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Morphometric analysis of the Serra do Sincorá Geopark, using remote sensing and GIS

Veiga AJP;
Bernardes ES;
Veiga DAM;
Bonfim IFS;
Portela JS;
Silva FS

Artur José Pires Veiga

Eduardo Silveira Bernardes

Daniela Andrade Monteiro Veiga

Iris Fernanda Silva Bonfim

Jaqueline Silva Portela

Fabiana Santos Silva


Resumen

The study analyzed the morphometric characteristics of the Chapada Diamantina relief, covering Andaraí, Mucugê, Lençóis and Palmeiras municipalities, which delimits the mountain range of Sincorá, a geopark proposal to be submitted to UNESCO in the coming years. The works were carried out at the Technical Drawing Laboratory in UESB (Universidade Estadual do Sudoeste da Bahia), using Remote Sensing and GIS (Geographic Information System). The orbital database used in raster format are the SRTM (Shuttle Radar Topograph System) elevation data with a grid of 30x30 meters and images from the LANDSAT 8 satellite, with a spatial resolution of 30 meters, bands 4-5-6, available in the USGS (United States Geological Survey) website service. Data in vector format were obtained from websites of Brazilian official institutes (EMBRAPA, IBGE, CPRM, MMA). The analysis first allowed to infer that the mountain range of Sincorá is oriented predominantly in the SW-NE direction, with 32 percent of its relief in this orientation; other alignments correspond to 19-12 percent of the total. Considering the altimetry, the predominant values were for elevations from 300 to 1300 meters, in 95% of the total area, although the maximum value found was 1700 meters of altitude. The relief was distributed as apartment surface, gently undulating, undulating, strongly undulating, mountainous and steep classes. The morphometric data of the relief were produced in 3D modeling, represented with texture from satellite images, grayscale, hypsometry, slope, shaded image and exposure of slopes, with spatial analysis. The results are expected to allow other researchers and technicians to work their planning and management actions with them, especially those from the region of geopark proposal.

 

DOI: https://doi.org/10.56238/colleinternhealthscienv1-041


Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Derechos de autor 2023 Artur José Pires Veiga, Eduardo Silveira Bernardes, Daniela Andrade Monteiro Veiga, Iris Fernanda Silva Bonfim, Jaqueline Silva Portela, Fabiana Santos Silva

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  • Artur José Pires Veiga
  • Eduardo Silveira Bernardes
  • Daniela Andrade Monteiro Veiga
  • Iris Fernanda Silva Bonfim
  • Jaqueline Silva Portela
  • Fabiana Santos Silva