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<?Pub Dtl?>In this paper, two atmospheric profile sources were assessed for land surface temperature (LST) retrieval purposes for the HJ-1B IRS (Infrared Scanner) single-channel thermal infrared (TIR) data. One profile source is the National Center for Environmental Prediction (NCEP) operational global analysis data, and the other source is the Moderate Resolution Imaging Spectroradiometer (MODIS)...
In this paper, two atmospheric profile sources were assessed for land surface temperature retrieval purposes. One is the MODIS atmospheric profiles product (MOD07), and the other is the National Center for Environmental Prediction (NCEP) operational global analysis data. Atmospheric profiles were used as the input to the MODTRAN4 radiative transfer model to calculate atmospheric parameters involved...
Remotely sensed land surface temperature (LST)is of great value to the research in the fields of climatology, hydrology, ecology, and biogeochemistry,as well as a wide range of interdisciplinary research areas, since it isan efficient and practical way of acquiringtemperature variability globally and continuously. In the paper, the generalized split-window algorithm proposed by Wan and Dozier (1996)is...
Land surface temperature (LST) is required for a wide variety of scientific studies, from climatology to hydrology and ecology. The feasibility of using atmospheric profile extracted from NCEP data for LST retrieval from HJ-1B/IRS data was analyzed in this paper. A series of ground measurements were carried out to validate the IRS LST results in Hebei province, China, from May to September, 2010....
Land surface emissivity (LSE) is an essential parameter in deriving land surface temperature form remote sensing data. According to the single channel characteristics of HJ-1B Infrared Scanner (IRS), a combined method for estimating LSE was proposed based on the vegetation cover method and classification-based method. The proposed method requires inputs such as static land cover product, vegetation...
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