Abstract
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.
Highlights
Climatology needs geostatistical data to validate its analysis
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
The study area is within the Serra da Esperança Permanent Preservation Area (Figure 1), in the northern region sector
Summary
Geoprocessing techniques are important tools in this process. This form of interpretation of geographical facts is associated with the methodological framework of the so-called Positivist Geography. Even though having undergone several criticisms in the last 30 years, it persists as an effective methodology in climatological studies These studies emphasize the physical relationship between relief, vegetation, temperature and air humidity in an unequivocal manner and a belief in climatological science taken as common sense. In this way the visualization of this relationship using maps and graphs is interesting to be represented and it is in this aspect that geoprocessing fits perfectly in the climate analysis
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