar sensors, change detection methods for scatterometer and ScanSAR data are presented. After data processing and model parameter estimation, individual radar backscatter measurements are compared to references describing location specific backscatter conditions representing dry and wet surface soil moisture. Using exponential filtering, also profile soil moisture can be calculated. The method have been implemented in a fully automatic data processing chain for soil moisture retrieval for ERS-1/2 and MetOp ASCAT data and Envisat ASAR ScanSAR data. Various validation studies showed good agreement between the remotely sensed soil moisture products and reference data.
Keywords :
hydrological techniques; moisture; radar cross-sections; remote sensing by radar; soil; ERS-1/2 data; Envisat ASAR ScanSAR data; MetOp ASCAT data; United States; automatic data processing chain; change detection methods; exponential filtering; land surface parameter; model parameter estimation; radar backscatter measurements; scatterometer observation; soil moisture; time series data; Backscatter; Data processing; Land surface; Moisture measurement; Parameter estimation; Radar detection; Radar measurements; Radar scattering; Soil measurements; Soil moisture;
Conference_Titel :
Radar Conference, 2009 IEEE
Conference_Location :
Pasadena, CA
Print_ISBN :
978-1-4244-2870-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2009.4977125
