GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT
Autor(a) principal: | |
---|---|
Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/1763 |
Resumo: | This purpose of this research was to apply geoprocessing techniques for data acquisition, preparation, georeference, and display for assessing quality standards of forest roads and mapping critical points of the timber transportation, which contribute to support the development of a pavement preventive and ordinary maintenance program. First, the road pavement integrity and condition were assessed by conducting a continuous survey on road defects and estimating the NPRCI (Non-Paved Road Condition Index). The georeferenced dataset, the sampling unit’s allocation, and the road network spatial location were conducted using satellite (CBERS-II) and SRTM imagery and GPS field data. The road identification and the assessment of pavement condition were based on a detailed field survey, which revealed the road pavement conditions and derived useful supporting information regarding the most critical parts of the forest road and its defect severity, also pointing out practical measures to fix them, estimating costs for the required road maintenance. The Geoprocessing techniques, GPS, remote sensing dataset, and GIS showed to be efficient tools for identifying, mapping, and quantifying this natural phenomenon in the region being studied and may support the definition of maintenance program of non-paved forest roads. Results showed that the GIS could integrate the dataset containing standards of forest road ordinary operation and maintenance to a geographic database, which subsequently allowed to georeference, manipulate, and display this information on thematic maps. |
id |
UFSM-6_46da55bad84f02e73afcb10f2e2e2eef |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/1763 |
network_acronym_str |
UFSM-6 |
network_name_str |
Ciência Florestal (Online) |
repository_id_str |
|
spelling |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENTGeoprocessamento como ferramenta de apoio à gerência de pavimentos em estradas florestais.geoprocessingforest roadsmanagement.geoprocessamentoestradas florestaisgerênciaThis purpose of this research was to apply geoprocessing techniques for data acquisition, preparation, georeference, and display for assessing quality standards of forest roads and mapping critical points of the timber transportation, which contribute to support the development of a pavement preventive and ordinary maintenance program. First, the road pavement integrity and condition were assessed by conducting a continuous survey on road defects and estimating the NPRCI (Non-Paved Road Condition Index). The georeferenced dataset, the sampling unit’s allocation, and the road network spatial location were conducted using satellite (CBERS-II) and SRTM imagery and GPS field data. The road identification and the assessment of pavement condition were based on a detailed field survey, which revealed the road pavement conditions and derived useful supporting information regarding the most critical parts of the forest road and its defect severity, also pointing out practical measures to fix them, estimating costs for the required road maintenance. The Geoprocessing techniques, GPS, remote sensing dataset, and GIS showed to be efficient tools for identifying, mapping, and quantifying this natural phenomenon in the region being studied and may support the definition of maintenance program of non-paved forest roads. Results showed that the GIS could integrate the dataset containing standards of forest road ordinary operation and maintenance to a geographic database, which subsequently allowed to georeference, manipulate, and display this information on thematic maps.O objetivo do trabalho foi utilizar as técnicas de geoprocessamento na aquisição, manipulação, espacialização e visualização de dados do padrão de qualidade de estradas florestais, e na confecção de mapas temáticos, com a identificação de pontos críticos para o transporte de madeira, servindo como subsídio para o desenvolvimento de um programa de manutenção preventivo e regular. Identificaram-se e avaliaram-se a integridade e as condições de operação de estradas florestais mediante levantamento contínuo de defeitos na superfície de rolamento e obtenção do ICRNP (índice de condição da rodovia não-pavimentada). A base de dados georreferenciada, a alocação das unidades amostra e a espacialização da rede viária foram obtidas com auxílio da imagem do satélite CBERS II, modelo de elevação do terreno SRTM, e GPS. A identificação e a avaliação das rodovias, por meio de levantamentos detalhados em campo, demonstraram as condições da superfície de rolamento das rodovias, gerando informações sobre os trechos mais críticos e a intensidade de cada defeito, apontando ainda ações e base de custos para manutenção das estradas florestais. As técnicas de geoprocessamento, GPS, sensoriamento remoto e SIG mostraram-se como eficientes ferramentas para a interpretação, qualificação e quantificação de fenômenos naturais da região de estudo e para auxílio na gerência de pavimentos das estradas florestais. O SIG integrou os dados referentes aos padrões de operação e manutenção das rodovias à base de dados georreferenciada, manipulando, espacializando e disponibilizando visualmente, por meio de mapas, as informações geradas.Universidade Federal de Santa Maria2010-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/176310.5902/198050981763Ciência Florestal; Vol. 20 No. 1 (2010); 81-94Ciência Florestal; v. 20 n. 1 (2010); 81-941980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/1763/1030Emmert, FabianoPereira, Reginaldo SérgioRezende, Alba ValériaEncinas, José Marcelo Imañasinfo:eu-repo/semantics/openAccess2017-05-08T11:26:36Zoai:ojs.pkp.sfu.ca:article/1763Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-05-08T11:26:36Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT Geoprocessamento como ferramenta de apoio à gerência de pavimentos em estradas florestais. |
title |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
spellingShingle |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT Emmert, Fabiano geoprocessing forest roads management. geoprocessamento estradas florestais gerência |
title_short |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
title_full |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
title_fullStr |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
title_full_unstemmed |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
title_sort |
GEOPROCESSING AS A SUPPORT TOOL THE MANAGEMENT OF FOREST ROADS PAVEMENT |
author |
Emmert, Fabiano |
author_facet |
Emmert, Fabiano Pereira, Reginaldo Sérgio Rezende, Alba Valéria Encinas, José Marcelo Imañas |
author_role |
author |
author2 |
Pereira, Reginaldo Sérgio Rezende, Alba Valéria Encinas, José Marcelo Imañas |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Emmert, Fabiano Pereira, Reginaldo Sérgio Rezende, Alba Valéria Encinas, José Marcelo Imañas |
dc.subject.por.fl_str_mv |
geoprocessing forest roads management. geoprocessamento estradas florestais gerência |
topic |
geoprocessing forest roads management. geoprocessamento estradas florestais gerência |
description |
This purpose of this research was to apply geoprocessing techniques for data acquisition, preparation, georeference, and display for assessing quality standards of forest roads and mapping critical points of the timber transportation, which contribute to support the development of a pavement preventive and ordinary maintenance program. First, the road pavement integrity and condition were assessed by conducting a continuous survey on road defects and estimating the NPRCI (Non-Paved Road Condition Index). The georeferenced dataset, the sampling unit’s allocation, and the road network spatial location were conducted using satellite (CBERS-II) and SRTM imagery and GPS field data. The road identification and the assessment of pavement condition were based on a detailed field survey, which revealed the road pavement conditions and derived useful supporting information regarding the most critical parts of the forest road and its defect severity, also pointing out practical measures to fix them, estimating costs for the required road maintenance. The Geoprocessing techniques, GPS, remote sensing dataset, and GIS showed to be efficient tools for identifying, mapping, and quantifying this natural phenomenon in the region being studied and may support the definition of maintenance program of non-paved forest roads. Results showed that the GIS could integrate the dataset containing standards of forest road ordinary operation and maintenance to a geographic database, which subsequently allowed to georeference, manipulate, and display this information on thematic maps. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-03-30 |
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.ufsm.br/cienciaflorestal/article/view/1763 10.5902/198050981763 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/1763 |
identifier_str_mv |
10.5902/198050981763 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/1763/1030 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 20 No. 1 (2010); 81-94 Ciência Florestal; v. 20 n. 1 (2010); 81-94 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
_version_ |
1799944126117969920 |