Cartographic accuracy of three DEMs available for the State of Santa Catarina

Bibliographic Details
Main Author: Pereira, Gustavo Eduardo
Publication Date: 2019
Other Authors: ten Caten, Alexandre
Format: Article
Language: por
Source: Revista de Ciências Agroveterinárias (Online)
Download full: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/13159
Summary: This study aims to present an independent evaluation of the potential of a digital elevation model (DEM/SC), generated by aerophotogrammetry, for applications requiring detailed datasets in the state of Santa Catarina. A total of 20 control points were collected and compared with elevation values derived from DEM/SC, SRTM v.4.1 and TOPODATA according to PEC-PCD. The DEM/SC met the requirements for the 1:10,000 scale in class C, while the DEM SRTM v.4.1 and TOPODATA fitted with the scale 1:50,000 classes A and B, respectively. The DEM/SC classification is consistent with that informed in the aerial survey report. Therefore, one recommends using the DEM/SC in studies and surveys that require detailed elevation datasets in the state of Santa Catarina.
id UDESC-10_2e02a9ece02348bbf66c8e5ed82c4710
oai_identifier_str oai::article/13159
network_acronym_str UDESC-10
network_name_str Revista de Ciências Agroveterinárias (Online)
repository_id_str
spelling Cartographic accuracy of three DEMs available for the State of Santa CatarinaExatidão cartográfica de três MDE disponíveis para o Estado de Santa Catarinageoprocessingremote sensingSRTMTOPODATAgeoprocessamentosensoriamento remotoSRTMTOPODATAThis study aims to present an independent evaluation of the potential of a digital elevation model (DEM/SC), generated by aerophotogrammetry, for applications requiring detailed datasets in the state of Santa Catarina. A total of 20 control points were collected and compared with elevation values derived from DEM/SC, SRTM v.4.1 and TOPODATA according to PEC-PCD. The DEM/SC met the requirements for the 1:10,000 scale in class C, while the DEM SRTM v.4.1 and TOPODATA fitted with the scale 1:50,000 classes A and B, respectively. The DEM/SC classification is consistent with that informed in the aerial survey report. Therefore, one recommends using the DEM/SC in studies and surveys that require detailed elevation datasets in the state of Santa Catarina.O presente estudo objetivou apresentar uma avaliação independente do potencial de um modelo digital de elevação (MDE/SC), gerado por aerofotogrametria, para aplicações as quais demandem escalas detalhadas no Estado de Santa Catarina. Foram coletados 20 pontos de controle e comparados com valores altimétricos derivados do MDE/SC, SRTM v.4.1 e TOPODATA conforme especificações da PEC-PCD. O MDE/SC atendeu aos requisitos da escala 1:10.000 na classe C, enquanto os MDE SRTM v.4.1 e TOPODATA foram enquadrados na escala 1:50.000 classes A e B, respectivamente. A classificação do MDE/SC condiz com a informada no relatório do aerolevantamento e, assim, recomenda-se o emprego do MDE/SC em estudos e levantamentos os quais demandem escalas detalhadas no Estado de Santa Catarina.Universidade do Estado de Santa Catarina2019-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.udesc.br/index.php/agroveterinaria/article/view/1315910.5965/223811711812019258Revista de Ciências Agroveterinárias; Vol. 18 No. 2 (2019); 258-262Revista de Ciências Agroveterinárias; v. 18 n. 2 (2019); 258-2622238-1171reponame:Revista de Ciências Agroveterinárias (Online)instname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCporhttps://periodicos.udesc.br/index.php/agroveterinaria/article/view/13159/pdfCopyright (c) 2019 Revista de Ciências Agroveterinárias (Journal of Agroveterinary Sciences)info:eu-repo/semantics/openAccessPereira, Gustavo Eduardoten Caten, Alexandre2022-05-19T15:52:05Zoai::article/13159Revistahttps://periodicos.udesc.br/index.php/agroveterinaria/PUBhttps://periodicos.udesc.br/index.php/agroveterinaria/oairca.cav@udesc.br | portal.periodicos@udesc.brhttps://doi.org/10.5965/223811712238-11711676-9732opendoar:2022-05-19T15:52:05Revista de Ciências Agroveterinárias (Online) - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv Cartographic accuracy of three DEMs available for the State of Santa Catarina
Exatidão cartográfica de três MDE disponíveis para o Estado de Santa Catarina
title Cartographic accuracy of three DEMs available for the State of Santa Catarina
spellingShingle Cartographic accuracy of three DEMs available for the State of Santa Catarina
Pereira, Gustavo Eduardo
geoprocessing
remote sensing
SRTM
TOPODATA
geoprocessamento
sensoriamento remoto
SRTM
TOPODATA
title_short Cartographic accuracy of three DEMs available for the State of Santa Catarina
title_full Cartographic accuracy of three DEMs available for the State of Santa Catarina
title_fullStr Cartographic accuracy of three DEMs available for the State of Santa Catarina
title_full_unstemmed Cartographic accuracy of three DEMs available for the State of Santa Catarina
title_sort Cartographic accuracy of three DEMs available for the State of Santa Catarina
author Pereira, Gustavo Eduardo
author_facet Pereira, Gustavo Eduardo
ten Caten, Alexandre
author_role author
author2 ten Caten, Alexandre
author2_role author
dc.contributor.author.fl_str_mv Pereira, Gustavo Eduardo
ten Caten, Alexandre
dc.subject.por.fl_str_mv geoprocessing
remote sensing
SRTM
TOPODATA
geoprocessamento
sensoriamento remoto
SRTM
TOPODATA
topic geoprocessing
remote sensing
SRTM
TOPODATA
geoprocessamento
sensoriamento remoto
SRTM
TOPODATA
description This study aims to present an independent evaluation of the potential of a digital elevation model (DEM/SC), generated by aerophotogrammetry, for applications requiring detailed datasets in the state of Santa Catarina. A total of 20 control points were collected and compared with elevation values derived from DEM/SC, SRTM v.4.1 and TOPODATA according to PEC-PCD. The DEM/SC met the requirements for the 1:10,000 scale in class C, while the DEM SRTM v.4.1 and TOPODATA fitted with the scale 1:50,000 classes A and B, respectively. The DEM/SC classification is consistent with that informed in the aerial survey report. Therefore, one recommends using the DEM/SC in studies and surveys that require detailed elevation datasets in the state of Santa Catarina.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.udesc.br/index.php/agroveterinaria/article/view/13159
10.5965/223811711812019258
url https://periodicos.udesc.br/index.php/agroveterinaria/article/view/13159
identifier_str_mv 10.5965/223811711812019258
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.udesc.br/index.php/agroveterinaria/article/view/13159/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2019 Revista de Ciências Agroveterinárias (Journal of Agroveterinary Sciences)
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Revista de Ciências Agroveterinárias (Journal of Agroveterinary Sciences)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Estado de Santa Catarina
publisher.none.fl_str_mv Universidade do Estado de Santa Catarina
dc.source.none.fl_str_mv Revista de Ciências Agroveterinárias; Vol. 18 No. 2 (2019); 258-262
Revista de Ciências Agroveterinárias; v. 18 n. 2 (2019); 258-262
2238-1171
reponame:Revista de Ciências Agroveterinárias (Online)
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Revista de Ciências Agroveterinárias (Online)
collection Revista de Ciências Agroveterinárias (Online)
repository.name.fl_str_mv Revista de Ciências Agroveterinárias (Online) - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv rca.cav@udesc.br | portal.periodicos@udesc.br
_version_ 1842261008945512448

Similar Items