Remote sensing time series to evaluate direct land use change of recent expanded sugarcane crop in Brazil

Sustainability

Volumn 4, Issue 4, 2012, Pages 574-585

  Adami, Marcos ^a   Rudorff, Bernardo Friedrich Theodor ^a   Freitas, Ramon Morais ^a   Aguiar, Daniel Alves ^a   Sugawara, Luciana Miura ^a   Mello, Marcio Pupin ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

Biofuels; Luc; Modis; Monitoring

Indexed keywords

AGRICULTURAL ROBOTS; BIOFUELS; CROPS; DEFORESTATION; EXPANSION; MAPS; MONITORING; RADIOMETERS; REMOTE SENSING; TIME SERIES;

AGRICULTURE EXPANSION; GLOBAL CARBON EMISSION; INDIRECT LAND-USE CHANGES; MODIS; MODIS TIME SERIES; REMOTE SENSING IMAGES; SUGARCANE CROPS; SYSTEMATIC SAMPLING;

LAND USE;

BRAZIL; CLIMATES; DEFORESTATION; FUELS; IMAGE ANALYSIS; LAND USE; MAPS; MONITORING; RADIO WAVES; REMOTE SENSING; TIME SERIES ANALYSIS;

EID: 84861402131     PISSN: 20711050     EISSN: None     Source Type: Journal    
DOI: 10.3390/su4040574     Document Type: Article

References (41)

1. Zuurbier, P.J.P.; van de Vooren, J. Sugarcane ethanol: Contributions to climate change mitigation and the environment; Wageningen Academic Publishers: Wageningen, The Netherlands, 2008.
2. Goldemberg, J. Ethanol for a sustainable energy future. Science 2007, 315, 808-810.
3. Coelho, S.T.; Goldemberg, J.; Lucon, O.; Guardabassi, P. Brazilian sugarcane ethanol: Lessons learned. Energy Sustain. Dev. 2006, 10, 26-39.
4. Nass, L.L.; Pereira, P.A.A.; Ellis, D. Biofuels in Brazil: An overview. Crop Sci. 2007, 47, 2228-2237.
5. Hira, A.; Oliveira, L.G. No substitute for oil? How Brazil developed its ethanol industry. Energy Policy 2009, 37, 2450-2456.
6. Rudorff, B.F.T.; Aguiar, D.A.; Silva, W.F.; Sugawara, L.M.; Adami, M.; Moreira, M.A. Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using Landsat data. Remote Sens. 2010, 2, 1057-1076.
7. Goldemberg, J.; Coelho, S.T.; Guardabassi, P. The sustainability of ethanol production from sugarcane. Energy Policy 2008, 36, 2086-2097.
8. Smeets, E.; Junginger, M.; Faaij, A.; Walter, A.; Dolzan, P.; Turkenburg, W. The sustainability of Brazilian ethanol: An assessment of the possibilities of certified production. Biomass Bioenergy 2008, 32, 781-813.
9. Loarie, S.R.; Lobell, D.B.; Asner, G.P.; Mu, Q.; Field, C.B. Direct impacts on local climate of sugar-cane expansion in Brazil. Nat. Clim. Change 2011, 1, 105-109.
10. Martinelli, L.A.; Garrett, R.; Ferraz, S.; Naylor, R. Sugar and ethanol production as a rural development strategy in Brazil: Evidence from the state of São Paulo. Agric. Syst. 2011, 104, 419-428.
11. Mueller, S.A.; Anderson, J.E.; Wallington, T.J. Impact of biofuel production and other supply and demand factors on food price increases in 2008. Biomass Bioenergy 2011, 35, 1623-1632.
12. Hill, J.; Polasky, S.; Nelson, E.; Tilman, D.; Huo, H.; Ludwig, L.; Neumann, J.; Zheng, H.; Bonta, D. Climate change and health costs of air emissions from biofuels and gasoline. Proc. Natl. Acad. Sci. USA 2009, 106, 2077-2082.
13. Kim, H.; Kim, S.; Dale, B.E. Biofuels, land use change, and greenhouse gas emissions: Some unexplored variables. Environ. Sci. Technol. 2009, 43, 961-967.
14. Macedo, I.C.; Seabra, J.E.A.; Silva, J.E.A.R. Green house gases emissions in the production and use of ethanol from sugarcane in Brazil: The 2005/2006 averages and a prediction for 2020. Biomass Bioenergy 2008, 32, 582-595.
15. Figueiredo, E.B.; La Scala, N., Jr. Greenhouse gas balance due to the conversion of sugarcane areas from burned to green harvest in Brazil. Agric. Ecosyst. Environ. 2011, 141, 77-85.
16. Lapola, D.M.; Schaldach, R.; Alcamo, J.; Bondeau, A.; Koch, J.; Koelking, C.; Priess, J.A. Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proc. Natl. Acad. Sci. USA 2010, 107, 3388-3393.
17. Nassar, A.M.; Rudorff, B.F.T.; Antoniazzi, L.B.; Aguiar, D.A.; Bacchi, M.R.P.; Adami, M. Prospects of the sugarcane expansion in Brazil: Impacts on direct and indirect land use changes. In Sugarcane ethanol: Contributions to climate change mitigation and the environment, Zuurbier, P., van De Vooren, J., Eds.; Wageningen Academic Publishers: Wageningen, The Netherlands, 2008; pp. 63-92.
18. IBGE: Instituto Brasileiro de Geografia e Estatística. Sistema IBGE de Recuperação Automática. 2011. Available online: http://www.sidra.ibge.gov.br/ (accessed on 15 June 2011).
19. CANASAT: Sugarcane Crop Mapping in Brazil by Earth Observing Satellite Images. Maps and Graphs; 2011. Available online: http://www.dsr.inpe.br/laf/canasat/en/map.html (accessed on 15 June 2011).
20. Jank, M.S. Etanol: Novo ciclo de crescimento. 2011. Available online: http://www.unica.com.br/ opiniao/show.asp?msgCode=3FAE426A-0046-4987-8CAF-C2ADDDF86BF9 (accessed on 23 July 2011).
21. Silva, W.F.; Aguiar, D.A.; Rudorff, B.F.T.; Sugawara, L.M. Canasat Project: Monitoring of the sugarcane cultivation area in South central Brazil. In Proceedings of ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, 5-7 July 2010; Wagner, W., Székely, B., Eds.; ISPRS: Vienna, Austria, 2010; Volume XXXVIII, Part 7B, pp. 535-540.
22. Visualisation of MODIS time series for land use and land cover change analyses. 2011. Avaliable online: https://www.dsr.inpe.br/laf/series/en/index.html (accessed on 19 April 2011).
23. Cochran, W.G. Sampling techniques; John Wiley & Sons: New York, NY, USA, 1977; p. 428.
24. NASA. National Aeronautics and Space Administration. The warehouse inventory search tool. Available online: http://edcimswww.cr.usgs.gov/pub/imswelcome/. (accessed on 15 March 2011).
25. Vermote, E.F.; Vermeulen, A. Atmospheric correction algorithm: Spectral reflectances (MOD09). Algorithm Theoretical Background. In National Aeronautics and Space Administration: 1999; p. 107. Available online: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod08.pdf (accessed on 25 May 2011).
26. Freitas, R.M.; Arai, E.; Adami, M.; Ferreira, A.S.; Sato, F.Y.; Shimabukuro, Y.E.; Rosa, R.R.; Anderson, L.O.; Rudorff, B.F.T. Virtual laboratory of remote sensing time series: Visualization of MODIS EVI2 data set over South America. JCIS J. Comput. Interdiscip. Sci. 2011, 2, 57-68.
27. Sakamoto, T.; Yokozawa, M.; Toritani, H.; Shibayama, M.; Ishitsuka, N.; Ohno, H. A crop phenology detection method using time-series MODIS data. Remote Sens. Environ. 2005, 96, 366-374.
28. Thayn, J.B.; Price, K.P. Julian dates and introduced temporal error in remote sensing vegetation phenology studies. Int. J. Remote Sens. 2008, 29, 6045-6049.
29. Daubechies, I. Ten lectures on wavelets; Society for Industrial and Applied Mathematics: Philadelphia, PA, USA, 1992; p. 352.
30. Jiang, Z.; Huete, A.R.; Didan, K.; Miura, T. Development of a two-band enhanced vegetation index without a blue band. Remote Sens. Environ. 2008, 112, 3833-3845.
31. CONAB: Companhia Nacional de Abastecimento. Perfil do Setor de Açúcar e Álcool no Brasil; CONAB: Brasilia, Brazil, 2008; p. 76.
32. Boddey, R.M.; Xavier, D.F.; Alves, B.J.R.; Urquiaga, S. Brazilian agriculture: The transition to sustainability. J. Crop Prod. 2003, 9, 593-621.
33. Naylor, B.Y.R.L.; Liska, A.J.; Burke, M.B.; Falcon, W.P.; Gaskell, J.C.; Rozelle, S.D.; Cassman, K.G. The ripple efect: Biofuels, food security, and the environment. Environment 2007, 49, 30-43.
34. Costa, F.P.; Rehman, T. Exploring the link between farmers' objectives and the phenomenon of pasture degradation in the beef production systems of Central Brazil. Agric. Syst. 1999, 61, 135-146.
35. Searchinger, T.; Heimlich, R.; Houghton, R.A.; Dong, F.; Elobeid, A.; Fabiosa, J.; Tokgoz, S.; Hayes, D.; Yu, T.-H. Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 2008, 319, 1238-1240.
36. EPA: Environmental Protection Agency. Draft regulatory impact analysis: Changes to renewable fuel standard program; EPA: Washington, DC, USA, 2009.
37. Leite, R.C.; Leal, M.R.; Cortez, L.A.; Griffin, W.M.; Scandiffio, M.I. Can Brazil replace 5% of the 2025 gasoline world demand with ethanol? Energy 2009, 34, 655-661.
38. Macedo, L.O.B. Modernização da pecuária de corte bovina no Brasil e a importância do crédito rural. Inf. Econ. 2006, 36, 83-95.
39. Nassar, A.M. Brazil as an economic superpower. In Brazil as an economic superpower? Understanding Brazil's changing role in the global economy, 1st ed.; Brainard, L., Martinez-Diaz, L., Eds.; Brookings Institution: Washington, DC, USA, 2009; pp. 55-80.
40. CONAB: Companhia Nacional de Abastecimento. Séries históricas relativas às safras 1976/77 a 2009/2010 de área plantada, produtividade e produção; CONAB, Ed.; Brasilia, Brazil, 2011. Available online: http://www.conab.gov.br/conteudos.php?a=1252&t=2 (accessed on 17 September 2011).
41. Rudorff, B.F.T.; Adami, M.; Aguiar, D.A.; Moreira, M.A.; Mello, M.P.; Fabiani, L.; Amaral, D.F.; Pires, B.M. The soy moratorium in the Amazon biome monitored by remote sensing images. Remote Sens. 2011, 3, 185-202