High spatial resolution land use and land cover mapping of the Brazilian legal Amazon in 2008 using Landsat-5/TM and MODIS data;Mapeamento do uso e cobertura da terra na Amazônia Legal Brasileira com alta resolução espacial utilizando dados Landsat-5/TM e MODIS

Acta Amazonica

Volumn 46, Issue 3, 2016, Pages 291-302

  Almeida, Cláudio Aparecido de ^a   Coutinho, Alexandre Camargo ^b   Esquerdo, Júlio César dalla Mora ^b   Adami, Marcos ^a   Venturieri, Adriano ^b   Diniz, Cesar Guerreiro ^a   Dessay, Nadine ^c   Durieux, Laurent ^c   Gomes, Alessandra Rodrigues ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b EMBRAPA CERRADOS   (Brazil)

^c INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

Author keywords

Image processing; Remote sensing; TerraClass; Tropical deforestation

Indexed keywords

EID: 84977549938     PISSN: 00445967     EISSN: None     Source Type: Journal    
DOI: 10.1590/1809-4392201505504     Document Type: Article

References (51)

1. Adami, M.; Moreira, M.A.; Rudorff, B.F.T.; Freitas, C.C.; Faria, R.T. De 2005. Direct expansion in the estimate of agricultural cultures by regular segments. Revista Brasileira de Cartografia, 2: 22-27.
2. Almeida, C.A. de; Valeriano, D.M.; Isabel, M., Escada, S., Rennó, D., 2010. Estimativa de área de vegetação secundária na Amazônia Legal Brasileira. Acta Amazonica, 40, 289-302.
3. Arino, O.; Gross, D.; Ranera, F.; Bourg, L.; Leroy, M.; Bicheron, P.; Latham, J. 2007. GlobCover: ESA service for global land cover from MERIS, in: Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International, 2412-2415.
4. Arvor, D.; Dubreuil, V.; Simões, M.; Bégué, A. 2012a. Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. GeoJournal 78, 833-850.
5. Arvor, D.; Meirelles, M.; Dubreuil, V.; Bégué, A.; Shimabukuro, Y. 2012b. Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Applied Geography, 32, 702-713.
6. Atzberger, C. 2013. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sensing, 5, 949-981.
7. Barona, E.; Ramankutty, N.; Hyman, G.; Coomes, O.T. 2010. The role of pasture and soybean in deforestation of the Brazilian Amazon. Environmental Research Letters, 5, 024002.
8. Bartholome, E., Belward, A.S., Achard, F., Eva, H., Fritz, S., Bartalev, S. 2002. GLC 2000 Global Land Cover mapping for the year 2000 Project status November 2002. Institute for Environment and Sustenability (VA) Italy. 62p
9. Bodart, C.; Eva, H.; Beuchle, R.; Raši, R.; Simonetti, D.; Stibig, H.J.; Brink, A.; Lindquist, E.; Achard, F. 2011. Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics. ISPRS Journal of. Photogrammetry and Remote Sensing, 66, 555-563.
10. Bontemps, S.; Defourny, P.; Eric, V.B. 2010. GLOBCOVER 2009 Products Description and Validation Report. ESA, Belgium. 30p
11. Bowman, M.S.; Soares-Filho, B.S.; Merry, F.D.; Nepstad, D.C.; Rodrigues, H.; Almeida, O.T. 2012. Persistence of cattle ranching in the Brazilian Amazon: A spatial analysis of the rationale for beef production. Land use policy, 29, 558-568.
12. Brandão, A.S.P.; Rezende, G.C. de; Marques, R.W. da C. 2006. Crescimento agrícola no período 1999/2004: a explosão da soja e da pecuária bovina e seu impacto sobre o meio ambiente. Economia Aplicada, 10, 249-266.
13. Câmara, G.; Souza, R.C.M.; Freitas, U.M.; Garrido, J.; 1996. Spring: Integrating remote sensing and gis by object-oriented data modelling. Computers & Graphics, 20, 395-403.
14. Ceddia, M.G.; Bardsley, N.O.; Gomez-y-Paloma, S.; Sedlacek, S. 2014. Governance, agricultural intensification, and land sparing in tropical South America. Proceedings of the National Academy of Sciences, 111, 7242-7247
15. Coutinho, A.C. 2009. Condicionantes da expansão da fronteira agricola em Mato Grosso. Revista de Política Agrícola, 17, 80-97.
16. Dubreuil, V.; Laques, A.-E.; Nédélec, V.; Arvor, D.; Gurgel, H. 2008. Paysages et fronts pionniers amazoniens sous le regard des satellites: l’exemple du Mato Grosso. L’Espace Géographique, 37, 57-74.
17. Espindola, G.M.; de Aguiar, A.P.D.; Pebesma, E.; Câmara, G.; Fonseca, L. 2012. Agricultural land use dynamics in the Brazilian Amazon based on remote sensing and census data. Applied Geography, 32, 240-252.
18. Eva, H.; Carboni, S.; Achard, F.; Stach, N.; Durieux, L.; Faure, J.-F.; Mollicone, D. 2010. Monitoring forest areas from continental to territorial levels using a sample of medium spatial resolution satellite imagery. ISPRS Journal of. Photogrammetry and Remote Sensing, 65, 191-197.
19. Fearnside, P.M. 2006. Desmatamento na Amazônia: dinâmica, impactos e controle. Acta Amazonica, 36, 395-400.
20. Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H. 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83, 287-302.
21. Friedl, M.A.; Sulla-Menashe, D.; Tan, B.; Schneider, A.; Ramankutty, N.; Sibley, A.; Huang, X. 2010. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168-182.
22. Gibbs, H.K.; Rausch, L.; Munger, J.; Schelly, I.; Morton, D.C.; Noojipady, P.; Barreto, P.; Micol, L.; Walker, N.F. 2014. Brazil’s Soy Moratorium. Science, 347, 377-378.
23. IBGE, 2012. IBGE Cidades@ (www.ibge.gov.br/cidadesat/ topwindow.htm?1) Acesso em 27/05/2012.
24. INPE, 2015. Projeto PRODES-Monitoramento da Floresta Amazônica Brasileira por Satélite (www.dpi.inpe.br/prodesdigital/ prodesmunicipal.php) Acesso em 12/08/2015.
25. Jakovac, C.C.; Peña-Claros, M.; Kuyper, T.W.; Bongers, F. 2015. Loss of secondary-forest resilience by land-use intensification in the Amazon. Journal of Ecology, 103, 67-77.
26. Jensen, J.R. 2009. Sensoriamento Remoto do Ambiente, 2da ed. Parêntese Editora, São José dos Campos, 2009, 598p.
27. Kelly, M.; Estes, J.E.; Knight, K.A. 1999. Image Interpretation Keys for Validation of Global Data Sets. Photogrammetric Engineering & Remote Sensing, 65, 1041-1049.
28. Lu, D. 2003. Linear mixture model applied to Amazonian vegetation classification. Remote Sensing of Environment, 87, 456-469.
29. Margulis, S. 2003. Causes of Deforestation of the Brazilian Amazon, World Bank Working Papers. The World Bank, Washington, 80p.
30. Mello, E.M.K.; Moreira, J.C.; Santos, J.R. dos; Shimabukuro, Y.; Duarte, V.; Souza, I. de M.; Barbosa, C.C.; Souza, R.C.M.; Paiva, J.A. de C. 2003. Tecnicas de Modelo de Mistura Espectral Segmentação e Classificação de Imagens TM/LANDSAT para o Mapeamento do Desflorestamento da Amazônia, in: XI SBSR. Belo Horizonte, 2807-2814.
31. MMA, 2006. Uso e cobertura da terra na Floresta Amazônica (Subprojeto 106/2004-PROBIO) (http://sistemas.mma.gov.br/sigepro/arquivos/_6/Relatorio_PROBIO_V2.pdf) Acesso em 06/01/2016.
32. Morton, D.C.; DeFries, R.S.; Shimabukuro, Y.; Anderson, L.O.; Arai, E.; delBonEspirito-Santo, F.; Freitas, R.; Morisette, J. 2006. Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon. Proceedings of the National Academy of Sciences, 103, 14637-14641.
33. NASA, 2001. Land Processes Distributed Active Archive Center (LP DAAC) (https://lpdaac.usgs.gov/data_access) Acesso em 14/05/2014.
34. Novo, E.M.L.de M., 2008. Sensoriamento Remoto princípios e aplicações, 3ra ed. Edgar Blusher Ltda, São Paulo, 2008, 364p.
35. Pardini, R.; de Souza, S.M.; Braga-Neto, R.; Metzger, J.P. 2005. The role of forest structure, fragment size and corridors in maintaining small mammal abundance and diversity in an Atlantic forest landscape. Biological Conservation, 124, 253-266.
36. Poccard-Chapuis, R.; Thales, M.; Venturieri, A.; Piketty, M.; Mertens, B.; Veiga, J.B. da; Tourrand, J. 2005. Filières de production et développement La filière viande: un levier pour contrôler les dynamiques pionnières en Amazonie brésilienne ? Cahiers d’études et de recherches francophones / Agricultures, 14, 53-58.
37. Ponzoni, F.J.; Shimabukuro, Y.; Kuplich, T.M.; 2012. Sensoriamento Remoto da Vegetação, 2da ed. Oficina de Textos, São Paulo, 2012, 160p.
38. Powell, R.L.; Matzke, N.; de Souza Jr., C.; Clark, M.; Numata, I.; Hess, L.L.; Roberts, D.A. 2004. Sources of error in accuracy assessment of thematic land-cover maps in the Brazilian Amazon. Remote Sensing of Environment, 90, 221-234.
39. Roerink, G.J.; Menenti, M.; Verhoef, W. 2000. Reconstructing cloudfree NDVI composites using Fourier analysis of time series. International Journal of Remote Sensing, 21, 1911-1917.
40. Rouse, J.W.; Haas, R.H.; Schell, J.A.; Deering, D.W., 1974. Monitoring vegetation systems in the Great Plains with ERTS, in: 3d ERTS-1 Symposium, NASA, Goddard Space Flight Center, United States, 309-317.
41. Rozon, C.; Lucotte, M.; Davidson, R.; Paquet, S.; Oestreicher, J.S.; Mertens, F.; Passos, C.J.S.; Romana, C. 2015. Spatial and temporal evolution of family-farming land use in the Tapajós region of the Brazilian Amazon. Acta Amazonica, 45, 203-214
42. Rudorff, B.F.T.; Adami, M.; Aguiar, D.A.; Moreira, M.A.; Mello, M.P.; Fabiani, L.; Amaral, D.F.; Pires, B.M. 2011. The soy moratorium in the Amazon biome monitored by remote sensing images. Remote Sensing, 3, 185-202.
43. Sayer, J.; Cassman, K.G. 2013. Agricultural innovation to protect the environment. Proceedings of the National Academy of Sciences, 110, 8345-8348.
44. Shimabukuro, Y.; Batista, G.T.; Mello, E.M.K.; Moreira, J.C.; Duarte, V. 1998. Using shade fraction image segmentation to evaluate deforestation in Landsat Thematic Mapper images of the Amazon Region. International Journal of Remote Sensing, 19, 535-541.
45. Soler, L.D.S.; Verburg, P.H.; Alves, D. 2014. Evolution of Land Use in the Brazilian Amazon: From Frontier Expansion to Market Chain Dynamics. Land 3, 981-1014.
46. Uhl, A.C.; Buschbacher, R.; Serrao, E.A.S. 1988. Abandoned Pastures in Eastern Amazonia. I. Patterns of Plant Succession. Journal of Ecology, 76, 663-681.
47. Verbesselt, J.; Zeileis, A.; Herold, M. 2012. Near real-time disturbance detection using satellite image time series. Remote Sensing of Environment, 123, 98-108.
48. Vieira, I.C.G.; Almeida, A.S. de; Davidson, E.A.; Stone, T.A.; Carvalho, C.J.R. de; Guerrero, J.B. 2003. Classifying successional forests using Landsat spectral properties and ecological characteristics in eastern Amazônia. Remote Sensing of Environment, 87, 470-481.
49. Villoria, N.B.; Byerlee, D.; Stevenson, J. 2014. The Effects of Agricultural Technological Progress on Deforestation: What Do We Really Know? Applied Economic Perspectives and Policy, 36, 211-237.
50. Vuolo, F.; Atzberger, C. 2012. Exploiting the Classification Performance of Support Vector Machines with Multi-Temporal Moderate-Resolution Imaging Spectroradiometer (MODIS) Data in Areas of Agreement and Disagreement of Existing Land Cover Products. Remote Sensing, 4, 3143-3167.
51. Wassenaar, T.; Gerber, P.; Verburg, P.H.; Rosales, M.; Ibrahim, M.; Steinfeld, H. 2007. Projecting land use changes in the Neotropics: The geography of pasture expansion into forest. Global Environmental Change, 17, 86-104.