Modelo digital de elevação a partir de imagens de VANT aplicado na identificação de áreas suscetíveis a alagamentos em uma sub-bacia hidrográfica da cidade de Teresina-Piauí

Abstract

The occurrence of urban flooding has gained alarming proportions in the last few years, leaving economics and social losses as consequence. Considering the versatility that UAV photogrammetry and Geographic Information Systems (GIS) have for information generation and decision-making, it is possible to ensure that these geotechnologies constitute important tools for planning and understanding the geographic space. Therefore, this research aimed to identify possible flooding areas in a sub-basin located in the city of Teresina, Piauí, through Digital Surface Modeling (DSM) and through topographic depression detection methodology. For this purpose, the area was aerial surveyed and the images taken were processed. The acquired data analysis resulted in the generation of points and polygons corresponding to depressions on the terrain. Thereby, the acquired data was classified through generated variables, such as area and depth. From this classification, it was possible to estimate the relevance of each area, in order to simplify the viewing and understanding of the information. Based on the results, it is believed that the techniques and methods used are reliable and can provide background for future researches.