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| 2. |  | ANDRADE, B. O.; DRÖSE, W.; AGUIAR, C. A. de; AIRES, E. T.; ALVARES, D. J.; BARBIERI, R. L.; CARVALHO, C. J. B. de; BARTZ, M.; BECKER, F. G.; BENCKE, G. A.; BENEDUZI, A.; SILVA, J. B.; BLOCHTEIN, B.; BOLDRINI, I. I.; BOLL, P. K.; BORDIN, J.; SILVEIRA, R. M. B. da; MARTINS, M. B.; BOSENBECKER, C.; BRACCINI, J.; BRAUN, B.; BRITO, R.; BROWN, G. G.; BÜNEKER, H. M.; BUZATTO, C. R.; CAVALLERI, A.; CECHIN, S. Z.; COLOMBO, P.; CONSTANTINO, R.; COSTA, C. F. da; DALZOCHIO, M. S.; OLIVEIRA, M. G. de; DIAS, R. A.; SANTOS, L. A. dos; DUARTE, A. da F.; DUARTE, J. L. P.; DURIGON, J.; SILVA, M. E. da; FERREIRA, P. P. A.; FERREIRA, T.; FERRER, J.; FERRO, V. G.; FONTANA, C. S.; FREIRE, M. D.; FREITAS, T. R. O.; GALIANO, D.; GARCIA, M.; SANTOS, T. G. dos; GOMES, L. R. P.; GONZATTI, F.; GOTTSCHALK, M. S.; GRACIOLLI, G.; GRANADA, C. E.; GRINGS, M.; GUIMARÃES, P. S.; HEYDRICH, I.; IOP, S.; JARENKOW, J. A.; JUNGBLUTH, P.; KÄFFER, M. I.; KAMINSKI, L. A.; KENNE, D. C.; KIRST, F. D.; KROLOW, T. K.; KRÜGER, R. F.; KUBIAK, B. B.; LEAL-ZANCHET, A. M.; LOEBMANN, D.; LUCAS, D. B.; LUCAS, E. M.; LUZA, A. L.; MACHADO, I. F.; MADALOZZO, B.; MAESTRI, R.; MALABARBA, L. R.; MANEYRO, R.; MARINHO, M. A. T.; MARQUES, R.; MARTA, K. da S.; MARTINS, D. da S.; MARTINS, G. da S.; MARTINS, T. R.; MELLO, A. S. de; MELLO, R. L.; MENDONÇA JUNIOR, M. de S.; MORAIS, A. B. B. de; MOREIRA, F. F. F.; MOREIRA, L. F. B.; MOURA, L. de A.; NERVO, M. H.; OTT, R.; PALUDO, P.; PASSAGLIA, L. M. P.; PÉRICO, E.; PETZHOLD, E. S.; PIRES, M. M.; POPPE, J. L.; QUINTELA, F. M.; RAGUSE-QUADROS, M.; PEREIRA, M. J. R.; RENNER, S.; RIBEIRO, F. B.; RIBEIRO, J. R. I.; RODRIGUES, E. N. L.; RODRIGUES, P. E. S.; ROMANOWSKI, H. P.; RUSCHEL, T. P.; SACCOL, S. da S. A.; SAVARIS, M.; SILVEIRA, F. S.; SCHMITZ, H. J.; SIEGLOCH, A. E.; SIEWERT, R. R.; SILVA FILHO, P. J. S. da; SOARES, A. G.; SOMAVILLA, A.; SPEROTTO, P.; SPIES, M. R.; TIRELLI, F. P.; TOZETTI, A. M.; VERRASTRO, L.; ELY, C. V.; SILVA, Â. Z. da; ZANK, C.; ZEFA, E.; OVERBECK, G. E. 12,500+ and counting: biodiversity of the Brazilian Pampa Frontiers of Biogeography, v. 15, n. 2, e59288, 2023. 1948-6596| Biblioteca(s): Embrapa Clima Temperado; Embrapa Florestas. |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
20/02/2015 |
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Data da última atualização: |
20/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
MAYAUX, P.; EVA, H.; GALLEGO, J.; STRAHLER, A. H.; HEROLD, M.; AGRAWAL, S.; NAUMOV, S.; MIRANDA, E. E. de; DI BELLA, C. M.; ORDOYNE, C.; KOPIN, Y.; ROY, P. S. |
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Afiliação: |
PHILIPPE MAYAUX, ISPRA; HUGH EVA, ISPRA; JAVIER GALLEGO, ISPRA; ALAN H. STRAHLER, BOSTON UNIVERSITY; MARTIN HEROLD, FRIEDRICH SCHILLER UNIVERSITY; SHEFALI AGRAWAL, INDIAN INSTITUTE OF REMOTE SENSING; SERGEY NAUMOV, DATA+ MOSCOW; EVARISTO EDUARDO DE MIRANDA, CNPM; CARLOS M. DI BELLA, INSTITUTE OF CLIMATE AND WATER, BUENOS AIRES; CALLAN ORDOYNE, BOSTON UNIVERSITY; YURI KOPIN, DATA+ MOSCOW; P. S. ROY, INDIAN INSTITUTE OF REMOTE SENSING. |
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Título: |
Validation of the global land Cover 2000 map. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
IEEE Transactions on Geoscience and Remote Sensing, v. 44, n. 7, p. 1728-1739, 2006. |
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DOI: |
10.1109/TGRS.2006.864370 |
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Idioma: |
Inglês |
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Conteúdo: |
The Joint Research Centre of the European Commission (JRC), in partnership with 30 institutions, has produced a global land cover map for the year 2000, the GLC 2000 map. The validation of the GLC2000 product has now been completed. The accuracy assessment relied on two methods: a confidence-building method (quality control based on a comparison with ancillary data) and a quantitative accuracy assessment based on a stratified random sampling of reference data. The sample site stratification used an underlying grid of Landsat data and was based on the proportion of priority land cover classes and on the landscape complexity. A total of 1265 sample sites have been interpreted. The first results indicate an overall accuracy of 68.6%. The GLC2000 validation exercise has provided important experiences. The design-based inference conforms to the CEOS Cal-Val recommendations and has proven to be successful. Both the GLC2000 legend development and reference data interpretations used the FAO Land Cover Classification System (LCCS). Problems in the validation process were identified for areas with heterogeneous land cover. This issue appears in both in the GLC2000 (neighborhood pixel variations) and in the reference data (cartographic and thematic mixed units). Another interesting outcome of the GLC2000 validation is the accuracy reporting. Error statistics are provided from both the producer and user perspective and incorporates measures of thematic similarity between land cover classes derived from LCCS. MenosThe Joint Research Centre of the European Commission (JRC), in partnership with 30 institutions, has produced a global land cover map for the year 2000, the GLC 2000 map. The validation of the GLC2000 product has now been completed. The accuracy assessment relied on two methods: a confidence-building method (quality control based on a comparison with ancillary data) and a quantitative accuracy assessment based on a stratified random sampling of reference data. The sample site stratification used an underlying grid of Landsat data and was based on the proportion of priority land cover classes and on the landscape complexity. A total of 1265 sample sites have been interpreted. The first results indicate an overall accuracy of 68.6%. The GLC2000 validation exercise has provided important experiences. The design-based inference conforms to the CEOS Cal-Val recommendations and has proven to be successful. Both the GLC2000 legend development and reference data interpretations used the FAO Land Cover Classification System (LCCS). Problems in the validation process were identified for areas with heterogeneous land cover. This issue appears in both in the GLC2000 (neighborhood pixel variations) and in the reference data (cartographic and thematic mixed units). Another interesting outcome of the GLC2000 validation is the accuracy reporting. Error statistics are provided from both the producer and user perspective and incorporates measures of thematic similarity between land cover clas... Mostrar Tudo |
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Palavras-Chave: |
Vegetation mapping. |
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Thesaurus NAL: |
Quality control; Statistics. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/118303/1/4406.pdf
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Marc: |
LEADER 02347naa a2200301 a 4500
001 2009181
005 2015-02-20
008 2006 bl uuuu u00u1 u #d
024 7 $a10.1109/TGRS.2006.864370$2DOI
100 1 $aMAYAUX, P.
245 $aValidation of the global land Cover 2000 map.$h[electronic resource]
260 $c2006
520 $aThe Joint Research Centre of the European Commission (JRC), in partnership with 30 institutions, has produced a global land cover map for the year 2000, the GLC 2000 map. The validation of the GLC2000 product has now been completed. The accuracy assessment relied on two methods: a confidence-building method (quality control based on a comparison with ancillary data) and a quantitative accuracy assessment based on a stratified random sampling of reference data. The sample site stratification used an underlying grid of Landsat data and was based on the proportion of priority land cover classes and on the landscape complexity. A total of 1265 sample sites have been interpreted. The first results indicate an overall accuracy of 68.6%. The GLC2000 validation exercise has provided important experiences. The design-based inference conforms to the CEOS Cal-Val recommendations and has proven to be successful. Both the GLC2000 legend development and reference data interpretations used the FAO Land Cover Classification System (LCCS). Problems in the validation process were identified for areas with heterogeneous land cover. This issue appears in both in the GLC2000 (neighborhood pixel variations) and in the reference data (cartographic and thematic mixed units). Another interesting outcome of the GLC2000 validation is the accuracy reporting. Error statistics are provided from both the producer and user perspective and incorporates measures of thematic similarity between land cover classes derived from LCCS.
650 $aQuality control
650 $aStatistics
653 $aVegetation mapping
700 1 $aEVA, H.
700 1 $aGALLEGO, J.
700 1 $aSTRAHLER, A. H.
700 1 $aHEROLD, M.
700 1 $aAGRAWAL, S.
700 1 $aNAUMOV, S.
700 1 $aMIRANDA, E. E. de
700 1 $aDI BELLA, C. M.
700 1 $aORDOYNE, C.
700 1 $aKOPIN, Y.
700 1 $aROY, P. S.
773 $tIEEE Transactions on Geoscience and Remote Sensing$gv. 44, n. 7, p. 1728-1739, 2006.
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