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Challenges in Using Earth Observation (EO) Data to Support Environmental Management in Brazil

Author

Listed:
  • 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 6AB, UK)

Abstract

This paper presents the results of research designed to explore the challenges involved in the use of Earth Observation (EO) data to support environmental management Brazil. While much has been written about the technology and applications of EO, the perspective of end-users of EO data and their needs has been under-explored in the literature. A total of 53 key informants in Brasilia and the cities of Rio Branco and Cuiaba were interviewed regarding their current use and experience of EO data and the expressed challenges that they face. The research builds upon a conceptual model which illustrates the main steps and limitations in the flow of EO data and information for use in the management of land use and land cover (LULC) in Brazil. The current paper analyzes and ranks, by relative importance, the factors that users identify as limiting their use of EO. The most important limiting factor for the end-user was the lack of personnel, followed by political and economic context, data management, innovation, infrastructure and IT, technical capacity to use and process EO data, bureaucracy, limitations associated with access to high-resolution data, and access to ready-to-use product. In general, users expect to access a ready-to-use product, transformed from the raw EO data into usable information. Related to this is the question of whether this processing is best done within an organization or sourced from outside. Our results suggest that, despite the potential of EO data for informing environmental management in Brazil, its use remains constrained by its lack of suitably trained personnel and financial resources, as well as the poor communication between institutions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10411-:d:461160
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    References listed on IDEAS

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    1. 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.
    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. Elinor Ostrom, 2014. "Do institutions for collective action evolve?," Journal of Bioeconomics, Springer, vol. 16(1), pages 3-30, April.
    4. Gabriel Popkin, 2016. "Satellite alerts track deforestation in real time," Nature, Nature, vol. 530(7591), pages 392-393, February.
    5. Terciane Sabadini Carvalho & Edson Paulo Domingues, 2016. "Controlling Deforestation In The Brazilian Amazon: Regional Economic Impacts And Land-Use Change," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 192, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Raoni Rajao & Yola Georgiadou, 2014. "Blame Games in the Amazon: Environmental Crises and the Emergence of a Transparency Regime in Brazil," Global Environmental Politics, MIT Press, vol. 14(4), pages 97-115, November.
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