Correlation study between land use and covering with surface temperature registered by Landsat 8 satellite

Abstract

The vegetation covering of the terrestrial surface is one of the conditioning factors for the variation in air temperature found in these places. Thus, the objective of this research is to verify the spatial correlation between land use patterns and surface temperature values (Ts) recorded by Landsat 8 satellite. The study area is located in the rural area of Francisco Beltrão/PR, characterized by the presence of subsistence agricultural uses. Scene data dated 11/27/2017 and 12/13/2017 were processed, both for obtaining land use and land covering maps, as well as for surface temperature data. The registered Ts for each class of land use: water, dense forest, open forest, grazing, plantation, and cropped land showed a strong Pearson correlation, being 0.9116 and 0.9292 respectively for the mapped scenes. When analyzing the homogeneity between the Ts variances of each class, it was found that the values of the means do not have a significant minimum similarity to each other. The Tukey test showed that none of the classes of use showed similar values for the first date. For the second date, however, the water and dense forest classes had statistically similar Ts, in addition to the open forest and grazing classes.

Keywords:
Remote sensing; TIRS sensor; Image processing; Software SPRING