Navegando por Assunto "Geoprocessing"

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Capítulo de livro
Application of Multi-criteria Analysis to Evaluate the Potential for the Occurrence of Cavities in Serra do Gandarela and Presentation in 3D Geological Modeling Software
(2022-07-15) Laranjeira, Jonas de Oliveira; Aleixo, Diogo Sepe; Henriques, Andréia Bicalho; Casagrande, Pedro Benedito; Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O.
The study of cavities and their areas of influence for purposes of environmental intervention has gained increasing relevance in Brazilian legislation. Serra do Gandarela is a geomorphological site, located in the State of Minas Gerais, which concentrates a large amount of speleological features, in addition to mineral resources. This article seeks to present multi-criteria analysis techniques in a GIS environment to measure the potential for the occurrence of cavities in the region in order to arrive at a map of the speleological potential of the site. The result will then be superimposed on a geological model developed for the region, in order to be able to observe transversal profiles in order to correlate the results considering the imputed geological and geomorphological factors. The importance of the analysis carried out is to expose the areas with the highest concentration of factors favorable to the development of cavities in regions close to mining activities, with the objective of guiding mining activities in a less harmful way to the environment. The suggestion of presentation in 3D platform is made to allow a more dynamic observation in addition to highlighting topographic and slope factors.
Texto publicado em jornal
Assessment of a semi-automatic spatial analysis method to identify and map sinkholes in the Carste Lagoa Santa environmental protection unit, Brazil
(2021-01-21) de Castro Tayer, Thiaggo; Horta Rodrigues, Paulo César
Satellite imaging combined with geoprocessing routines is a promising alternative to establish a viable mapping model of specific landscape features and soil use, with high precision, fast results, and low operational costs. The present study examines the employment of a digital elevation model (DEM) combined with geoprocessing techniques for identifying closed depressions in karst landscapes with the objective of mapping potential sinkholes and uvalas within the limits of the Carste Lagoa Santa Environmental Protection Unit, located in the state of Minas Gerais, Brazil. The proposed method consists of using geoprocessing routines combined with DEMs, topographic analysis, individual points of elevation, and mathematical operations between rasters. To accomplish that, SRTM (Shuttle Radar Topographic Mission) data/images were used to extract contour lines and individual elevation points to identify depressions, delimit their edges, and obtain morphometric data referring to the area, perimeter, and their circularity index. The results were satisfactory, allowing the detection of 1076 depressions within the study area. The results were also analyzed for special morphological cases and circularity patterns and compared with a previous study. Field campaigns allowed the partial validation of the method, which proved to be a viable alternative for preliminary and extensive scale mapping of these important karst recharge features.
Artigo
Assessment of a semi-automatic spatial analysis method to identify and map sinkholes in the Carste Lagoa Santa environmental protection unit, Brazil
(2021-01-21) Tayer, Thiaggo de Castro; Rodrigues, Paulo César Horta
Satellite imaging combined with geoprocessing routines is a promising alternative to establish a viable mapping model of specific landscape features and soil use, with high precision, fast results, and low operational costs. The present study examines the employment of a digital elevation model (DEM) combined with geoprocessing techniques for identifying closed depressions in karst landscapes with the objective of mapping potential sinkholes and uvalas within the limits of the Carste Lagoa Santa Environmental Protection Unit, located in the state of Minas Gerais, Brazil. The proposed method consists of using geoprocessing routines combined with DEMs, topographic analysis, individual points of elevation, and mathematical operations between rasters. To accomplish that, SRTM (Shuttle Radar Topographic Mission) data/images were used to extract contour lines and individual elevation points to identify depressions, delimit their edges, and obtain morphometric data referring to the area, perimeter, and their circularity index. The results were satisfactory, allowing the detection of 1076 depressions within the study area. The results were also analyzed for special morphological cases and circularity patterns and compared with a previous study. Field campaigns allowed the partial validation of the method, which proved to be a viable alternative for preliminary and extensive scale mapping of these important karst recharge features.