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The CHOVE-CHUVA Earth observation platform to monitor socio-environmental dynamics in Mato Grosso, Brazil

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Abstract

Remote sensing science is expected to produce spatio-temporal indicators to help societies to address major global challenges. In this regard, we have implemented the CHOVE-CHUVA web platform to monitor socio-environmental dynamics in the Brazilian Amazon state of Mato Grosso. Result of a long-term collaboration between research labs, local NGOs, and administrations, this Space for Climate Observatory initiative relies on two major pillars: (1) visualizing and computing spatio-temporal indices derived from Earth Observation data and (2) collecting citizen information as part of collaborative science. A major asset of the platform is to gather, visualize, and process data covering a wide range of themes such as land status, land use, climate, natural vegetation, agriculture, and hydrology. The collaborative information refers to land use types that are still unusual in Mato Grosso, i.e., forest restoration and low-carbon agricultural practices. The implementation of the platform was based on a French open source geospatial data infrastructure named PRODIGE. Prospects for enhancing the platform include integrating new thematic information, making better use of raw Earth Observation data, improving interactions with end-users to better capture their interpretation of socio-environmental dynamics, and improving the platform’s efficiency to update data and process large study areas.

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Data availability

The data (spatio-temporal indices) that support the findings of this study are openly shown at www.sco.chove-chuva.org and are available from the corresponding author on request.

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Funding

This work was supported by 1) the French National Center for Space Studies (CNES) through the CHOVE-CHUVA Space For Climate Observatory (SCO CHOVE-CHUVA), 2) the CNES through the SEMTI-SENT project, 3) the French National Research Agency (ANR) through the TELKANTE LAB project, 4) the recruitment of two engineers under the France Relance plan, and 5) the European Joint Programme (EJP) for the institutional support and for fostering scientific collaboration, and the ANR for the financial support of the Project: Soil ecosystem services under sustainable intensification of agriculture – looking for innovative mapping and monitoring at multiple scales (ID number 31/SOIL-ES).

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Authors and Affiliations

  1. UMR LETG 6554 (CNRS, Univ Rennes 2, Univ Brest, Nantes Université), Rennes, 35000, France

    Damien Arvor, Vincent Dubreuil, Uelison M. Ribeiro & Beatriz M. Funatsu

  2. ALKANTE, Noyal-sur-Vilaine, 35530, France

    Julien Denize, Léa Rouxel & Arnaud Bellec

  3. CIRAD, UPR Forêts et Sociétés, Montpellier, 34398, France

    Julie Betbeder

  4. Forêts et Sociétés, Univ Montpellier, CIRAD, Montpellier, 34398, France

    Julie Betbeder

  5. CIRAD, UMR TETIS, Montpellier, 34093, France

    Agnès Bégué

  6. TETIS, Université de Montpellier, AgroParisTech, CIRAD, INRAE, Montpellier, 34093, France

    Agnès Bégué

  7. Instituto Centro de Vida, Alta Floresta-MT, 78580-000, Brazil

    Vinicius Silgueiro

  8. UNEMAT, Sinop-MT, 78555-000, Brazil

    Carlos A. da Silva Jr

  9. Secretaria de Estado de Meio Ambiente do Mato Grosso, Cuiabá-MT, 78053-128, Brazil

    André P. Dias

  10. EMBRAPA Solos, Rio de Janeiro-RJ, 22460-000, Brazil

    Margareth Simões & Rodrigo P. D. Ferraz

  11. UERJ, DESC/PPGMA/PPGEO, Rio de Janeiro-RJ, 20550-900, Brazil

    Margareth Simões & Patrick Kuchler

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  1. Damien Arvor
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  2. Julien Denize
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  3. Léa Rouxel
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  4. Vincent Dubreuil
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  5. Uelison M. Ribeiro
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Contributions

The concept for this work was developed by D. A., A. B. and A. B.. D. A., V. D., B. F., U. R., J. B., A. B., V. S., A. D., C. d. S., M. S., R. F. and P. K. listed the spatio-temporal indices to be displayed. D. A., A. B., U. R., J. D. and L. R. processed the data and implemented the web platform. D. A. wrote the original version of the paper and all authors contributed on specific sections. D. A., A. B., and A. B. managed the administration and acquisition of project funds. All authors have read and approved the published version of the manuscript.

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Damien Arvor.

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Arvor, D., Denize, J., Rouxel, L. et al. The CHOVE-CHUVA Earth observation platform to monitor socio-environmental dynamics in Mato Grosso, Brazil.
Sci Rep (2026). https://doi.org/10.1038/s41598-026-36640-w

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  • DOI: https://doi.org/10.1038/s41598-026-36640-w

Keywords

  • Climate
  • Land use dynamics
  • Remote sensing
  • Citizen science
  • Spatial data infrastructure

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