An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval
- 10 December 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 49 (5), 1504-1512
- https://doi.org/10.1109/tgrs.2010.2089526
Abstract
A robust and simple algorithm is developed to merge L-band radiometer retrievals and L-band radar observations to obtain high-resolution (9-km) soil-moisture estimates from data of the NASA Soil Moisture Active and Passive (SMAP) mission. The algorithm exploits the established accuracy of coarse-scale radiometer soil-moisture retrievals and blends this with the fine-scale spatial heterogeneity detectable by radar observations to produce a high-resolution optimal soil-moisture estimate at 9 km. The capability of the algorithm is demonstrated by implementing the approach using the airborne Passive and Active L-band System (PALS) instrument data set from Soil Moisture Experiments 2002 (SMEX02) and a four-month synthetic data set in an Observation System Simulation Experiment (OSSE) framework. The results indicate that the algorithm has the potential to obtain better soil-moisture accuracy at a high resolution and show an improvement in root-mean-square error of 0.015-0.02-cm3/cm3 volumetric soil moisture over the minimum performance taken to be retrievals based on radiometer measurements resampled to a finer scale. These results are based on PALS data from SMEX02 and a four-month OSSE data set and need to be further confirmed for different hydroclimatic regions using airborne data sets from prelaunch calibration/validation field campaigns of the SMAP mission.Keywords
This publication has 13 references indexed in Scilit:
- The Soil Moisture Active Passive (SMAP) MissionProceedings of the IEEE, 2010
- Utilization of airborne and in situ data obtained in SGP99, SMEX02, CLASIC and SMAPVEX08 Field Campaigns for SMAP Soil Moisture Algorithm Development and ValidationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer ObservationsIEEE Transactions on Geoscience and Remote Sensing, 2009
- A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar DataIEEE Transactions on Geoscience and Remote Sensing, 2009
- A method for retrieving high-resolution surface soil moisture from hydros L-band radiometer and Radar observationsIEEE Transactions on Geoscience and Remote Sensing, 2006
- An observing system simulation experiment for hydros radiometer-only soil moisture productsIEEE Transactions on Geoscience and Remote Sensing, 2005
- Passive active L- and S-band (PALS) microwave sensor for ocean salinity and soil moisture measurementsIEEE Transactions on Geoscience and Remote Sensing, 2001
- Sensitivity to soil moisture by active and passive microwave sensorsIEEE Transactions on Geoscience and Remote Sensing, 2000
- Radar mapping of surface soil moistureJournal of Hydrology, 1996
- Passive microwave remote sensing of soil moistureJournal of Hydrology, 1996