@InProceedings{ViergeverACCEMMMOMTW:2016:WePlPu,
author = "Viergever, Karin M. and Andrade Neto, Pedro Ribeiro de and
Cardoso, Manoel Ferreira and Castillo, Miguel and Exbrayat,
Jean-Francois and Middlemiss, Sarah and Milodowski, David and
Mitchard, Edward T. A. and Ometto, Jean Pierre Henry Balbaud and
Morel, Veronique and Tipper, Richard and Williams, Mathew",
affiliation = "Ecometrica and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {El
Colegio de la Frontera Sur} and {The University of Edinburgh} and
Ecometrica and {The University of Edinburgh} and {The University
of Edinburgh} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and Ecometrica and {The University of Edinburgh} and {The
University of Edinburgh}",
title = "A webmapping platform for publishing, sharing and managing remote
sensingderived data for forest protection",
year = "2016",
organization = "SPIE Remote Sensing",
abstract = "Ecometrica has developed a web mapping platform that makes it easy
to access, organise, share, query and analyse spatial data on land
cover and ecosystem services without requiring GIS or remote
sensing expertise on the end user side. The platform is built on
spatial cloud technology and brings together relevant data, areas
of interest and people. It enables the move away from fragmented,
offline and siloed data management to up to date, connected and
controlled data curation, allowing improved stewardship of data.
Essential functions include viewing and querying spatial data.
Summary reports can be downloaded in both pdf and spreadsheet
format. Access is secure but mapping applications can also be made
publicly available. By providing access and analysis of expert
spatial data layers, the platform can be used in various ways e.g.
by publishing or sharing research results with peers, and
providing practical and insightful advice to non-specialist end
users, industry groups and policy makers. Depending on how a
mapping application has been customized, end-users can obtain
quantitative and qualitative information about resources, measure
impacts and opportunities, check compliance to environmental
legislation, monitor changes to vegetation, water and other
resources. 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. The key objective was to reduce
deforestation and degradation by improving EO derived information
management and forest change detection methods. The Ecometrica
Mapping platform was used to establish regional EO Labs within the
various partner organisations, e.g. ECOSUR in Mexico, INPE and
FUNCATE in Brazil. 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 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. The construction of pre-written
queries into each application builds in the expert guidance
required to query complex model data, which gives the data some
value outside of single research institutions, and enables their
application in land use management and planning. The EO Lab
facility in ECOSUR, Mexico has enabled the systematic compilation
of previously unavailable regional EO and related data assets into
products that can be used by researchers and state governments.
This paper will demonstrate and discuss various examples of
mapping applications created on Ecometrica EO Labs for the project
Advancing EO Applications in Forests, showing how cloud technology
can enhance the field of forest protection. We will show examples
that use EO-derived data for forest conservation and management
and we will discuss current developments for collaborative data
storage and curation functionality.",
conference-location = "Edinburgh, United Kingdom",
conference-year = "26-29 Sept.",
urlaccessdate = "27 abr. 2024"
}