Abstract:

Remotely sensed data have already become one of the major resources. Environmental monitoring with satellite data is facilitated by frequent observations at a fine spatial scale. LST images obtained by thermal infrared remote sensing can be evaluated quickly and effectively for different objects on the earth by the mean of physical, environmental and climatic characteristics. LST is a key parameter in many environmental studies related to different disciplines such as geology, hydrology, ecology, oceanography, meteorology, climatology, etc. LST variations in space and time, measured by satellite remote sensing, are used for the estimation of a multitude of geophysical variables, such as evapotranspiration, vegetation water stress, soil moisture, and thermal inertia. In this letter, we present coefficients for the most popular thermal sensors used to calculate LST from split-window (SW) algorithm. Results, temperature of basalt surface warmer than limestone surface. At the same time, annual temperature changes of limestone surface more than basalt surface.

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