期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 13, 期 9, 页码 1270-1274出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2016.2581140
关键词
Brightness temperature; land cover; land surface emissivity; passive microwave (PMW) remote sensing
类别
资金
- Department of Defense Army Research Office [W911NF-15-1-0070]
- National Science Foundation [HRD-1345219]
- Center for Remote Sensing and Earth Systems Science at the New York City College of Technology
A reliable estimate of emissivity is critical for a wide range of applications for the atmosphere, the biosphere, the lithosphere, the cryosphere, and the hydrosphere. This study uses three years (August 2012 to July 2015) of data from the Advanced Microwave Scanning Radiometer-2 sensor that is on-board the Global Change Observation Mission 1st Water satellite to explore estimates of instantaneous global land emissivity. A method is adopted to remove the known inconsistency in penetration depths between microwave brightness temperatures and infrared-based ancillary data that could cause differences between day and night emissivity estimates. After removing the diurnal atmospheric effects, the resulting retrieved cloud-free land emissivities realistically represent well-known large-scale features. As expected, the polarization differences of estimated emissivities show noticeable seasonal variations over the deciduous woodland and grassland regions due to changes in vegetation density. The potential of estimated emissivities for high-latitude snow detection and freeze/thaw state identification is also demonstrated.
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