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Thus, this paper describes a method for estimating the impacts of current land uses as well as local and regional planning policies on local climate regulation, using evapotranspiration and land surface emissivity as indicators.
A Landsat 5 image, with bare soils, was acquired and LST was extracted using the inversion of Planck's function in band 6. Land surface emissivity was estimated using the Normalized Difference Vegetation Index threshold method.
BFED land surface emissivity product (Seemann et al. 2008) is created by using the MODIS land surface emissivity product.
Land surface emissivity values were assigned randomly using a uniform distribution between 0.8-1.0 0.8-1.0
Sobrino and Raissouni (2000) and Valor and Caselles (1996) used different approaches to predict land surface emissivity from NDVI values.
The land surface emissivity is from the baseline-fit emissivity database (BFED) monthly mean product (Seemann et al. 2008).
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Landscape Attributes Datasets: land surface broadband emissivity and albedo, leaf area index and fractional vegetation coverage extracted/derived from MODIS products and temporally filtered for cloud contamination.
Landscape Attributes Datasets: includes land surface broadband emissivity and albedo, leaf area index and fractional vegetation coverage extracted/derived from MODIS products and temporally filtered for cloud contamination.
In order to obtain accurate values of land surface temperature, atmospheric, emissivity and angular effects should be corrected.
Land surface temperature and emissivity are independent variables, and the thermal-infrared spectral radiance measured in remote sensing is dependent on both.
A mean seasonal, gridded, Land Surface Temperature and Emissivity (LST&E) database has been produced at 100 m spatial resolution using all the ASTER scenes acquired for the months of Jan Mar (winter) and Jul Sep (summer) over North America.
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