@InProceedings{RodriguesRodTagTraCam:2017:MéLeTo,
author = "Rodrigues, Bruno Tim{\'o}teo and Rodrigues, Mikael Tim{\'o}teo
and Tagliarini, Felipe de Souza Nogueira and Traficante, Daniela
Polizeli and Campos, S{\'e}rgio",
title = "M{\'e}todos de levantamentos topogr{\'a}ficos por sensores de
radar da bacia hidrogr{\'a}fica do Rio Capivara, Botucatu-SP",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7992--7999",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "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.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59553",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMGPR",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGPR",
targetfile = "59553.pdf",
type = "Mapeamento",
urlaccessdate = "27 abr. 2024"
}