OPTIMIZATION MEASURES OF ENTROPY LANDSCAPE GRANT AS THE ENVIRONMENTAL PLANNING - REGION OF GOIÂNIA – GOIÁS/BRAZIL

Authors

  • Elizon Dias Nunes Universidade Federal de Goiás
  • Patricia Araújo Romão Universidade Federal de Goiás
  • Nilson Clementino Ferreira CEFET/GO

DOI:

https://doi.org/10.5216/bgg.v28i2.5728

Abstract

It presents a review of the concept of entropy, its application in the study of relief and a routine for calculating the matrix with different configurations and spatial resolution of the Digital Elevation Model through geoprocessing of resources in order to subsidize the environmental planning. The methodology was to use the formula for calculating the entropy applied to a square matrix of convolution of n x n cells of the DEM, in which a central cell was classified taking into account the likelihood that the same place in the surrounding area by DEM through the service of operations neighborhood developed in the program ArcGIS 9.2 through programming in SQL (Structured Query of Language). It included the development and correlation of the letters of hypsometric, slope, curvature of the profile and the flat parts. It can perform the calculation of entropy of relief in different configurations and different array of spatial resolutions of the DEM at appropriate features of the terrain being, the tool developed, ready to be used in the calculation of entropy in other areas for using both curves level or a Digital Elevation Model. Although the letter of entropy was also relevant in the characterization of diversity altimetry, allowing separate areas with different classes of dissection auxiliary in understanding the ways of relief.

Downloads

Download data is not yet available.

Published

2009-03-12

How to Cite

DIAS NUNES, E.; ARAÚJO ROMÃO, P.; CLEMENTINO FERREIRA, N. OPTIMIZATION MEASURES OF ENTROPY LANDSCAPE GRANT AS THE ENVIRONMENTAL PLANNING - REGION OF GOIÂNIA – GOIÁS/BRAZIL. Goiano Bulletin of Geography, Goiânia, v. 28, n. 2, p. 125–140, 2009. DOI: 10.5216/bgg.v28i2.5728. Disponível em: https://revistas.ufg.br/bgg/article/view/5728. Acesso em: 23 dec. 2024.