We are a team of environmental scientists dedicated at making sense of oceans of data and solving data driven environmental questions. With our combined expertise in remote sensing, ecological modelling, field surveys, data science & rescue we can provide end-to-end research & development solutions.
We support your data analysis and synthesis, ranging from remote sensing data processing to machine learning.
Our editorial services help you quickly draft a manuscript or grant framework. We help you communicate your research results efficiently.
We provide guidance in field survey planning, sampling protocol design and processing.
past & ongoing projects
Project lead. The project develops a multi-faceted database by making the archives of the Institut National pour l’Etude Agronomique du Congo belge digitally accessible.
We provide remote sensing validation expertise in support of product development.
We used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin.
We detail the protocol for the implementation of cameras on Integrated Carbon Observation System flux towers.
Project Lead. This project strives to transcribe old observations of tree life cycle events (flowering, leaf shedding, fruit dispersion), in central African Rainforests, which are key to understanding a tree’s functioning.
Central African climate data rescue using a computer vision, deep learning and crowd sourcing methods.
We provide a range of open source software packages in support of (academic) research. These projects are pooled in bluegreen labs.
We provide protocol development and data processing expertise in support of this IFPRI led project to mitigate basic risk in smallholder farmer insurance.
Project Lead. This project combines eco-physiological and dendrochronological research with a model based approach to increase our understanding of the response of African tropical tree species under climate change.
Most recent work
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