Creating modern, cloud-first, intuitive, secure back- and frontend solutions
API development for important biodiversity areas (IBAs)
Duration: 2018 - 2019
Client: Birdlife International
Tools & Technology: ASP.NET Core, OAuth & OpenID Connect, PostgreSQL & PostGIS, Docker, OpenAPI
Development of a backend API to collect and review threats reported for BirdLife's IBAs (Important Biodiversity Areas). The API is consumed by both the mobile apps as well as by the web application.
Building a campaign system for the LACO-Wiki land cover validation platform
Duration: 2016 - 2017
Client: WWF US
Tools & Technology: ASP.NET
Palm oil cultivation has been criticized for impacts on the natural environment, including deforestation, loss of natural habitats, which has threatened endangered species and increased greenhouse gas emissions. Maps of palm oil extent have been produced by NASA’s Jet Propulsion Lab by means of use of SAR (Synthetic Aperture Radar) imagery in several iterations.
Global forest plot data for earth observation and land surface modelling
Duration: 2015 - 2017
Client: ESA via IIASA
Tools & Technology: ASP.NET, PostgreSQL & PostGIS, OpenLayers
The International Forest Biomass Network (IFBN) is an international cooperation to establish and maintain a global in-situ forest biomass database. IFBN is launched under the auspices of the European Space Agency, to provide ground biomass data measurements for the Earth Explorer mission BIOMASS.
AusCover, is providing an online and mobile means to test and validate maps of land-cover and biophysical variables
Duration: 2015
Client: The University of Queensland, Australia
Tools & Technology: QGIS, PHP, JavaScript
As it is difficult to obtain accurate validation data over large areas, the Geo-Wiki website allows “citizen-scientists” and volunteers to view, with Google Earth as a backdrop, these maps in real time, and apply their local area knowledge to determine if the classification is correct or incorrect. If the mapped features are deemed incorrect, the volunteer submits information on which land-cover class or other variable would be more appropriate. The submitted validation information is recorded and used iteratively to produce new and more accurate land-cover and other biophysical parameter maps.