Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Amazonica |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170 |
Resumo: | ABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an evaluation based on agreement matrices. The overall agreement between the projects was 87.4% (TerraClass x MapBiomas 2) and 92.0% (TerraClass x MapBiomas 3). We analyzed methodological differences to explain the disagreements in class identification. We conclude that using these maps together without a properly adapted legend is not recommended for the analysis of land use and land cover change. Depending on the application, one mapping system may be more suitable than the other. |
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Acta Amazonica |
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Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biomeland coverclassification systemremote sensingPRODESnon-forestgeospatial analysisABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an evaluation based on agreement matrices. The overall agreement between the projects was 87.4% (TerraClass x MapBiomas 2) and 92.0% (TerraClass x MapBiomas 3). We analyzed methodological differences to explain the disagreements in class identification. We conclude that using these maps together without a properly adapted legend is not recommended for the analysis of land use and land cover change. Depending on the application, one mapping system may be more suitable than the other.Instituto Nacional de Pesquisas da Amazônia2020-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170Acta Amazonica v.50 n.2 2020reponame:Acta Amazonicainstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPA10.1590/1809-4392201900981info:eu-repo/semantics/openAccessNEVES,Alana KasaharaKÖRTING,Thales SehnFONSECA,Leila Maria GarciaESCADA,Maria Isabel Sobraleng2020-06-15T00:00:00Zoai:scielo:S0044-59672020000200170Revistahttps://acta.inpa.gov.br/PUBhttps://old.scielo.br/oai/scielo-oai.phpacta@inpa.gov.br||acta@inpa.gov.br1809-43920044-5967opendoar:2020-06-15T00:00Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.none.fl_str_mv |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
title |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
spellingShingle |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome NEVES,Alana Kasahara land cover classification system remote sensing PRODES non-forest geospatial analysis |
title_short |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
title_full |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
title_fullStr |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
title_full_unstemmed |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
title_sort |
Assessment of TerraClass and MapBiomas data on legend and map agreement for the Brazilian Amazon biome |
author |
NEVES,Alana Kasahara |
author_facet |
NEVES,Alana Kasahara KÖRTING,Thales Sehn FONSECA,Leila Maria Garcia ESCADA,Maria Isabel Sobral |
author_role |
author |
author2 |
KÖRTING,Thales Sehn FONSECA,Leila Maria Garcia ESCADA,Maria Isabel Sobral |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
NEVES,Alana Kasahara KÖRTING,Thales Sehn FONSECA,Leila Maria Garcia ESCADA,Maria Isabel Sobral |
dc.subject.por.fl_str_mv |
land cover classification system remote sensing PRODES non-forest geospatial analysis |
topic |
land cover classification system remote sensing PRODES non-forest geospatial analysis |
description |
ABSTRACT Reliable environmental monitoring and evaluation require high-quality maps of land use and land cover. For the Amazon biome, the TerraClass and MapBiomas projects apply different methodologies to create these maps. We evaluated the agreement between land cover and land use maps generated by TerraClass and MapBiomas (Collections 2 and 3) for the Brazilian Amazon biome, from 2004 to 2014. Specifically, we: (1) described both project legends based on the LCCS (Land Cover Classification System); (2) analyzed the differences between their classes; and (3) compared the mapping differences among the Brazilian states that are totally or partially covered by the Amazon biome. We compared the classifications with a per-pixel approach and performed an evaluation based on agreement matrices. The overall agreement between the projects was 87.4% (TerraClass x MapBiomas 2) and 92.0% (TerraClass x MapBiomas 3). We analyzed methodological differences to explain the disagreements in class identification. We conclude that using these maps together without a properly adapted legend is not recommended for the analysis of land use and land cover change. Depending on the application, one mapping system may be more suitable than the other. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672020000200170 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4392201900981 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Nacional de Pesquisas da Amazônia |
publisher.none.fl_str_mv |
Instituto Nacional de Pesquisas da Amazônia |
dc.source.none.fl_str_mv |
Acta Amazonica v.50 n.2 2020 reponame:Acta Amazonica instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
instname_str |
Instituto Nacional de Pesquisas da Amazônia (INPA) |
instacron_str |
INPA |
institution |
INPA |
reponame_str |
Acta Amazonica |
collection |
Acta Amazonica |
repository.name.fl_str_mv |
Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA) |
repository.mail.fl_str_mv |
acta@inpa.gov.br||acta@inpa.gov.br |
_version_ |
1752129841223696384 |