Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1415-43662012000600010 http://hdl.handle.net/11449/39751 |
Resumo: | The digital elevation model is important to determine the slope and land use capability, therefore, a proposal of methodology for acquisition of elevation data contemplating an efficient algorithm to generate a slope map was developed. Thus, it was aimed to obtain and evaluate a digital elevation model without the vetorization of the contours on planialtimetric charts. The area for acquisition of elevation data was Sao Manuel, SP. The data were collected by two methods: level contour vetorization and the gathering of elevation points on the level contour with maximum elevation points. The elevation data were analyzed by geostatistical techniques. Inspite of wide difference in the number of collected points between two methods, the variograms were adjusted to the exponential model and showed a range of approximately 1500 m, which does not justify the wide difficulty in vetorization of the planialtimetric charts, once the data points collected in the area were appropriately distributed, they represented rightly the terrain surface. |
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Repositório Institucional da UNESP |
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Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricasDigital terrain model obtained by different methods in planialtimetric chartsinterpolationkrigingslopeThe digital elevation model is important to determine the slope and land use capability, therefore, a proposal of methodology for acquisition of elevation data contemplating an efficient algorithm to generate a slope map was developed. Thus, it was aimed to obtain and evaluate a digital elevation model without the vetorization of the contours on planialtimetric charts. The area for acquisition of elevation data was Sao Manuel, SP. The data were collected by two methods: level contour vetorization and the gathering of elevation points on the level contour with maximum elevation points. The elevation data were analyzed by geostatistical techniques. Inspite of wide difference in the number of collected points between two methods, the variograms were adjusted to the exponential model and showed a range of approximately 1500 m, which does not justify the wide difficulty in vetorization of the planialtimetric charts, once the data points collected in the area were appropriately distributed, they represented rightly the terrain surface.FCA UNESP, BR-18610307 Botucatu, SP, BrazilFCA UNESP, BR-18610307 Botucatu, SP, BrazilUniversidade Federal da Paraíba (UFPB) CcsaUniversidade Estadual Paulista (Unesp)Barbosa, Ana P. [UNESP]da Silva, Alessandra F. [UNESP]Zimback, Célia Regina Lopes [UNESP]2014-05-20T15:30:21Z2014-05-20T15:30:21Z2012-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article655-660http://dx.doi.org/10.1590/S1415-43662012000600010Revista Brasileira de Engenharia Agricola E Ambiental. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 16, n. 6, p. 655-660, 2012.1415-4366http://hdl.handle.net/11449/39751WOS:000310694700010Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Engenharia Agrícola e Ambiental0,541info:eu-repo/semantics/openAccess2024-04-30T19:29:12Zoai:repositorio.unesp.br:11449/39751Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:14:43.212319Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas Digital terrain model obtained by different methods in planialtimetric charts |
title |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
spellingShingle |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas Barbosa, Ana P. [UNESP] interpolation kriging slope |
title_short |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
title_full |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
title_fullStr |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
title_full_unstemmed |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
title_sort |
Modelo numérico do terreno obtido por diferentes métodos em cartas planialtimétricas |
author |
Barbosa, Ana P. [UNESP] |
author_facet |
Barbosa, Ana P. [UNESP] da Silva, Alessandra F. [UNESP] Zimback, Célia Regina Lopes [UNESP] |
author_role |
author |
author2 |
da Silva, Alessandra F. [UNESP] Zimback, Célia Regina Lopes [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Barbosa, Ana P. [UNESP] da Silva, Alessandra F. [UNESP] Zimback, Célia Regina Lopes [UNESP] |
dc.subject.por.fl_str_mv |
interpolation kriging slope |
topic |
interpolation kriging slope |
description |
The digital elevation model is important to determine the slope and land use capability, therefore, a proposal of methodology for acquisition of elevation data contemplating an efficient algorithm to generate a slope map was developed. Thus, it was aimed to obtain and evaluate a digital elevation model without the vetorization of the contours on planialtimetric charts. The area for acquisition of elevation data was Sao Manuel, SP. The data were collected by two methods: level contour vetorization and the gathering of elevation points on the level contour with maximum elevation points. The elevation data were analyzed by geostatistical techniques. Inspite of wide difference in the number of collected points between two methods, the variograms were adjusted to the exponential model and showed a range of approximately 1500 m, which does not justify the wide difficulty in vetorization of the planialtimetric charts, once the data points collected in the area were appropriately distributed, they represented rightly the terrain surface. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-06-01 2014-05-20T15:30:21Z 2014-05-20T15:30:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/S1415-43662012000600010 Revista Brasileira de Engenharia Agricola E Ambiental. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 16, n. 6, p. 655-660, 2012. 1415-4366 http://hdl.handle.net/11449/39751 WOS:000310694700010 |
url |
http://dx.doi.org/10.1590/S1415-43662012000600010 http://hdl.handle.net/11449/39751 |
identifier_str_mv |
Revista Brasileira de Engenharia Agricola E Ambiental. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 16, n. 6, p. 655-660, 2012. 1415-4366 WOS:000310694700010 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental 0,541 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
655-660 |
dc.publisher.none.fl_str_mv |
Universidade Federal da Paraíba (UFPB) Ccsa |
publisher.none.fl_str_mv |
Universidade Federal da Paraíba (UFPB) Ccsa |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129177916801024 |