Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902317
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dc.contributor.authorBEUCHLE, R.pt_BR
dc.contributor.authorEVA, H. D.pt_BR
dc.contributor.authorMIRANDA, E. E. dept_BR
dc.contributor.authorHOLLER, W. A.pt_BR
dc.contributor.authorOSHIRO, O. T.pt_BR
dc.contributor.authorACHARD, F.pt_BR
dc.date.accessioned2011-10-04T11:11:11Zpt_BR
dc.date.available2011-10-04T11:11:11Zpt_BR
dc.date.available2011-10-04T11:11:11Zpt_BR
dc.date.created2011-10-04pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/902317pt_BR
dc.descriptionAt 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.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectTropical forest coverpt_BR
dc.subjectObject-based classificationpt_BR
dc.titleGlobal tropical forest cover change assessment with medium spatial stellite imagery using a systematic sample grid - data, methods and first results.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.subject.nalthesaurusmonitoringpt_BR
dc.format.extent2p. 2981-2988.pt_BR
riaa.ainfo.id902317pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionRENÉ 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.pt_BR
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