TY - GEN
T1 - Soil moisture retrieval over the Mackenzie River basin using AMSR-E 6.9 GHz brightness temperature
AU - Chaouch, Naira
AU - Leconte, Robert
AU - Magagi, Ramata
AU - Temimi, Marouane
PY - 2007
Y1 - 2007
N2 - An approach is proposed to estimate soil moisture and to monitor its change from AMSR-E 6.9 GHz passive microwave data acquired over a large northern basin. The lack of in situ direct measurements is a major issue to be resolved to reach the aim of this work. Therefore, "external" ancillary data were used as a surrogate for available measurements. The methodology is based on the inversion of a microwave radiative transfer model. A sequential method based on the sensitivity of the emitted microwave signal to soil roughness and vegetation parameters was applied to calibrate the model. The roughness parameter was determined from AMSR-E data acquired under dry watershed conditions. The vegetation parameters were estimated under wet conditions. The method was first applied in the Peace-Athabasca Delta area located in Northern Alberta, Canada. The estimated geophysical parameters were then used to retrieve soil moisture estimates for sites with similar LAI values. It was found that the variations of the estimated soil moisture compared well with soil moisture imported from NARR data. A satisfactory agreement was obtained between soil moisture, precipitation and temperature.
AB - An approach is proposed to estimate soil moisture and to monitor its change from AMSR-E 6.9 GHz passive microwave data acquired over a large northern basin. The lack of in situ direct measurements is a major issue to be resolved to reach the aim of this work. Therefore, "external" ancillary data were used as a surrogate for available measurements. The methodology is based on the inversion of a microwave radiative transfer model. A sequential method based on the sensitivity of the emitted microwave signal to soil roughness and vegetation parameters was applied to calibrate the model. The roughness parameter was determined from AMSR-E data acquired under dry watershed conditions. The vegetation parameters were estimated under wet conditions. The method was first applied in the Peace-Athabasca Delta area located in Northern Alberta, Canada. The estimated geophysical parameters were then used to retrieve soil moisture estimates for sites with similar LAI values. It was found that the variations of the estimated soil moisture compared well with soil moisture imported from NARR data. A satisfactory agreement was obtained between soil moisture, precipitation and temperature.
KW - AMSR-E brightness temperature
KW - C-band emission
KW - Soil moisture
KW - Vegetation parameter
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M3 - Conference contribution
AN - SCOPUS:55749104257
SN - 9781901502244
T3 - IAHS-AISH Publication
SP - 64
EP - 69
BT - IAHS-AISH Publication - Remote Sensing for Environmental Monitoring and Change Detection
T2 - IAHS Symposium on Remote Sensing for Environmental Monitoring and Change Detection - 24th General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Y2 - 2 July 2007 through 13 July 2007
ER -