INTEGRAÇÃO DO BANCO DE DADOS DO SIGEF E DA FUNDAÇÃO ITESP PARA VALIDAÇÃO DA ACURÁCIA VERTICAL DE MODELOS DIGITAIS DE SUPERFÍCIE

The geometric reliability of Digital Surface Model (DSM) affects the quality of the products generated from it. As a continuation of the research already started and published by Machado et al. (2019), in this paper, we propose the assessment of the vertical accuracy of free-available MDS, using a l...

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Detalles Bibliográficos
Autores: Souza Machado, Vagner, Kerriany Gonçalves de Souza, Mariany, Prado Osco, Lucas, Marcato Junior, José, Paula Marques Ramos, Ana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade Federal de Uberlândia (UFU)
Repositorio:Caminhos de Geografia
Idioma:portugués
OAI Identifier:oai:ojs.www.seer.ufu.br:article/51178
Acceso en línea:https://seer.ufu.br/index.php/caminhosdegeografia/article/view/51178
Access Level:acceso abierto
Palabra clave:Controle de qualidade
Produção cartográfica
Banco de dados geográfico
Quality control
Cartographic production
Geographic Database
Descripción
Sumario:The geometric reliability of Digital Surface Model (DSM) affects the quality of the products generated from it. As a continuation of the research already started and published by Machado et al. (2019), in this paper, we propose the assessment of the vertical accuracy of free-available MDS, using a large set of points from the Land Management System (SIGEF) and the São Paulo State Land Institute (ITESP) databases. The validation was applied in the following models: DSM v3 SRTM, ALOS-Palsar, ASTER GDEM2 and Bare-Earth SRTM. The initial set of points acquired was subjected to systematic filtering and removal of outliers following recent literature recommendations. The quality control of the DSM was based on the Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD). It was concluded that DSM ALOS-Palsar is the most accurate for the study area, followed by DSM v3 SRTM, both being indicated for the elaboration of products in the 1:50.000 scale. Similar studies could be applied for other regions of Brazil to demonstrate the quality of the MDS currently available and to contribute to vertical quality control of these data.