Caracterização de lavouras cafeeiras, utilizando técnicas de geoprocessamento e sensoriamento remoto, no município de Umuarama - PR

Abstract

The remote sensing and geoprocessing are important geotechnologies in support of the survey data of agriculture, enabling studies and understanding of environmental relations in which a particular culture is insert. The objective of this work was to relate the physical variables, such as altimetry, slope and soil type with the coffee agrosystems in Umuarama-PR through the geotechnologies. The image of the LANDSAT 5/TM (Thematic Mapper) dated in 02/07/2007 and the software SPRING 4.3.3 were used for the image processing. The bands 3, 4 and 5 of the sensor TM were restored, which resulted in images of 15m spatial resolution and, later, creating the RGB color composition, which was used to identify the coffee crops through visual interpretation. For the relief map study, the data of the SRTM mission were applied, which enabled us to know the altimetry and declivity of the region. The image of the TM sensor enabled the visual classification and the consequent identification of the coffee crops with high precision. As for the relief area, it was noticed that about 99% of the coffee fields are located between 380 and 480 meters of altitude and that 90% of them are located in declivity of up to 8% of inclination. About the soils, it was observed that 89% of the coffee fields are grown over distrofic Red Latosol, of sandy texture.