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Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil

Author

Listed:
  • Marcos Adami

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

  • Bernardo Friedrich Theodor Rudorff

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

  • Ramon Morais Freitas

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

  • Daniel Alves Aguiar

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

  • Luciana Miura Sugawara

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

  • Marcio Pupin Mello

    () (Remote Sensing Division (DSR), National Institute for Space Research (INPE), Av. dos Astronautas 1758, São José dos Campos, São Paulo 12227-010, Brazil)

Abstract

The use of biofuels to mitigate global carbon emissions is highly dependent on direct and indirect land use changes (LUC). The direct LUC (dLUC) can be accurately evaluated using remote sensing images. In this work we evaluated the dLUC of about 4 million hectares of sugarcane expanded from 2005 to 2010 in the South-central region of Brazil. This region has a favorable climate for rain-fed sugarcane, a great potential for agriculture expansion without deforestation, and is currently responsible for almost 90% of Brazilian’s sugarcane production. An available thematic map of sugarcane along with MODIS and Landast images, acquired from 2000 to 2009, were used to evaluate the land use prior to the conversion to sugarcane. A systematic sampling procedure was adopted and the land use identification prior to sugarcane, for each sample, was performed using a web tool developed to visualize both the MODIS time series and the multitemporal Landsat images. Considering 2000 as reference year, it was observed that sugarcane expanded: 69.7% on pasture land; 25.0% on annual crops; 0.6% on forest; while 3.4% was sugarcane land under crop rotation. The results clearly show that the dLUC of recent sugarcane expansion has occurred on more than 99% of either pasture or agriculture land.

Suggested Citation

  • Marcos Adami & Bernardo Friedrich Theodor Rudorff & Ramon Morais Freitas & Daniel Alves Aguiar & Luciana Miura Sugawara & Marcio Pupin Mello, 2012. "Remote Sensing Time Series to Evaluate Direct Land Use Change of Recent Expanded Sugarcane Crop in Brazil," Sustainability, MDPI, Open Access Journal, vol. 4(4), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:4:y:2012:i:4:p:574-585:d:17002
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    References listed on IDEAS

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    1. Hira, Anil & de Oliveira, Luiz Guilherme, 2009. "No substitute for oil? How Brazil developed its ethanol industry," Energy Policy, Elsevier, vol. 37(6), pages 2450-2456, June.
    2. Goldemberg, José & Coelho, Suani Teixeira & Guardabassi, Patricia, 2008. "The sustainability of ethanol production from sugarcane," Energy Policy, Elsevier, vol. 36(6), pages 2086-2097, June.
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    Citations

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    Cited by:

    1. Johanna Choumert & Pascale Combes Motel & Derya Keles & Eric Kere, 2017. "Does the Expansion of Biofuels Encroach on the Forest?," Working Papers 2017.24, FAERE - French Association of Environmental and Resource Economists.
    2. Quanlong Feng & Jianhua Gong & Jiantao Liu & Yi Li, 2015. "Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015," Sustainability, MDPI, Open Access Journal, vol. 7(11), pages 1-25, November.
    3. Filoso, Solange & Carmo, Janaina Braga do & Mardegan, Sílvia Fernanda & Lins, Silvia Rafaela Machado & Gomes, Taciana Figueiredo & Martinelli, Luiz Antonio, 2015. "Reassessing the environmental impacts of sugarcane ethanol production in Brazil to help meet sustainability goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1847-1856.
    4. Galdos, Marcelo & Cavalett, Otávio & Seabra, Joaquim E.A. & Nogueira, Luiz Augusto Horta & Bonomi, Antonio, 2013. "Trends in global warming and human health impacts related to Brazilian sugarcane ethanol production considering black carbon emissions," Applied Energy, Elsevier, vol. 104(C), pages 576-582.
    5. de Oliveira Bordonal, Ricardo & Lal, Rattan & Alves Aguiar, Daniel & de Figueiredo, Eduardo Barretto & Ito Perillo, Luciano & Adami, Marcos & Theodor Rudorff, Bernardo Friedrich & La Scala, Newton, 2015. "Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane (Saccharum officinarum) plantation in south-central Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 547-556.
    6. Derya Keles & Johanna Choumert & Pascale Combes & Eric Kere, 2017. "Does the expansion of biofuels encroach on the forest?," Working Papers hal-01652446, HAL.
    7. Arnaldo Walter & Marcelo Valadares Galdos & Fabio Vale Scarpare & Manoel Regis Lima Verde Leal & Joaquim Eugênio Abel Seabra & Marcelo Pereira da Cunha & Michelle Cristina Araujo Picoli & Camila Ortol, 2014. "Brazilian sugarcane ethanol: developments so far and challenges for the future," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(1), pages 70-92, January.
    8. Cristian Youlton & Edson Wendland & Jamil Alexandre Ayach Anache & Carlos Poblete-Echeverría & Seth Dabney, 2016. "Changes in Erosion and Runoff due to Replacement of Pasture Land with Sugarcane Crops," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-12, July.

    More about this item

    Keywords

    LUC; biofuels; monitoring; MODIS;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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