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Land surface temperature (LST) is a key parameter for a wide number of applications, which include hydrology, meteorology and model validation. In this paper a physical single channel algorithm was developed for retrieving LST from the Landsat 8 TIRS data. ASTER Global Emissivity Dataset (GED) and Vegetation Cover Method (VCM) were chosen to improve the accuracy of land surface emissivity and the...
HJ-1B (Huan Jing = Environment) IRS (Infrared Scanner) is one of the key instruments onboard HJ-1B satellite, launched by China in 2008. The 150m and 300m resolutions in four spectral bands wavelength ranging from near-infrared to thermal infrared, and the four days revisit period, make it attractive for researching the global change by providing the parameter of LST (Land Surface Temperature). LST...
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...
To study the distribution and seasonal variation of the Urban Heat Island (UHI) in Beijing, Land surface temperature (LST) was retrieved by the single channel algorithm, which developed by Jiménez-Muňoz and Sobrino, based on the HJ-1B IRS data in 2009. The LST was normalized and scaled into 5 grades to represent the different UHI intensity. The results show that the UHI effects is obvious in Beijing...
In this paper, a generalized split-window method to derive land surface temperature (LST) from MODIS (Moderate Resolution Imaging Spectroradiometer) data is applied. A major problem in land surface temperature inversion is that there are too many unknown variables, especially for MODIS data which is in low resolution, one pixel is a mixture of several cover types. To analysis the uncertainties of...
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