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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Original languageEnglish
Title of host publicationProc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII
PublisherSPIE
DOIs
Publication statusPublished - 18 Oct 2016

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