Long-Term Global Satellite Soil Moisture from Maximized Temporal Correlations (1998-2015)
Creators
- 1. Nanjing University of Information Science and Technology
- 2. University of New South Wales
- 3. National Climate Center, China Meteorological Administration
Description
A long-term merged satellite soil moisture product spanning 1998 to 2015. An existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil moisture products within the period. These include the Special Sensor Microwave Imagers (SSM/I), the Tropical Rainfall Measuring Mission (TRMM/TMI), the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor on the National Aeronautics and Space Administration’s (NASA) Aqua satellite, the WindSAT radiometer, onboard the Coriolis satellite and the soil moisture retrievals from the Advanced Microwave Scanning Radiometer 2 (AMSR2) sensor onboard the Global Change Observation Mission on Water (GCOM-W). The sixth is the microwave radiometer imager (MWRI) onboard China’s Fengyun-3B (FY3B) satellite, which is being used for the first time in a merging scheme.
For more details on the quality of the data and the methodology used, please refer to the references listed:
Hagan, D.F.T.; Wang, G.; Kim, S.; Parinussa, R.M.; Liu, Y.; Ullah, W.; Bhatti, A.S.; Ma, X.; Jiang, T.; Su, B. Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging. Remote Sens. 2020, 12, 2164.
Kim, S.; Parinussa, R.M.; Liu, Y.Y.; Johnson, F.M.; Sharma, A. A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation. Geophys. Res. Lett. 2015, 42, 6662–6670.
Notes
Files
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(3.0 GB)
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Additional details
Related works
- Is documented by
- Journal article: 10.3390/rs12132164 (DOI)
References
- Hagan, D.F.T.; Wang, G.; Kim, S.; Parinussa, R.M.; Liu, Y.; Ullah, W.; Bhatti, A.S.; Ma, X.; Jiang, T.; Su, B. Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging. Remote Sens. 2020, 12, 2164.
- Kim, S.; Parinussa, R.M.; Liu, Y.Y.; Johnson, F.M.; Sharma, A. A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation. Geophys. Res. Lett. 2015, 42, 6662–6670.