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Land-surface temperature measurement from space - Physical principles and inverse modelingTo apply the multiple-wavelength (split-window) method used for satellite measurement of sea-surface temperature from thermal-infrared data to land-surface temperatures, the authors statistically analyze simulations using an atmospheric radiative transfer model. The range of atmospheric conditions and surface temperatures simulated is wide enough to cover variations in clear atmospheric properties and surface temperatures, both of which are larger over land than over sea. Surface elevation is also included in the simulation as the most important topographic effect. Land covers characterized by measured or modeled spectral emissivities include snow, clay, sands, and tree leaf samples. The empirical inverse model can estimate the surface temperature with a standard deviation less than 0.3 K and a maximum error less than 1 K, for viewing angles up to 40 degrees from nadir under cloud-free conditions, given satellite measurements in three infrared channels. A band in the region from 10.2 to 11.0 microns will usually give the most reliable single-band estimate of surface temperature. In addition, a band in either the 3.5-4.0-micron region or in the 11.5-12.6-micron region must be included for accurate atmospheric correction, and a band below the ozone absorption feature at 9.6 microns (e.g., 8.2-8.8 microns) will increase the accuracy of the estimate of surface temperature.
Document ID
19890052181
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Wan, Zhengming
(Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing People's Republic of China, United States)
Dozier, Jeff
(California Institute of Technology, Jet Propulsion Laboratory, Pasadena; California, University Santa Barbara, United States)
Date Acquired
August 14, 2013
Publication Date
May 1, 1989
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: 27
ISSN: 0196-2892
Subject Category
Earth Resources And Remote Sensing
Accession Number
89A39552
Funding Number(s)
CONTRACT_GRANT: NAS5-28770
CONTRACT_GRANT: NAG5-917
Distribution Limits
Public
Copyright
Other

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