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Information from Earth Observation for the Management of Sustainable Land Use and Land Cover in Brazil: An Analysis of User Needs

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  • Mercio Cerbaro

    (Centre for Environment & Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Stephen Morse

    (Centre for Environment & Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Richard Murphy

    (Centre for Environment & Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Jim Lynch

    (Centre for Environment & Sustainability, University of Surrey, Guildford GU2 7XH, UK)

  • Geoffrey Griffiths

    (Department of Geography, University of Reading, Reading RG6 6ABRG6 6AB, UK)

Abstract

Brazil has some of the world’s most important forest and natural ecosystem resources and their sustainability is of global importance. The expansion of agriculture for livestock, the extractive industries, illegal logging, land conflicts, fire and deforestation are pressures on land use and drivers of land use change in many regions of Brazil. While different institutions in Brazil have sought to use Earth Observation (EO) data to support better land use management and conservation projects, several problems remain at the national and state level in the implementation of EO to support environmental policies and services provided to Brazilian society. This paper presents the results of a systematic analysis of the key challenges in using EO data in land management in Brazil and summarises them in a conceptual model of the factors influencing EO data use for assessing sustainable land use and land cover in Brazil. The research was based on a series of in-depth, semi-structured interviews (43) and structured interviews (53) with key stakeholders who make use of EO data across different locations in Brazil. The major challenges identified in the complex and multifaceted aspects of using this information were associated with access to, and with the processing of, raw data into usable information. The analysis also revealed novel insights on a lack of inter-institutional communication, adequate office infrastructure and personnel, availability of the right type of EO data and funding restrictions, political instability and bureaucracy as factors that limit more effective use of EO data in Brazil at present. We close this analysis by considering how EO information for the sustainable management of land use and land cover can assist institutions as they respond to the varied political and economic instabilities affecting environmental governance and deforestation levels.

Suggested Citation

  • Mercio Cerbaro & Stephen Morse & Richard Murphy & Jim Lynch & Geoffrey Griffiths, 2020. "Information from Earth Observation for the Management of Sustainable Land Use and Land Cover in Brazil: An Analysis of User Needs," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:489-:d:306556
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    References listed on IDEAS

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    1. Luiz E. O. C. Aragão & Liana O. Anderson & Marisa G. Fonseca & Thais M. Rosan & Laura B. Vedovato & Fabien H. Wagner & Camila V. J. Silva & Celso H. L. Silva Junior & Egidio Arai & Ana P. Aguiar & Jos, 2018. "21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Jim Lynch & Mark Maslin & Heiko Balzter & Martin Sweeting, 2013. "Choose satellites to monitor deforestation," Nature, Nature, vol. 496(7445), pages 293-294, April.
    3. Roitman, Iris & Cardoso Galli Vieira, Ludgero & Baiocchi Jacobson, Tamiel Khan & da Cunha Bustamante, Mercedes Maria & Silva Marcondes, Nívea Jorgia & Cury, Kátia & Silva Estevam, Luciana & da Costa R, 2018. "Rural Environmental Registry: An innovative model for land-use and environmental policies," Land Use Policy, Elsevier, vol. 76(C), pages 95-102.
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    1. Mercio Cerbaro & Stephen Morse & Richard Murphy & Jim Lynch & Geoffrey Griffiths, 2020. "Challenges in Using Earth Observation (EO) Data to Support Environmental Management in Brazil," Sustainability, MDPI, vol. 12(24), pages 1-17, December.

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