Determination of soil volume by planialtimetric survey methods

Detalhes bibliográficos
Autor(a) principal: Vanzela, Luiz S.
Data de Publicação: 2020
Outros Autores: Araujo, Osvaldo [UNESP], Lima, Ronaldo C. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020
http://hdl.handle.net/11449/201863
Resumo: Considering the importance of topographic surveys to determine soil volumes and study efficient and accessible alternatives for this operation, this study aimed to analyze methods and respective equipment for planialtimetric surveys to determine soil volume. An experimental grid was installed in an area locate in Fernandopolis, SP, Brazil, in which quotas were measured by geometric leveling (standard method), trigonometric leveling, leveling with receivers of the Global Navigation Satellite System (GNSS) by relative (frequencies L1/L2) and absolute positioning (code C/A) and extraction of altitudes in digital terrain model from SRTM and ASTER images. In comparison to geometric leveling, trigonometric leveling was the most accurate in determining soil volume (0.6% error), followed by GNSS leveling by relative positioning (23.7% error), and extraction of altitudes by SRTM (32.0% error) and ASTER images (38.3% error). GNSS leveling by absolute positioning presented the highest error in determining soil volume (287.4%) compared to the other methods.
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spelling Determination of soil volume by planialtimetric survey methodsGeomaticsGeometric levelingGNSSTrigonometric levelingConsidering the importance of topographic surveys to determine soil volumes and study efficient and accessible alternatives for this operation, this study aimed to analyze methods and respective equipment for planialtimetric surveys to determine soil volume. An experimental grid was installed in an area locate in Fernandopolis, SP, Brazil, in which quotas were measured by geometric leveling (standard method), trigonometric leveling, leveling with receivers of the Global Navigation Satellite System (GNSS) by relative (frequencies L1/L2) and absolute positioning (code C/A) and extraction of altitudes in digital terrain model from SRTM and ASTER images. In comparison to geometric leveling, trigonometric leveling was the most accurate in determining soil volume (0.6% error), followed by GNSS leveling by relative positioning (23.7% error), and extraction of altitudes by SRTM (32.0% error) and ASTER images (38.3% error). GNSS leveling by absolute positioning presented the highest error in determining soil volume (287.4%) compared to the other methods.Universidade BrasilUNESP/ FCA Faculdade de Ciência Agronômicas-Campus de BotucatuUNESP FCAT Faculdade de Ciência Agrárias e TecnológicasUNESP/ FCA Faculdade de Ciência Agronômicas-Campus de BotucatuUNESP FCAT Faculdade de Ciência Agrárias e TecnológicasUniversidade BrasilUniversidade Estadual Paulista (Unesp)Vanzela, Luiz S.Araujo, Osvaldo [UNESP]Lima, Ronaldo C. [UNESP]2020-12-12T02:43:47Z2020-12-12T02:43:47Z2020-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article207-214application/pdfhttp://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020Engenharia Agricola, v. 40, n. 2, p. 207-214, 2020.1808-43890100-6916http://hdl.handle.net/11449/20186310.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020S0100-691620200002002072-s2.0-85086321606S0100-69162020000200207.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricolainfo:eu-repo/semantics/openAccess2024-05-07T13:47:36Zoai:repositorio.unesp.br:11449/201863Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-07T13:47:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Determination of soil volume by planialtimetric survey methods
title Determination of soil volume by planialtimetric survey methods
spellingShingle Determination of soil volume by planialtimetric survey methods
Vanzela, Luiz S.
Geomatics
Geometric leveling
GNSS
Trigonometric leveling
title_short Determination of soil volume by planialtimetric survey methods
title_full Determination of soil volume by planialtimetric survey methods
title_fullStr Determination of soil volume by planialtimetric survey methods
title_full_unstemmed Determination of soil volume by planialtimetric survey methods
title_sort Determination of soil volume by planialtimetric survey methods
author Vanzela, Luiz S.
author_facet Vanzela, Luiz S.
Araujo, Osvaldo [UNESP]
Lima, Ronaldo C. [UNESP]
author_role author
author2 Araujo, Osvaldo [UNESP]
Lima, Ronaldo C. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Brasil
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Vanzela, Luiz S.
Araujo, Osvaldo [UNESP]
Lima, Ronaldo C. [UNESP]
dc.subject.por.fl_str_mv Geomatics
Geometric leveling
GNSS
Trigonometric leveling
topic Geomatics
Geometric leveling
GNSS
Trigonometric leveling
description Considering the importance of topographic surveys to determine soil volumes and study efficient and accessible alternatives for this operation, this study aimed to analyze methods and respective equipment for planialtimetric surveys to determine soil volume. An experimental grid was installed in an area locate in Fernandopolis, SP, Brazil, in which quotas were measured by geometric leveling (standard method), trigonometric leveling, leveling with receivers of the Global Navigation Satellite System (GNSS) by relative (frequencies L1/L2) and absolute positioning (code C/A) and extraction of altitudes in digital terrain model from SRTM and ASTER images. In comparison to geometric leveling, trigonometric leveling was the most accurate in determining soil volume (0.6% error), followed by GNSS leveling by relative positioning (23.7% error), and extraction of altitudes by SRTM (32.0% error) and ASTER images (38.3% error). GNSS leveling by absolute positioning presented the highest error in determining soil volume (287.4%) compared to the other methods.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:43:47Z
2020-12-12T02:43:47Z
2020-03-01
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/10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020
Engenharia Agricola, v. 40, n. 2, p. 207-214, 2020.
1808-4389
0100-6916
http://hdl.handle.net/11449/201863
10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020
S0100-69162020000200207
2-s2.0-85086321606
S0100-69162020000200207.pdf
url http://dx.doi.org/10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020
http://hdl.handle.net/11449/201863
identifier_str_mv Engenharia Agricola, v. 40, n. 2, p. 207-214, 2020.
1808-4389
0100-6916
10.1590/1809-4430-ENG.AGRIC.V40N2P207-214/2020
S0100-69162020000200207
2-s2.0-85086321606
S0100-69162020000200207.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engenharia Agricola
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 207-214
application/pdf
dc.source.none.fl_str_mv Scopus
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_ 1803650044043198464

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