학술논문

Enhanced-resolution SMAP soil moisture using image reconstruction
Document Type
Conference
Source
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International. :2499-2502 Jul, 2017
Subject
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
Language
ISSN
2153-7003
Abstract
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.