Enhanced-resolution SMAP soil moisture using image reconstruction
- Resource Type
- 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International. :2499-2502 Jul, 2017
- Aerospace; Components, Circuits, Devices and Systems; Fields, Waves and Electromagnetics; Geoscience; Power, Energy and Industry Applications; Signal Processing and Analysis; Spatial resolution; Image reconstruction; Noise measurement; Antenna measurements; Microwave radiometry; Signal resolution; SMAP; radiometer; reconstruction; resolution enhancement; Backus-Gilbert; passive microwave remote sensing
The loss of the active sensor channels limits the spatial resolution capability of the Soil Moisture Active Passive (SMAP) mission in measuring soil moisture. Image reconstruction techniques can provide an enhanced resolution product. Using such processing techniques and code developed for the NASA MEaSUREs Calibrated Passive Microwave Daily Equal-Area Scalable Earth (EASE) Grid 2.0 Brightness Temperature (CETB) Earth System Data Record (ESDR) project, we are generating enhanced-resolution SMAP TB products on both 3 km SMAP project grids and 3.125 km CETB-compatible grids. The intrinsic tradeoff between resolution and noise is explored using multiple resolution enhancement algorithms, and the spatial response functions for each are presented.