GEOSPATIALIZATION OF GEOREFERENCED DATA AND SURFACE GEOLOGY: A CASE STUDY MUNICIPALITY OF CAÇADOR / SC

GEOSPATIALIZATION OF GEOREFERENCED DATA AND SURFACE GEOLOGY: A CASE STUDY MUNICIPALITY OF CAÇADOR / SC

Authors

  • Nayana Rosa Coelho
  • Gabriel Tessari Gomes
  • Rodrigo Vitto Universidade Alto Vale do Rio do Peixe
  • Pedro Paulo Baruffi Universidade Alto Vale do Rio do Peixe
  • Liane da Silva Bueno Universidade Alto Vale do Rio do Peixe (UNIARP) https://orcid.org/0000-0003-0972-7719

Abstract

This article presents studies that started from the integration of the disciplines of the 4th phase of the Civil Engineering Course at the Alto Vale do Rio do Peixe University (UNIARP), campus Caçador / SC, such as Topography I, Geology and Computer Assisted Design. A project that proposed to substantiate the themes related to the elaboration of a map where the information of municipal places and geodesic stations belonging to the Brazilian network, georeferenced, aggregated to the predominant superficial geological characteristic, were represented. This work was developed through an applied methodology, based on bibliographic research, of qualitative character, with case study. Therefore, the municipality of Caçador, located in the midwest region of the state of Santa Catarina, was sought as a study area. The coordinates of the geodesic points that are in good condition in the municipality, streets and sub-district were used, obtained through the IBGE database for the development of the map. The QGIS and ProGRID software allowed the files to be converted, so that they were compatible with the AutoCAD software. Therefore, the transformation of the geodetic points to UTM coordinates was carried out, and the conversion of the street and sub-district meshes to the DXF format, integrating them from the geospatialization, the points with the street mesh in the context of the delimitation of the subdistrict. In conclusion, a map was obtained at an appropriate scale, including the predominant geological characteristic, based on the potential of the information involved, in order to contribute both to the visualization of the data and to further studies and projects by academics and professionals from engineering areas and related areas.

Author Biographies

Nayana Rosa Coelho

Acadêmica do Curso de Engenharia Civil da Universidade Alto Vale do Rio do Peixe (UNIARP), campus Caçador, Santa Catarina , Brasil.

Gabriel Tessari Gomes

Academic of the Civil Engineering Course at the Alto Vale do Rio do Peixe University (UNIARP),
campus Caçador, Santa Catarina, Brazil.

Rodrigo Vitto, Universidade Alto Vale do Rio do Peixe

Specialist in Industrial Automation by the Faculty of Technology SENAI of Florianópolis.
Teachter of the Civil Engineering Course at UNIARP. Campus Hunter. Santa Catarina Brazil.

Pedro Paulo Baruffi, Universidade Alto Vale do Rio do Peixe

Master by the Interdisciplinary Graduate Program in Development and Society at UNIARP.
Professor of the Civil Engineering Course at the University of Alto Vale do Rio do Peixe
(UNIARP), campus Caçador. Santa Catarina Brazil.

Liane da Silva Bueno, Universidade Alto Vale do Rio do Peixe (UNIARP)

Doutora em Engenharia de Produção e Mestre em Engenharia Civil pela Universidade Federal de Santa Catarina(UFSC). Bachareal em Engenharia Civil pela Universidade Católica de Pelotas/RS(UCPEL).

Published

2020-08-30

Issue

Section

Artigos