Author(s)

Aparecido Ribeiro de Andrade^1*, Marcos Aurelio Pelegrina², Juliane Bereze¹, João Anésio Bednarz¹, Bruno Henrique Costa Toledo^1,2

¹Department of the Geography, Climatology and Environmental Analysis Laboratory, Universidade Estadual do Centro-Oeste, Unicentro, LACLIAM, Guarapuava, Paraná, Brazil.
²Department of the Geography, Geoprocessing Laboratory, LABGEO, Universidade Estadual do Centro-Oeste, Unicentro, Guarapuava, Paraná, Brazil.

The present work sought to demonstrate the importance using geoprocessing techniques and methodologies in the identification and analysis of the temporal and spatial distribution of air temperature. Therefore, an environment with difficulties for systematic monitoring of climatic elements was selected in the Serra da Esperançaárea, southern region of the State of Paraná. Two methodologies established in geoprocessing were used: the first deals with the interpretation of orbital images and the second makes reference to the interpolation of surface data. These methodologies, used in an integrated way, made it possible to know the relationship between the spatial and temporal distribution of air temperature with vegetation and the terrain altimetry. The air temperature data were monitored at 4 (four) points, following the contours of the federal highway that passes through the study area. Satellite images were obtained of July 26th, 2015 and January 18th, 2016, representing winter and summer southern conditions. The results indicated that this relationship exists and that in the absence of absolute data monitored at conventional collection points, geostatistics techniques allow good estimation. Moreover, this methodology can be used to control land use change in permanent preservation areas.

Air Temperature, Topoclimate, Geostatistics

Andrade, A. , Pelegrina, M. , Bereze, J. , Bednarz, J. and Toledo, B. (2020) Use of Orbital Images and Interpolation Techniques: Climate Monitoring in Permanent Preservation Area (Humid Subtropical Climate). Journal of Geographic Information System, 12, 560-578. doi: 10.4236/jgis.2020.126033.