Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.

Detalhes bibliográficos
Autor(a) principal: BEUCHLE, R.
Data de Publicação: 2011
Outros Autores: EVA, H. D., MIRANDA, E. E. de, HOLLER, W. A., OSHIRO, O. T., ACHARD, F.
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902317
Resumo: At the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin America, Southeast Asia and Africa on the basis of over 4000 sample units sample units with a dimension of 20 km by 20 km located at every full latitude and longitude degree confluence. From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) instruments, images with low cloud impact from the epochs around the years 1990, 2000 and 2005 were selected and subsets covering the sample units were cut-out, pre-processed, segmented and classified in five different land cover classes in order to build global and regional statistics on tropical forest cover change. The data was validated in three steps, internal correction of wrongly classified objects, external (national or regional) expert validation and internal harmonization of the data. In this paper, the data collection and the workflow of the forest cover change assessment for the epochs 1990 and 2000 is presented. Parts of the results for the Brazilian Amazon have been validated by comparing with interpretations of corresponding samples carried out by the Instituto Nacional de Pesquisas Espaciais (INPE), showing a very high correlation. Further, the figure produced by INPE through the PRODES program on gross deforestation for the years 1990-2000 was compared to the figure calculated on basis of the JRC results for the respective area, where the JRC estimate that was ca. 10% higher than the INPE estimate.
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spelling Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.Tropical forest coverObject-based classificationLandsatmonitoringAt the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin America, Southeast Asia and Africa on the basis of over 4000 sample units sample units with a dimension of 20 km by 20 km located at every full latitude and longitude degree confluence. From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) instruments, images with low cloud impact from the epochs around the years 1990, 2000 and 2005 were selected and subsets covering the sample units were cut-out, pre-processed, segmented and classified in five different land cover classes in order to build global and regional statistics on tropical forest cover change. The data was validated in three steps, internal correction of wrongly classified objects, external (national or regional) expert validation and internal harmonization of the data. In this paper, the data collection and the workflow of the forest cover change assessment for the epochs 1990 and 2000 is presented. Parts of the results for the Brazilian Amazon have been validated by comparing with interpretations of corresponding samples carried out by the Instituto Nacional de Pesquisas Espaciais (INPE), showing a very high correlation. Further, the figure produced by INPE through the PRODES program on gross deforestation for the years 1990-2000 was compared to the figure calculated on basis of the JRC results for the respective area, where the JRC estimate that was ca. 10% higher than the INPE estimate.RENÉ BEUCHLE, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION; HUGH DOUGLAS EVA, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION; EVARISTO EDUARDO DE MIRANDA, CNPM; WILSON ANDERSON HOLLER, CNPM; OSVALDO TADATOMO OSHIRO, CNPM; FRÉDERIC ACHARD, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION.BEUCHLE, R.EVA, H. D.MIRANDA, E. E. deHOLLER, W. A.OSHIRO, O. T.ACHARD, F.2011-10-04T11:11:11Z2011-10-04T11:11:11Z2011-10-04T11:11:11Z2011-10-0420112019-05-03T11:11:11ZArtigo em anais e proceedingsinfo:eu-repo/semantics/publishedVersionp. 2981-2988.In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.http://www.alice.cnptia.embrapa.br/alice/handle/doc/902317porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-15T22:30:51Zoai:www.alice.cnptia.embrapa.br:doc/902317Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T22:30:51Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
title Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
spellingShingle Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
BEUCHLE, R.
Tropical forest cover
Object-based classification
Landsat
monitoring
title_short Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
title_full Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
title_fullStr Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
title_full_unstemmed Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
title_sort Global tropical forest cover change assessment with medium spatial satellite imagery using a systematic sample grid - data, methods and first results.
author BEUCHLE, R.
author_facet BEUCHLE, R.
EVA, H. D.
MIRANDA, E. E. de
HOLLER, W. A.
OSHIRO, O. T.
ACHARD, F.
author_role author
author2 EVA, H. D.
MIRANDA, E. E. de
HOLLER, W. A.
OSHIRO, O. T.
ACHARD, F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv RENÉ BEUCHLE, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION; HUGH DOUGLAS EVA, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION; EVARISTO EDUARDO DE MIRANDA, CNPM; WILSON ANDERSON HOLLER, CNPM; OSVALDO TADATOMO OSHIRO, CNPM; FRÉDERIC ACHARD, JOINT RESEARCH CENTRE OF THE EUROPEAN COMMISSION.
dc.contributor.author.fl_str_mv BEUCHLE, R.
EVA, H. D.
MIRANDA, E. E. de
HOLLER, W. A.
OSHIRO, O. T.
ACHARD, F.
dc.subject.por.fl_str_mv Tropical forest cover
Object-based classification
Landsat
monitoring
topic Tropical forest cover
Object-based classification
Landsat
monitoring
description At the Joint Research Centre (JRC) of the European Commission, a methodology has been developed to monitor the pan-tropical forest cover with remote sensing data for the years 1990-2000-2005 in Latin America, Southeast Asia and Africa on the basis of over 4000 sample units sample units with a dimension of 20 km by 20 km located at every full latitude and longitude degree confluence. From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) instruments, images with low cloud impact from the epochs around the years 1990, 2000 and 2005 were selected and subsets covering the sample units were cut-out, pre-processed, segmented and classified in five different land cover classes in order to build global and regional statistics on tropical forest cover change. The data was validated in three steps, internal correction of wrongly classified objects, external (national or regional) expert validation and internal harmonization of the data. In this paper, the data collection and the workflow of the forest cover change assessment for the epochs 1990 and 2000 is presented. Parts of the results for the Brazilian Amazon have been validated by comparing with interpretations of corresponding samples carried out by the Instituto Nacional de Pesquisas Espaciais (INPE), showing a very high correlation. Further, the figure produced by INPE through the PRODES program on gross deforestation for the years 1990-2000 was compared to the figure calculated on basis of the JRC results for the respective area, where the JRC estimate that was ca. 10% higher than the INPE estimate.
publishDate 2011
dc.date.none.fl_str_mv 2011-10-04T11:11:11Z
2011-10-04T11:11:11Z
2011-10-04T11:11:11Z
2011-10-04
2011
2019-05-03T11:11:11Z
dc.type.driver.fl_str_mv Artigo em anais e proceedings
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/902317
identifier_str_mv In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/902317
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 2981-2988.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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