O paradoxo da pandemia da COVID-19 mostrou que mesmo em tempos informacionais, nunca se consumiu tantas informações falsas (popularmente conhecidas como Fake News). Inúmeros veículos de informações (imprensa, blogs pessoais, consórcios de empresas de comunicação, entre outros) buscaram criar mecanismos de controle, avaliação e checagem sobre a veracidade sobre as mais variadas informações, no entanto, estes esforços encontram uma árdua luta, sobretudo no que tange aquelas relativas à Covid-19. Deste contexto, apresenta-se neste relato de experiência um conjunto de ações desenvolvidas pelo Projeto CoronaGis, sobretudo, as que são relativas à análise epidemiológica e cartográfica da Covid-19 em Santa Catarina e seus impactos associados. O objetivo do relato é compartilhar os resultados das atividades de difusão do conhecimento do projeto, o canal Corongis Soluções Cartográficas na plataforma Youtube, e com isso debater e problematizar o caráter central dos fundamentos científicos para análise da doença.

Hydroelectric power plants cause impacts that are usually estimated by an indicator, the hydroelectric power generation per hectare of flooded area. And, although entrepreneurs use quality-declared cartographic bases to comply with the standards, at the project stages of a hydroelectric plant it is not a priori determined whether the altimetry tolerance of such bases is sufficient to ensure that the impacts will not increase, which in the project consolidation becomes a huge problem. This work aims to define the altimetry quality of SRTM Digital Elevation Models (DEM) and ASTER GDEM and whether they are a priori sufficient to simulate the flood level of hydroelectric power plants in different reliefs. To accomplish this objective, a morphological method of assessment of the DEM quality was developed, through Geographic Information Systems (GIS), so that the altimetry information generated by the models and field surveys, when compared, would show their actual differences also in relation to their areas. To this end, two study areas were used: one with a slightly undulated relief and the other with undulated relief. To validate the models, quality assessments were carried out: based on points, according to the Brazilian Map Accuracy Standard (MAS) and STANAG 2215; and based on surfaces, according to Article 500 of the Brazilian Civil Code and the morphological method. At the end, practical applications relating to the M&P indicator and hydroelectric power plants projects were also carried out. The results presented demonstrate that the quality of an SRTM DEM when used in undulating or gently undulating reliefs can be used up to 1:80,000 scale. Already for DEM ASTER under the same conditions, it is possible to use on the scale 1:100,000. In DEM SRTM and DEM ASTER, after removing the systematic error (−7.3 m) and (−6.2 m), respectively, the quality between 65% and 79% is verified for DEM SRTM and 53%, and 68% for DEM ASTER for common areas in flood level simulation.

Satellite imagery is used for many activities in different areas of the planet, including searching for alternative and sustainable sources to meet growing energy demand to reduce greenhouse gas (GHG) emissions. One way to minimize these effects and expand energy parks is to encourage local generation through the use of renewable sources, such as solar energy, which is free and affordable in many regions of the planet, but that in Brazil is not yet a reality. In order to make an assertive decision when installing a solar power system, one needs to use tools that involve remote sensing and geographic information systems (GIS), and compile information and variables that are relevant to the subject of solar power generation and take into account the inherent geographic space. In this context, the main objective of this work is to develop a GIS model to identify areas with solar potential on a regional scale using active remote sensor images and previously available solar models. To validate the model, this study used an area on the island part of the city of Florianópolis in Santa Catarina State-Brazil, which suffers from repeated climatic events which cause long power cuts, as its distribution occurs by air all over the island. Through the "solar analist" function of ArcGIS and the matrix bases derived from the Digital Model of the Space Shuttle Topography Mission (SRTM) with 30 m of spatial resolution and the supervised classification of panthromatic and multispectral images fused from LandSat 8 satellite, were generates indicative maps of the areas with solar potential. The results pointed to a high solar potential in the all year and that could be better explored by public managers and also by individual consumers.

The study for the implementation of large engineering works demands constant planning, management, and decision-making to deal with the multitude of problems that may arise during the implementation of a given enterprise. Due to the constant growth and development of cities, the execution of new infrastructure works has been necessary and recurrent in the region, causing some questions and uncertainties on the part of the owners of areas intercepted by power transmission lines, in short, due to the depreciation of the market value of the property. In this sense, this research critically analyzes the impact caused by the right of way of power transmission lines on servant properties in the North of the State of Santa Catarina and highlights the importance of using the multipurpose technical register and integrated and shared spatial information as subsidies to carry out the planning works and carrying out effective management of the territory.

Com as variações climáticas abruptas nos últimos anos, são evidenciadas mudanças consideráveis nos locais passíveis de inundações. Cada enchente torna-se um modelo singular pelo motivo de atingir locais distintos e, consequentemente, altitudes diferentes. O problema abordado nesta pesquisa utiliza como área de estudo o município de Rio Negro no Estado do Paraná, sendo que parte dele é delimitado pelo Rio Negro. Na margem oposta ao Rio se situa o município catarinense de Mafra e é justamente nesta fronteira que ocorreram diversas inundações nas últimas décadas. O objetivo deste trabalho é definir uma tolerância altimétrica a ser utilizada em regiões suscetíveis a inundações, como é o caso da área de estudo definida, gerando um modelo geoidal local via nivelamento GNSS. Foram realizados trabalhos preliminares de nivelamento de precisão e rastreamento via GNSS, o que retornou valor médio de 0,26 m na diferença entre as altitudes obtidas pelo nivelamento geométrico e as altitudes obtidas através do nivelamento GNSS.