LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC

Detalhes bibliográficos
Autor(a) principal: Macedo, Rodrigo de Campos
Data de Publicação: 2018
Outros Autores: Schmitt Filho, Abdon Luiz, Farley, Joshua C., Fantini, Alfredo Celso, Cazella, Ademir Antonio, Sinisgalli, Paulo Antonio de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/60278
Resumo: It is challenging to reconcile large scale data with the dynamic characteristics present in land use.Such dynamism requires data with a high repetition of sampling. An alternative is the integration of data of high spatial resolution and low temporal resolution, with that of high temporal resolution and low spatial resolution. The aim addressed in this article is related to the integrationof aerial photographs and temporal series for land use and land cover mapping in high detail scale. We conducted a case study in Santa Rosa de Lima-SC. The main data used was the aerial survey that overlaid the state of Santa Catarina, executed in 2010/2011. The interpretation key included typical elements of hotointerpretation (color, texture, size, shape), aiming to classify the land use and land cover classes. The mapping evaluation resulted in 75.6% global accuracy, ranging from 54% Grassland and Wetlands) to 96% (Water Bodies and Rocks). Such results are considered satisfactory. The integration of high-resolution images with high temporal resolution data has enabled the iscrimination between classes that present great difficulties of separability. Such discrimination is essential in the territorial management processes of Encosta da Serra and the municipality of Santa Rosa de Lima.
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spelling LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SCGeociências; GeodésiaChange Detection, Image Interpretation, Temporal SeriesIt is challenging to reconcile large scale data with the dynamic characteristics present in land use.Such dynamism requires data with a high repetition of sampling. An alternative is the integration of data of high spatial resolution and low temporal resolution, with that of high temporal resolution and low spatial resolution. The aim addressed in this article is related to the integrationof aerial photographs and temporal series for land use and land cover mapping in high detail scale. We conducted a case study in Santa Rosa de Lima-SC. The main data used was the aerial survey that overlaid the state of Santa Catarina, executed in 2010/2011. The interpretation key included typical elements of hotointerpretation (color, texture, size, shape), aiming to classify the land use and land cover classes. The mapping evaluation resulted in 75.6% global accuracy, ranging from 54% Grassland and Wetlands) to 96% (Water Bodies and Rocks). Such results are considered satisfactory. The integration of high-resolution images with high temporal resolution data has enabled the iscrimination between classes that present great difficulties of separability. Such discrimination is essential in the territorial management processes of Encosta da Serra and the municipality of Santa Rosa de Lima.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesIBGEMacedo, Rodrigo de CamposSchmitt Filho, Abdon LuizFarley, Joshua C.Fantini, Alfredo CelsoCazella, Ademir AntonioSinisgalli, Paulo Antonio de Almeida2018-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/60278Boletim de Ciências Geodésicas; Vol 24, No 2 (2018)Bulletin of Geodetic Sciences; Vol 24, No 2 (2018)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/60278/35588Copyright (c) 2018 Rodrigo de Campos Macedo, Abdon Luiz Schmitt Filho, Joshua C. Farley, Alfredo Celso Fantini, Ademir Antonio Cazella, Paulo Antonio de Almeida Sinisgallihttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2018-07-02T13:44:29Zoai:revistas.ufpr.br:article/60278Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2018-07-02T13:44:29Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC

title LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
spellingShingle LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
Macedo, Rodrigo de Campos
Geociências; Geodésia
Change Detection, Image Interpretation, Temporal Series
title_short LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
title_full LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
title_fullStr LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
title_full_unstemmed LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
title_sort LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC
author Macedo, Rodrigo de Campos
author_facet Macedo, Rodrigo de Campos
Schmitt Filho, Abdon Luiz
Farley, Joshua C.
Fantini, Alfredo Celso
Cazella, Ademir Antonio
Sinisgalli, Paulo Antonio de Almeida
author_role author
author2 Schmitt Filho, Abdon Luiz
Farley, Joshua C.
Fantini, Alfredo Celso
Cazella, Ademir Antonio
Sinisgalli, Paulo Antonio de Almeida
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv
IBGE
dc.contributor.author.fl_str_mv Macedo, Rodrigo de Campos
Schmitt Filho, Abdon Luiz
Farley, Joshua C.
Fantini, Alfredo Celso
Cazella, Ademir Antonio
Sinisgalli, Paulo Antonio de Almeida
dc.subject.none.fl_str_mv

dc.subject.por.fl_str_mv Geociências; Geodésia
Change Detection, Image Interpretation, Temporal Series
topic Geociências; Geodésia
Change Detection, Image Interpretation, Temporal Series
description It is challenging to reconcile large scale data with the dynamic characteristics present in land use.Such dynamism requires data with a high repetition of sampling. An alternative is the integration of data of high spatial resolution and low temporal resolution, with that of high temporal resolution and low spatial resolution. The aim addressed in this article is related to the integrationof aerial photographs and temporal series for land use and land cover mapping in high detail scale. We conducted a case study in Santa Rosa de Lima-SC. The main data used was the aerial survey that overlaid the state of Santa Catarina, executed in 2010/2011. The interpretation key included typical elements of hotointerpretation (color, texture, size, shape), aiming to classify the land use and land cover classes. The mapping evaluation resulted in 75.6% global accuracy, ranging from 54% Grassland and Wetlands) to 96% (Water Bodies and Rocks). Such results are considered satisfactory. The integration of high-resolution images with high temporal resolution data has enabled the iscrimination between classes that present great difficulties of separability. Such discrimination is essential in the territorial management processes of Encosta da Serra and the municipality of Santa Rosa de Lima.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-02
dc.type.none.fl_str_mv

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://revistas.ufpr.br/bcg/article/view/60278
url https://revistas.ufpr.br/bcg/article/view/60278
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/60278/35588
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 24, No 2 (2018)
Bulletin of Geodetic Sciences; Vol 24, No 2 (2018)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
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