It is highly desirable to accurately detect the clouds in satellite images before any kind of applications. However, clouds and snow discrimination in remote sensing images is a challenging task because of their similar spectral signature. The shortwave infrared (SWIR, e.g., Landsat TM 1.55–1.75 μm band) band is widely used for the separation of cloud and snow. However, for some sensors such as...

O objetivo deste trabalho foi realizar a análise de focos incêndio e áreas queimadas durante o período seco do bioma Amazônia nos anos 2018 2019, considerando um recorte espacial no nordeste estado Rondônia. Os procedimentos consistiram na produção mapas partir dados obtidos banco INPE mapeamento uso cobertura da terra através imagens satélite CBERS 4, para identificação cicatrizes incêndios ca...

Wind energy is one of Brazil’s most promising sources, and the rapid growth wind plants has increased need for accurate efficient inspection methods. The current onsite visits, which are laborious costly, have become unsustainable due to sheer scale across country. This study proposes a novel data-centric approach integrating semantic segmentation GIS obtain instance-level predictions by using ...

The main task is to apply in the Araucaria angustifolia (Brazilian pine) biome, the multi-temporal change detection algorithm “RCNA multi-spectral”, using TM/Landsat-7 and CCD/CBERS-2 images. The study area is located in Central-South Paraná State, characterized by remnants of Mixed Ombrophilous Forest formations and by a traditional agricultural and cattle raising activities. The approach of c...

This paper presents a study of the structural lineaments of the Pantanal extracted visually from satellite images (CBERS-2B satellite, Wide Field Imager sensor, a free image available in INTERNET) and a comparison with the structural lineaments of Precambrian and Paleozoic rocks surrounding the Cenozoic Pantanal Basin. Using a free software for satellite image analysis, the photointerpretation ...

In this paper its presented classification methods for identify forests with araucaria angustifolia, using artificial intelligence and Fractal approach. Studies were made to perform experiments in which could be verified the suitable of ANNs for classification of CBERS satellite images. However, it was noticed in that classification a significant error exists. Then, it intends to continuity tha...