Mapping and Classification of Use Only in the Municipality of Ulianópolis-PA: Dynamics of the Landscape in the Hydrographic Micro-basin of the Cabeludo River
Maiara dos Santos Sousa *
State University of Western Paraná, Agronomy, Brazil.
Letícia do Socorro Cunha
State University of Western Paraná, Agronomy, Brazil.
Renata Adelaide Pluta
State University of Western Paraná, Agronomy, Brazil.
Vanessa de Oliveira Faria
State University of Western Paraná, Agronomy, Brazil.
Karlene Fernandes de Almeida
State University of Western Paraná, Agronomy, Brazil.
Fabiana Tonin
State University of Western Paraná, Agronomy, Brazil.
*Author to whom correspondence should be addressed.
Abstract
The search for economic development, in its most varied production models, anthropic actions have caused great environmental impacts, changing the environment and consequently causing environmental risks in different ways. In this sense, this work aimed to map the use and occupation of land through the spatial temporal dynamics of the hydrographic landscape of the Rio Cabeludo, in the municipality of Ulianópolis - PA, using integrated techniques of remote sensing and geoprocessing. Through the images, the supervised classification of the area was carried out, using the ENVI software for digital image processing and ArcGIS software for the elaboration of the thematic map. Some classes were investigated, such as urban area, exposed soil, temporary tillage, permanent tillage, dense vegetation, scrub, pasture, hydrography, cloud, shade, it is noteworthy that not all classes were repeated in the analyzed period. The evaluation of the studied area showed that there were significant changes in some classes. The identified classes reflect the dynamics of agricultural activity and not commercial plantation areas or large tracts of land. The work showed the possibility and importance of using geoprocessing techniques to monitor the territory and manage the environment, enabling better forms of land occupation and use of natural resources.
Keywords: Impacts, remote sensing, supervised classification, digital image processing