Advertisement

Environmental Monitoring and Assessment

, Volume 166, Issue 1–4, pp 113–124 | Cite as

Land cover mapping of the tropical savanna region in Brazil

  • Edson E. Sano
  • Roberto Rosa
  • Jorge L. S. Brito
  • Laerte G. Ferreira
Article

Abstract

The Brazilian tropical savanna (Cerrado), encompassing more than 204 million hectares in the central part of the country, is the second richest biome in Brazil in terms of biodiversity and presents high land use pressure. The objective of this study was to map the land cover of the Cerrado biome based on the segmentation and visual interpretation of 170 Landsat Enhanced Thematic Mapper Plus satellite scenes acquired in 2002. The following land cover classes were discriminated: grasslands, shrublands, forestlands, croplands, pasturelands, reforestations, urban areas, and mining areas. The results showed that the remnant natural vegetation is still covering about 61% of the biome, however, on a highly asymmetrical basis. While natural physiognomies comprise 90% of the northern part of the biome, only 15% are left in its southern portions. Shrublands were the dominant natural land cover class, while pasturelands were the dominant land use class in the Cerrado biome. The final Cerrado’s land cover map confirmed the intensive land use pressure in this unique biome. This paper also showed that Landsat-like sensors can provide feasible land cover maps of Cerrado, although ancillary data are required to help image interpretation.

Keywords

Land use Land cover mapping Brazilian savanna Cerrado 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allevato, S. R. (1979). Memória central do projeto Radambrasil. Revista Brasileira de Cartografia, 25, 31–36.Google Scholar
  2. Asner, G. P., Knapp, D. E., Cooper, A. N., Bustamante, M. C., & Orlander, L. P. (2005). Ecosystem structure throughout the Brazilian Amazon from Landsat observations and automated spectral unmixing. Earth Interactions, 9(Paper 7), 31.Google Scholar
  3. Camara, G., Souza, R. C. M., Freitas, U. M., & Garrido, J. (1996). SPRING: Integrating remote sensing and GIS by object-oriented data model. Computer Graphics, 20, 395–403. doi: 10.1016/0097-8493(96)00008-8.CrossRefGoogle Scholar
  4. Cianciaruso, M. V., Batalha, M. A., & Silva, I. G. A. (2005). Seasonal variation of a hyperseasonal Cerrado in Emas National Park, central Brazil. Flora, 200, 345–353.Google Scholar
  5. Goedert, W. J. (1985). Solos do Cerrado. Tecnologias e Estrategias de Manejo (p. 422). São Paulo: Nobel; Brasilia: Embrapa-CPAC.Google Scholar
  6. Jepson, W. (2005). A disappearing biome? Reconsidering land cover change in the Brazilian savanna. The Geographical Journal, 17, 99–111. doi: 10.1111/j.1475-4959.2005.00153.x.CrossRefGoogle Scholar
  7. Justice, C. O., Townshend, J. R. G., Vermote, E., Masuoka, E., Wolfe, R., Saleous, N., et al. (2002). An overview of MODIS land data processing and product status. Remote Sensing of Environment, 83, 3–15. doi: 10.1016/S0034-4257(02)00084-6.CrossRefGoogle Scholar
  8. Klink, C. A., & Machado, R. B. (2005). Conservation of the Brazilian Cerrado. Conservation Biology, 19, 707–713. doi: 10.1111/j.1523-1739.2005.00702.x.CrossRefGoogle Scholar
  9. Klink, C. A., & Moreira, A. G. (2002). Past and current human occupation, and land use (chapter 5). In P. S. Oliveira & R. J. Marquis (Eds.), The Cerrados of Brazil (pp. 68–88). New York: Columbia University Press.Google Scholar
  10. Myers, N., Mittermeyer, R. A., Mittermeyer, C. G., Fonseca, G. A., & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403, 853–858. doi: 10.1038/35002501.CrossRefGoogle Scholar
  11. Oliveira-Filho, A. T., & Ratter, J. (2002). Vegetation physiognomies and woody flora of the Cerrado biome. In P. S. Oliveira & T. J. Marquis (Eds.), The Cerrados of Brazil: Ecology and natural history of a neotropical savanna (pp. 91–120). New York: Columbia University Press.Google Scholar
  12. Ouma, Y. O., Josaphat, S. S., & Tateishi, R. (2008). Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling: Theoretical exposition and experimental results for forestland cover change analysis. Computers & Geosciences, 34(7), 715–737. doi: 10.1016/j.cageo.2007.05.021.CrossRefGoogle Scholar
  13. Ratter, J. A., Bridgewater, S., & Ribeiro, J. F. (2006). Biodiversity patterns of the woody vegetation of the Brazilian Cerrados (chapter 2). In T. Penington & J. A. Ratter (Eds.), Neotropical savannas and seasonally dry forests (pp. 31–66). Florida: Boca Raton.Google Scholar
  14. Ribeiro, J. F., & Walter, B. M. T. (1998). Fitofisionomias do Bioma Cerrado (chapter 3). In S. M. Sano & S. P. Almeida (Eds.), Cerrado: Ambiente e Flora (pp. 87–166). Planaltina: EMBRAPA-CPAC.Google Scholar
  15. Sano, E. E., Barcellos, A. O., & Bezerra, H. S. (2000). Assessing the spatial distribution of cultivated pastures in the Brazilian savanna. Pasturas Tropicales, 23, 2–15.Google Scholar
  16. Sano, E. E., Ferreira, L. G., & Huete, A. R. (2005). Synthetic aperture radar (L-band) and optical vegetation indices for discriminating the Brazilian savanna physiognomies: A comparative analysis. Earth Interactions, 9(Paper no. 15), 1–15.CrossRefGoogle Scholar
  17. Sano, E. E., Ferreira, L. G., Asner, G. P., & Steinke, E. T. (2007). Spatial and temporal probabilities of obtaining cloud-free Landsat images over the Brazilian tropical savanna. International Journal of Remote Sensing, 28(12), 2739–2752. doi: 10.1080/01431160600981517.CrossRefGoogle Scholar
  18. Sano, E. E., Rosa, R., Brito, J. L. S., & Ferreira, L. G. (2008). Mapeamento semidetalhado do uso da terra do Bioma Cerrado. Pesquisa Agropecuaria Brasileira, 43(1), 153–156. doi: 10.1590/S0100-204X2008000100020.Google Scholar
  19. Scolforo, J. R., & Carvalho, L. M. T. (2006). Mapeamento da Inventario Flora Nativa e dos Reflorestamentos de Minas Gerais (p. 288). Lavras: UFLA.Google Scholar
  20. Shimabukuro, Y. E., Novo, E. M., & Mertes, L. K. (2002). Amazon river mainstream foodplain Landsat TM digital mosaic. International Journal of Remote Sensing, 23(1), 57–69. doi: 10.1080/01431160010029165.CrossRefGoogle Scholar
  21. Silva, J. M. C., & Bates, J. M. (2002). Biogeographic patterns and conservation in the South American Cerrado: A tropical savanna hotspot. Bioscience, 52(3), 225–233. doi: 10.1641/0006-3568(2002)052[0225:BPACIT]2.0.CO;2.CrossRefGoogle Scholar
  22. Star, J., & Estes, J. (1990). Geographic information systems. An introduction (p. 303). Englewood Cliffs: Prentice Hall.Google Scholar
  23. Story, M. (1986). Accuracy assessment: A user’s perspective. Photogrammetric Engineering and Remote Sensing, 52, 397–399.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Edson E. Sano
    • 1
  • Roberto Rosa
    • 2
  • Jorge L. S. Brito
    • 2
  • Laerte G. Ferreira
    • 3
  1. 1.Embrapa CerradosPlanaltinaBrazil
  2. 2.Universidade Federal de UberlândiaUberlândiaBrazil
  3. 3.Universidade Federal de GoiasGoiâniaBrazil

Personalised recommendations