A land cover map of southern hemisphere Africa based on SPOT‐4 Vegetation data

References

• Barbosa , L. A. G. 1970a . “ Carta fitogeográfica de Angola. ” . Instituto de Investigação Científica de Angola, Luanda
   Google Scholar
• Barbosa , L. A. G. 1970b . “ Carta fitogeográfica de Angola (1 : 2 500 000). ” . Instituto de Investigação Científica de Angola, Luanda
   Google Scholar
• Bartholomé , E. and Belward , A. S. 2005 . A new approach to global land cover mapping from Earth observation data. . International Journal of Remote Sensing , 26(9), pp. 1959–1977
   Google Scholar
• Bauer , E. and Kohavi , R. 1999 . An empirical comparison of voting classification algorithms: bagging, and variants. . Machine Learning , 36 : 105 – 139 .
   Web of Science ®Google Scholar
• Bounoua , L. , de Fries , R. , Collatz , G. J. , Sellers , P. and Khan , H. 2002 . Effects of land cover conversion on surface climate. . Climatic Change , 52 : 29 – 64 .
   Web of Science ®Google Scholar
• Breiman , L. 1996 . Bagging predictors. . Machine Learning , 24 : 123 – 140 .
   Web of Science ®Google Scholar
• Breiman , L. , FriedmaN , J. H. , Olshen , R. A. and Stone , C. J. 1984 . Classification and Regression Trees , Pacific Grove, CA : Wadsworth .
   Google Scholar
• Brodley , C. E. and Friedl , M. A. 1999 . Identifying mislabeled training data. . Journal of Artificial Intelligence Research , 11 : 131 – 167 .
   Web of Science ®Google Scholar
• Cabral , A. , de Vasconcelos , M. J. P. , Pereira , J. M. C. , Bartholomé , E. and Mayaux , P. 2003 . Multitemporal compositing approaches for SPOT‐4 Vegetation data. . International Journal of Remote Sensing , 24 : 3343 – 3350 .
   Web of Science ®Google Scholar
• Clark , D. B. , Xue , Y. , Harding , R. J. and Valdes , P. J. 2001 . Modeling the impact of land surface degradation on the climate of tropical North Africa. . Journal of Climate , 14 : 1809 – 1822 .
   Google Scholar
• Cowling , R. M. , Richardson , D. M. and Pierce , S. M. 1997 . Vegetation of Southern Africa , Cambridge : Cambridge University Press .
   Google Scholar
• Di Gregorio , A. and Jensen , L. J. M. (Eds). 2000 . Land cover classification system, concepts and user manual , Rome : Africover (Food and Agriculture Organization of the United Nations of the United Nations Publishing Service) .
   Google Scholar
• Foody , G. M. 2002 . Status of land cover classification accuracy assessment. . Remote Sensing of Environment , 80 : 185 – 201 .
   Web of Science ®Google Scholar
• Fuller , D. O. and Otwe , C. 2002 . Land cover, rainfall and land surface albedo in west Africa. . Climatic Change , 54 : 181 – 204 .
   Web of Science ®Google Scholar
• Hansen , M. C. , de Fries , R. S. , Townshend , J. R. G. and Sohlberg , R. 2000 . Global land cover classification at 1 km spatial resolution using a classification tree approach. . International Journal of Remote Sensing , 21 : 1331 – 1364 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1996 . Introductory Digital Image Processing – A remote sensing perspective (New Jersey: Prentice Hall)
   Google Scholar
• Lillesand , T. M. and Kiefer , R. W. 1979 . Remote Sensing and Image Interpretation
   Google Scholar
• Loveland , T. R. , Zhu , Z. , Ohlen , D. O. , Brown , J. F. , Reed , B. C. and Yang , L. 1999 . An analysis of the IGBP Global Land cover characterization process. . Photogrammetric Engineering and Remote Sensing , 65 : 1021 – 1032 .
   Web of Science ®Google Scholar
• Mayaux , P. , Gond , V. and Bartholomé , E. 2000 . A near‐real time forest‐cover map of Madagascar derived from SPOT‐4 Vegetation data. . International Journal of Remote Sensing , 21 : 3139 – 3144 .
   Web of Science ®Google Scholar
• Mayaux , P. , Bartholomé , E. , Massart , M. , van Cutsem , C. , Cabral , A. and Nonguierma , A. 2004a . A Land‐cover Map of Africa (Luxembourg: Office for Official Publications of the European Communities), EUR 20665 EN
   Google Scholar
• Mayaux , P. , Bartholomé , E. , Fritz , S. and Belward , A. 2004b . A new land cover map of Africa for the year 2000. . Journal of Biogeography , 31 : 861 – 877 .
   Web of Science ®Google Scholar
• Pereira , J. M. C. , Vasconcelos , M. J. P. and Sousa , A. M. 2000 . “ A rule‐based system for burned area mapping in temperate and tropical regions using NOAA/AVHRR imagery. ” . In Biomass Burning and its Inter‐Relationships with the Climate System , Edited by: Innes , J. L , Beniston , M and Verstraete , M. M . 215 – 232 . Norwell, MA : Kluwer . In
   Google Scholar
• Sá , A. C. L. , Pereira , J. M. C. , Vasconcelos , M. J. P. , Silva , J. M. N. , Ribeiro , N. and Awasse , A. 2003 . Burned area mapping in the Miombo of northern Mozambique using MODIS and Landsat data. . International Journal of Remote Sensing , 24 : 1783 – 1796 .
   Web of Science ®Google Scholar
• Saint , G. 1994a . 32 Vegetation on board SPOT 4, mission specifications, Institute for Remote Sensing Applications, Joint Research Center, European Commission, Ispra, Italy
   Google Scholar
• Saint , G. 1994b . 11 Vegetation on board SPOT 4, products specifications, Institute for Remote Sensing Applications, Joint Research Center, European Commission, Ispra, Italy
   Google Scholar
• Schimel , D. S. , Hibbard , K. A. , Bousquet , P. , Ciais , P. , Peylin , P. , Braswell , B. H. , Apps , M. J. , Baker , D. , Bondeau , A. , Canadell , J. , Churkina , G. , Cramer , W. , Denning , A. S. , Field , C. B. , Friedlingstein , P. , Goodale , C. , Heinmann , M. , Houghton , R. A. , Melillo , J. M. , Moore , III, B. , Murdiyarso , D. , Noble , I. , Pacala , S. W. , Prentice , I. C. , Raupach , M. R. , Rauner , P. J. , Scholes , R. J. , Steffen , W. L. , Steinberg , D. and Colla , P. (Eds). 1997 . CART, Classification and Regression trees , San Diego : Salford Systems .
   Google Scholar
• Silva , J. M. N. , Pereira , J. M. C. , Cabral , A. I. , Sá , A. C. L. , Vasconcelos , M. J. P. , Mota , B. and Grégoire , J‐M. 2003 . An estimate of the area burned in southern Africa during the 2000 dry season using SPOT‐Vegetation satellite data. . Journal of Geophysical Research , 108 : 8498 – 8508 .
   Web of Science ®Google Scholar
• Simard , M. , Saatchi , S. and de Grandi , G. 2000 . The use of decision tree and multiscale texture for classification of JERS‐1 SAR data over tropical forest. . IEEE Transactions on Geoscience Remote Sensing , 38 : 2310 – 2321 .
   Web of Science ®Google Scholar
• Strahler A. 2003. Validation of the consistent year V0003 Modis land cover product, URL: http://geography.bu.edu/landcover/userguidelc/consistent.htm/ , Department of Geography, Boston University
   Google Scholar
• Strahler , A. , Muchoney , D. , Borak , J. , Friedl , M. , Gopal , S. , Lambin , E. and Moody , A. 1999 . MODIS land cover product, algorithm theoretical basis document, version 5.0, Department of Geography, Boston University
   Google Scholar
• Stroppiana , D. and Grégoire , J‐M. 2002 . “ Using temporal change of the land cover spectral signal to improve burnt area mapping. ” . In Analysis of Multi‐temporal Remote Sensing ImagesItaly: World Scientific) Edited by: Bruzzone , L and Smith (Eds) , P . 209 – 216 . In
   Google Scholar
• Sylvander , S. , Henry , P. , Bartien‐Thiry , C. , Meunier , F. and Fuster , D. 2000 . “ Vegetation geometrical image quality. ” . In Proceedings of the Vegetation 2000 Conference 33 – 44 . 3–6 April 2000, Italy (Varese–Italy: European Commission)
   Google Scholar
• White , F. 1981 . Carte de vegetation de l'Afrique (1 : 5 000 000), nesco/AETFAT/UNSO vegetation map of Africa, Paris (Unesco)
   Google Scholar
• White , F. (Ed.). 1983 . The vegetation of Africa, a descriptive memoir to accompany the UNESCO/AETFAT/UNSO vegetation map of Africa, Paris (Unesco)
   Google Scholar
• Wild , H. and Barbosa , L. A. G. 1968 . Vegetation map of the flora Zambesiaca area (1 : 2500 000), Rhodesian copyright topographic mapping, Permission of the Surveyor General, Salisbury
   Google Scholar