Spectral linear mixture modelling approaches for land cover mapping of tropical savanna areas in Brazil

References

• Aguiar , A. P. D. , Shimabukuro , Y. E. and Mascarenhas , N. D. A. 1999 . Use of synthetic bands derived from mixing models in the multispectral classification of remote sensing images. . International Journal of Remote Sensing , 20 : 647 – 657 .
   Web of Science ®Google Scholar
• Asner , G. P. and Lobell , D. B. 2000 . A biogeophysical approach for automated SWIR unmixing of soils and vegetation. . Remote Sensing of Environment , 74 : 99 – 112 .
   Web of Science ®Google Scholar
• Bajjouk , T. , Populus , J. and Guillaumont , B. 1998 . Quantification of subpixel cover fractions using principal component analysis and a linear programming method: application to the Coastal Zone of Roscoff (France). . Remote Sensing of Environment , 64 : 153 – 165 .
   Web of Science ®Google Scholar
• Castro , L. H. R. , Moreira , A. M. and Assad , E. D. 1994 . “ Definition and regionalization of pluviometric patterns in the Brazilian Cerrado. ” . In Chuva nos Cerrados: Análise e espacialização , Edited by: Assad , E. D . 13 – 23 . Brasília : Embrapa Cerrados . (in Portuguese)
   Google Scholar
• Cochrane , M. A. and Souza , C. M. 1998 . Linear mixture model classification of burned forests in the eastern Amazon. . International Journal of Remote Sensing , 19 : 3433 – 3440 .
   Web of Science ®Google Scholar
• Defries , R. S. , Hansen , M. C. and Townshend , J. R. G. 2000 . Global continuous fields of vegetation characteristics: a linear mixture model applied to multi‐year 8 km AVHRR data. . International Journal of Remote Sensing , 21 : 1389 – 1414 .
   Web of Science ®Google Scholar
• Ferreira , L. G. , Yoshioka , H. , Huete , A. R. and Sano , E. E. 2003 . Seasonal landscape and spectral vegetation index dynamics in the Brazilian Cerrado: An analysis within the Large Scale Biosphere‐Atmosphere Experiment in Amazonia (LBA). . Remote Sensing of Environment , 87 : 534 – 550 .
   Web of Science ®Google Scholar
• Holben , B. N. and Shimabukuro , Y. E. 1993 . Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensors. . International Journal of Remote Sensing , 14 : 2231 – 2240 .
   Web of Science ®Google Scholar
• IPCC . 1990 . “ The IPCC scientific assessment of climate change. ” . In Report of Working Group I , Edited by: Houghton , J. T , Jenkins , G. J and Epharums , J. J . 365 Cambridge, , UK : Cambridge University Press .
   Google Scholar
• Klink , C. A. 1996 . “ Relação entre o desenvolvimento agrícola e a biodiversidade. ” . In Simpósio Internacional de Savanas Tropicais: Biodiversidade e produção sustentada de alimentos e fibras nos Cerrados , Edited by: Pereira , R. C and Nasses , L. C. B . 25 – 27 . Brasília : Embrapa Cerrados .
   Google Scholar
• Kuehl , R. O. 1994 . Statistical Principles of Research Design and Analysis , Brooks, Cole : Duxbury Press . first edition
   Google Scholar
• Macedo , J. 1992 . Soil Studies from the Brasilia National Park 39(in Portuguese) Technical Report for Subsidiaring the Review of the Brasilia National Park Monitoring Plan, appendix 2
   Google Scholar
• Mantovani , J. E. and Pereira , A. 1998 . “ Estimating the integrity of the Cerrado vegetation cover through the Landsat‐TM data. ” . In Proceedings of Simpósio Brasileiro de Sensoriamento Remoto , Vol. 9 , São José dos Campos, SP : Brazilian Institute for Space Research, INPE. CD‐ROM version (in Portuguese) . Santos, September 1998
   Google Scholar
• Miura , T. , Huete , A. R. , Ferreira , L. G. and Sano , E. E. 2003 . “ Discrimination and biophysical characterization of Cerrado physiognomies with EO‐1 hyperspectral Hyperion. ” . In Proceedings of Simpósio Brasileiro de Sensoriamento Remoto , Vol. 11 , 1077 – 1082 . São Jose dos Campos, SP : Brazilian Institute for Space Research, INPE . Belo Horizonte, 5–10 April 2003
   Google Scholar
• Myers , N. , Mittermeyer , R. A. , Mittermeyer , C. G. , Fonseca , G. A. and Kent , J. 2000 . Biodiversity hotspots for conservation priorities. . Nature , 403 : 853 – 858 .
   PubMed Web of Science ®Google Scholar
• Nepstad , D. , Klink , C. A. , Uhl , C. , Vieira , I. C. , Lefebebvre , P. , Pedlowski , M. , Matricardi , E. , Negreiros , G. , Brown , I. F. , Amaral , E. , Homma , A. and Walker , R. 1997 . Land use in Amazônia and the Cerrado of Brazil. . Ciencia & Cultura (São Paulo) , 49 : 73 – 86 .
   Google Scholar
• Nobre , C. A. , Wickland , D. and Kabat , P. L. 2001 . The Large Scale Biosphere‐Atmosphere Experiment in Amazonia (LBA). . International Geosphere‐Biosphere Programme (IGBP) Newsletter , 45 (LBA Special Edition) : 2 – 4 .
   Google Scholar
• Ratter , J. A. , Bridgewater , S. , Atkinson , R. and Ribeiro , J. F. 1996 . Analysis of the floristic composition of the Brazilian Cerrado vegetation: II. Comparison of the woody vegetation of 98 areas. . Edinburgh Journal of Botanics , 53 : 153 – 180 .
   Google Scholar
• Ratter , J. A. , Ribeiro , J. F. and Bridgewater , S. 1997 . The Brazilian Cerrado vegetation and threats to its biodiversity. . Annali di Botanica , 80 : 223 – 230 .
   Web of Science ®Google Scholar
• Ribeiro , J. F. and Walter , T. M. B. 1998 . “ Fitofisionomias do bioma Cerrado. ” . In Cerrado: Ambiente e flora , Edited by: Sano , S. M and Almeida , S. P . 89 – 166 . Planaltina : Embrapa Cerrados .
   Google Scholar
• Roberts , D. A. , Gardner , M. , Church , R. , Ustin , S. , Scheer , G. and Green , R. O. 1998 . Mapping Chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models. . Remote Sensing of Environment , 65 : 267 – 279 .
   Web of Science ®Google Scholar
• Rogan , J. , Franklin , J. and Roberts , D. A. 2002 . Comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery. . Remote Sensing of Environment , 80 : 143 – 156 .
   Web of Science ®Google Scholar
• Sano , E. E. , Pinheiro , G. G. C. and Meneses , P. R. 2001 . Assessing JERS‐1 synthetic aperture radar data for vegetation mapping in the Brazilian savanna. . Journal of the Remote Sensing Society of Japan , 21 : 158 – 167 .
   Google Scholar
• Schowengerdt , R. A. 1997 . Remote Sensing: Models and Methods for Image Processing , San Diego, CA : Academic Press . second edition
   Google Scholar
• Schweik , C. M. and Green , G. M. 1999 . The use of spectral mixture analysis to study human incentives, actions, and environmental outcomes. . Social Science Computer Review , 17 : 40 – 63 .
   Web of Science ®Google Scholar
• Shimabukuro , Y. E. , Duarte , V. , Mello , E. M. K. and Moreira , J. C. 2000 . “ Apresentação da metodologia de criação do PRODES digital. ” . Brazilian Institute for Space Research, São José dos Campos, SP (INPE‐7520‐PUD/41)
   Google Scholar
• Shimabukuro , Y. E. , Mello , E. M. K. , Moreira , J. C. and Duarte , V. 1997 . “ Segmentação e classificação da imagem sombra do modelo de mistura para mapear desflorestamento na Amazônia. ” . Brazilian Institute for Space Research, São José dos Campos, SP (INPE‐6147‐PUD/029)
   Google Scholar
• Shimabukuro , Y. E. , Novo , E. L. M. and Ponzoni , F. J. 1998 . Índice de vegetação e modelo linear de mistura espectral no monitoramento da região do Pantanal. . Pesquisa Agropecuária Brasileira (Brasília) , 33 : 1729 – 1737 .
   Google Scholar
• Shimabukuro , Y. E. and Smith , J. A. 1991 . The least‐squares mixing models to generate fraction images derived from remote sensing multispectral data. . IEEE Transactions on Geoscience and Remote Sensing , 29 : 16 – 20 .
   Web of Science ®Google Scholar
• Shimabukuro , Y. E. and Smith , J. A. 1995 . Fraction images derived from Landsat TM and MSS data for monitoring reforested areas. . Canadian Journal of Remote Sensing , 21 : 67 – 74 .
   Google Scholar
• Shimazaki , Y. and Tateishi , R. Land cover mapping using spectral and temporal linear mixing model at Lake Baikal region. 22nd Asian Conference on Remote Sensing , pp. 843 – 847 . Singapore : ACRS .
   Google Scholar
• Skole , D. L. , Chomentowiski , W. H. , Salas , W. A. and Nobre , C. A. 1994 . Physical and human dimensions of deforestation in Amazônia. . Biosciences , 44 : 314 – 322 .
   Web of Science ®Google Scholar
• Souza , C. M. and Barreto , P. 2000 . An alternative approach for detecting and monitoring selectively logged forest in the Amazon. . International Journal of Remote Sensing , 21 : 173 – 179 .
   Web of Science ®Google Scholar
• Vermote , E. F. , Tanre , D. , Deuze , J. L. , Herman , M. and Morcrette , J. J. 1997 . Second simulation of the satellite signal in the solar spectrum, 6S: An overview. . IEEE Transactions on Geoscience and Remote Sensing , 35 : 675 – 686 .
   Web of Science ®Google Scholar
• Zhu , L. and Tateishi , R. Application of linear mixture model to time series of AVHRR NDVI data. 22nd Asian Conference on Remote Sensing , pp. 1446 – 1450 . Singapore : ACRS .
   Google Scholar