HR: 09:30h
AN: H21C-07 [PDF]
TI: Evaluation of Data from the Multi-frequency Scanning Microwave Radiometer (MSMR) and Its Potential for
Soil Moisture Retrieval
AU: * Wen, J
EM: jwen@hydrolab.arsusda.gov
AF: USDA, ARS Hydrology and Remote Sensing Lab, 10300 Baltimore Ave., Bldg. 007, Room, 114, BARC-West,
Beltsville, MD 20705 United States
AU: Jackson, T J
EM: tjackson@hydrolab.arsusda.gov
AF: USDA, ARS Hydrology and Remote Sensing Lab, 10300 Baltimore Ave., Bldg. 007, Room, 114, BARC-West,
Beltsville, MD 20705 United States
AU: Bindlish, R
EM: bindlish@hydrolab.arsusda.gov
AF: USDA, ARS Hydrology and Remote Sensing Lab, 10300 Baltimore Ave., Bldg. 007, Room, 114, BARC-West,
Beltsville, MD 20705 United States
AU: Su, Z B
EM: Bob.Su@wur.n
AF: Wageningen University & Research Centre, ALTERRA Green World Research, P.O. Box 47, Wageningen, GL
6700AA
Netherlands
AB:
The Multi-frequency Scanning Microwave Radiometer (MSMR) aboard the India Space Research Organization - Oceansat-1 (IRS-P4)
platform measured land surface brightness temperature at low frequencies and provided an opportunity for exploring
large-scale soil moisture retrieval during its two years period of observation. Several data issues had to be addressed
before using the data. These included geolocation errors, data calibration and anthropogenic Radio-frequency Interference
(RFI). Calibration was evaluated by comparisons to the Tropical Rainfall Measuring Mission/Microwave Imager (TRMM/TMI)
measured brightness temperatures. A negative bias of 3.4 and 3.6 K were observed for the 10.6 GHz horizontal and vertical
polarization bands respectively, negative differences of 14.0 and 10.1 K were found between the MSMR 6.6 GHz and TMI 10.6 GHz
horizontal and vertical polarizations over land surface. These results suggested that additional calibration of the MSMR
data was required. Comparisons between the MSMR measured brightness temperature and ground measured volumetric soil moisture
collected during two field campaigns indicated that the lower frequency and horizontal polarization had higher sensitivity to
the ground soil moisture. Using a previously developed soil emission model, multi-temporal soil moisture was retrieved for
the continental United States. Comparisons between the MSMR based soil moisture and ground measured volumetric soil moisture
indicated an uncertain error of 3.8 percent in the estimated soil moisture. This data may provide a valuable extension to the
SMMR and AMSR instruments since it covers a portion of the time between the two missions.
Keywords: passive microwave, brightness temperature, soil moisture, satellite remote sensing.
DE: 1640 Remote sensing
DE: 1655 Water cycles (1836)
DE: 1860 Runoff and streamflow
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2003 Fall Meeting