Retrieving of near land surface temperature in the source region of Yellow River with remote sensing
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Abstract
Two equations were established during daytime and nighttime by using the MODIS data in the study area for describing the feasibility of getting the LST (land surface temperature). The MODIS LST product and ground based temperature data from HOBO climate stations were collected to analyze the LST for four different grassland in Yellow river watershed. This study showed that it was feasibility to use the MODIS LST product to acquire the land surface temperature. The retrieval equations of daytime and nighttime were also validated, and the mean error in daytime and nighttime are 3.47 K and 2.12 K, respectively. The accuracy of the equation in nighttime was higher, but the effect of different grasslands was inconspicuous.
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