Detecção de mudanças de forma automática no entorno de reservatórios: estudo de caso - Canoas I

Abstract

Perform change detection of Earth's surface features is important to understand both the dynamics of the phenomena and for the prediction of impacts and to support decision-making. During the last decades were developed several change detection techniques from images, among them those based on remote sensing images. In general, the change detection involves the use of a set of multi-temporal data, which permits quantitative analysis of the phenomenon of interest. An application of great interest of these techniques is the automatic detection of changes in the vicinity of reservoirs, which can be used as auxiliary data in a monitoring system of the areas of interest. In such a system it is expected that the changes resulting from human activity are detected even if there are factors that cause differences between scenes, such as atmospheric conditions, scene lighting, sensor view point, soil moisture, among other factors. Considering this context, this paper presents the evaluation results of a change detection approach based on a modification applied to the RCEN (Radiometric Rotation Controlled by Non change axis) technique. The method was implemented and applied to a set of orthorectified images obtained by orbital system SPOT 6, taken at two different times on the Canoas I reservoir, under concession from Duke Energy (currently CTG Brasil). The results showed that the algorithm based on modified RCEN technique was efficient to detect automatically changes.

Backdating of Invariant Pixels: Comparison of Algorithms for Land Use and Land Cover Change (Lucc) Detection in the Subtropical Brazilian Atlantic Forest

“…As a result, the radiometric differences between the images of the Landsat sensors have become more evident over the years (Banskota et al 2014;Maldonado, Santos and Graça 2007). One of the causes related to radiometric differences are variations in solar angulation (bidirectional reflectance distribution function-BRDF effects) that can modify the solar illumination condition in the entire study area (Caldeira et al 2018;Riaño et al 2003), mainly in the region of "Planalto Serrano" and "Alto Vale do Itajaí" where the relief is rugged.…”