Towards a Medium Resolution Brightness Temperature Product from Active and Passive Microwave Observations
نویسندگان
چکیده
Global measurements of soil moisture are vital to understanding the global water, energy and carbon cycles. An accurate estimation of soil moisture at a spatial resolution of better than 10km will benefit the future development of regional water resource applications, such as weather forecasting, flood prediction and agricultural activities. Therefore the objective of NASA’s Soil Moisture Active Passive (SMAP) mission [1], scheduled for launch in 2014, is to achieve a medium resolution (~9km) soil moisture estimate with a 0.04 m 3 /m 3 accuracy in areas having a vegetation water content less than 5kg/m 2 , through combination of high resolution (~3km) but noisy radar data with accurate but lower resolution (~36km) radiometer data. However, given the novelty of the SMAP viewing configuration, the downscaling algorithms required to achieve such an intermediate soil moisture product through the synergy of active-passive data, have so far received only limited testing with real data sets (airborne or spaceborne). Consequently, this study tests the baseline downscaling algorithm developed for SMAP [2], using experimental airborne data collected by a SMAP airborne simulator and supporting ground data.
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Downscaling of coarse-resolution radiometer brightness temperature by high-resolution radar backscatter
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