A webmapping platform for publishing, sharing, and managing EO-derived data for forest protection

Karin Viergever; Pedro R. Andrade; Manoel Cardoso; Miguel Castillo; Jean-François Exbrayat; Sarah Middlemiss; David Milodowski; Edward T. A. Mitchard; Jean Ometto; Veronique Morel; Richard Tipper; Mathew Williams

doi:10.1117/12.2242030

18 October 2016 A webmapping platform for publishing, sharing, and managing EO-derived data for forest protection

Karin Viergever, Pedro R. Andrade, Manoel Cardoso, Miguel Castillo, Jean-François Exbrayat, Sarah Middlemiss, David Milodowski, Edward T. A. Mitchard, Jean Ometto, Veronique Morel, Richard Tipper, Mathew Williams

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Proceedings Volume 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII; 1000511 (2016) https://doi.org/10.1117/12.2242030
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

Ecometrica, together with partners in the UK, Mexico and Brazil, have collaborated on a UK Space Agency international partnership space programme (IPSP) project to advance EO applications in forests. A key objective was to improve EO derived information management for forest protection. Ecometrica’s cloud-based mapping platform was used to establish regional EO Labs within the partner organizations: ECOSUR (Mexico), INPE and FUNCATE (Brazil) and the University of Edinburgh (UK). The regional networks of EO Labs have provided a unified view of forestry-related data that is easy to access. In Mexico and Brazil the EO Labs enabled collaboration between research organisations and NGOs to develop applications for monitoring forest change in specified study areas and has enabled the compilation of previously unavailable regional EO and other spatial datasets into products that can be used by researchers, NGOs and state governments. Data on forest loss was linked to dynamic earth system models developed by the University of Edinburgh and INPE, utilising the EO Labs to provide an intuitive and powerful environment in which non-expert end- users can investigate the results from the huge datasets produced by multi-run model simulations. This paper demonstrates and discusses examples of mapping applications created on Ecometrica EO Labs by ECOSUR, INPE and the University of Edinburgh as part of this project, illustrating how cloud technology can enhance the field of forest protection.

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Karin Viergever, Pedro R. Andrade, Manoel Cardoso, Miguel Castillo, Jean-François Exbrayat, Sarah Middlemiss, David Milodowski, Edward T. A. Mitchard, Jean Ometto, Veronique Morel, Richard Tipper, and Mathew Williams "A webmapping platform for publishing, sharing, and managing EO-derived data for forest protection", Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 1000511 (18 October 2016); https://doi.org/10.1117/12.2242030

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KEYWORDS

Carbon

Data modeling

Atmospheric modeling

Vegetation

Earth observing sensors

Climatology

Ecosystems

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