Avaliação de modelos digitais de elevação para estudos geoecológicos no maciço da Pedra Branca, Rio de Janeiro, Brasil

Abstract

Geoprocessing tools have been increasingly used to support the integrated study of geoecological variables, once they allow fast and efficient analysis. One of the products generated by geoprocessing of great importance do analysis that considerate the real surface of the terrain is the Digital Elevation Model (DEM). The consideration of the real surface is essential for the correct calculation of volumes, areas and distances, parameters of great importance for geomorfological indicators. There are many kinds of methods to generate this models and no consensus about which method has the best results, once it's precision will depend on characteristics of the study area. This work aims to compare the different DEM generation methods for irregular relief areas, using the Pedra Branca massif, RJ, as study area. It has been generated DEMs by two different interpolation methods and grids: one based in rectangular regular grid (TOPOGRID) and the interpolation method of Delaunay constrained, based in triangular irregular network (TIN), both generated in the software ArcGIS 9.2. For the verification of the quality and altimetric precision of these models, it has been utilized a map of declivities generated from the triangular irregular network model. Results show that the more adequate method for the study area is the TOPOGRID. However, it has been noted that this behavior is unequally distributed along its declivities classes, and it's errors are bigger in the great declivities, where the TIN model has been more efficient.

Validação Da Acurácia Posicional De Imagens Cbers-4a Em Contexto Urbano

“…O PEC-PEC foi aplicado utilizando um total de 100 pontos de controle homogeneamente distribuídos na bacia da Prosa (Figura 1). Destaca-se que os alvos urbanos selecionados são cantos de edificação, pois, em geral, apresentam regularidade geométrica o Brasil (SOUZA et al, 2009;LOUSADA & FERNANDES, 2017;MARINI et al, 2017;OLIVEIRA et al, 2018;PEREIRA et al, 2019;MACHADO et al, 2019;.…”

“…O PEC-PCD verifica a acurácia das coordenadas planimétricas e altimétricas dos produtos cartográficos. Diversos trabalhos caracterizam a qualidade geométrica de imagens orbitais aplicando o conceito de PEC-PCD (XAVIER et al 2020;BARBOSA et al (2017;SOUZA et al 2009;LOUSADA & FERNANDES, 2017;MARINI et al 2017;MACHADO et al 2019;PINHEIRO et al 2019;PEREIRA et al 2019;CARIS et al 2020).…”