%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.34.53
%2 sid.inpe.br/marte2/2017/10.27.16.34.54
%@isbn 978-85-17-00088-1
%F 59553
%T Métodos de levantamentos topográficos por sensores de radar da bacia hidrográfica do Rio Capivara, Botucatu-SP
%D 2017
%A Rodrigues, Bruno Timóteo,
%A Rodrigues, Mikael Timóteo,
%A Tagliarini, Felipe de Souza Nogueira,
%A Traficante, Daniela Polizeli,
%A Campos, Sérgio,
%@electronicmailaddress brunogta21@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 7992-7999
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The objective of the present study was to analyze the quality and accuracy of the data generated byradar sensors, which offer the Digital Elevation Model (MDE) and its local derivations, comparing by means ofthe Kappa index its accuracy to the topographic truth Of the catchment area of the Capivara watershed. Adetailed analysis was performed to detect, improve, validate and correct some errors related to the altimetricdimensions belonging to the respective level curves, where the TIN interpolation tool (irregular mesh oftriangulation) was applied, thus generating the Digital Elevation Model (MDE) in matrix format representing theEarth Truth. The TOPODATA database altimetry MDE was imported into the QGIS 2.2.0 software, isolating theareas of real interest, resulting in a new representative matrix file for crossing the matrix of confusion andvalidation through the Kappa Index. Some places with flat relief, such as the case of classes 1 and 2,TOPODATA presented some overestimations of the topographic classes and, in relation to areas with ruggedrelief and marked slope, the data analyzed showed an underestimation of the topographic classes. Based on theresults obtained, the evaluation of the accuracy of TOPODATA processed to the Topographical Truth of theCapivara watershed presents a MDT of good classification with more than 50%, which enables such a productas an economically feasible and fast alternative for mapping and environmental modeling.
%9 Mapeamento
%@language pt
%3 59553.pdf