Keywords:SMAP; Coastal areas; Brightness temperature
Publisher:Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2018
Citation:2018 IGARSS International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 22-27, 2018
Abstract:
The Soil Moisture Active Passive (SMAP) mission was designed to acquire and combine L-band radar and radiometer measurements for the estimation of soil moisture with 4% volumetric accuracy away from coastal zones. In regions near the coast or near inland bodies of water, the SMAP footprint contains land and water, resulting in errors in the soil moisture estimation. In this paper, we address the effort to extract the brightness temperature related to the land fraction or water fraction (depending on the center of the footprint location) from the affected SMAP measurements. We evaluate the performance of our algorithm over simulated data. We then show results over real data. The new SMAP upgraded product is expected to be delivered on April 2018.
