Validação de modelos digitais de superfícies a partir da integração de bancos de dados geográficos

The preoccupation with the disposal of solid waste is associated with environmental quality, which justifies the development of research regarding the sustainability and maintenance of water resources' quality. In this perspective, the objective of this paper was to validate different Digital S...

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Detalles Bibliográficos
Autor: MACHADO, Vagner Souza
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade do Oeste Paulista (UNOESTE)
Repositorio:Biblioteca Digital de Teses e Dissertações da UNOESTE
Idioma:portugués
OAI Identifier:oai:bdtd.unoeste.br:jspui/1358
Acceso en línea:http://bdtd.unoeste.br:8080/jspui/handle/jspui/1358
Access Level:acceso abierto
Palabra clave:Controle de qualidade
Acurácia vertical
Padrão de Exatidão Cartográfica
Banco de dados geográfico
Quality control
Vertical accuracy
Cartographic Accuracy Standard
Geographic Database
OUTROS::CIENCIAS
Descripción
Sumario:The preoccupation with the disposal of solid waste is associated with environmental quality, which justifies the development of research regarding the sustainability and maintenance of water resources' quality. In this perspective, the objective of this paper was to validate different Digital Surface Models (DSM) by applying the concept of Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD). Traditionally the evaluation of DSM is performed with checkpoints collected in the field. However, this is an expensive approach, hence, a few samples are used in most cases. In this sense, the quality of the data available by the free online platform of SIGEF (Land Management System), used as the source of reference data in the validation of an MDS, was investigated. In this manuscript it was concluded that the SIGEF database can be a viable alternative to be incorporated in studies of validation of vertical accuracy of MDS, as it allows the densification of verification points, reducing the need for field surveys. Still, it is necessary to filter this data before starting the validation process. Here, a novel method was also developed to integrate the SIGEF and ITESP Foundation databases in the validation of MDS SRTM-v3, ALOS-Palsar, ASTER GDEM2, and Bare-Earth SRTM, resulting in the second manuscript, where It was observed that DSM ALOS-Palsar is the most accurate for the study area, followed by DSM v3 SRTM, both being shown for the elaboration of products in the 1:50.000 scale.