Environmental data science & editorial solutions

Making sense of oceans of data.

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From data to publication, making past & present environmental data work for you.

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.

services

our expertise

Data Science & Rescue

We support your data analysis and synthesis, ranging from remote sensing data processing to machine learning.

Science Communication

Our editorial services help you quickly draft a manuscript or grant framework. We help you communicate your research results efficiently.

Experimental design

We provide guidance in field survey planning, sampling protocol design and processing.

Portfolio

past & ongoing projects

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Congo basin eco-climatological data recovery and valorisation

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.

High Resolution Vegetation Phenology and Productivity

We provide remote sensing validation expertise in support of product development.

Historical Aerial Photography Valorization

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.

Integrated Carbon Observation System PhenoCam protocol

We detail the protocol for the implementation of cameras on Integrated Carbon Observation System flux towers.

Jungle Rhythms

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.

Jungle Weather

Central African climate data rescue using a computer vision, deep learning and crowd sourcing methods.

Open Source Software development

We provide a range of open source software packages in support of (academic) research. These projects are pooled in bluegreen labs.

Picture Based Insurance

We provide protocol development and data processing expertise in support of this IFPRI led project to mitigate basic risk in smallholder farmer insurance.

The Congo Basin drought resilience (an integrative modelling approach)

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.

Publications

Most recent work

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.

Smartphone repeat imagery quantifies important phenological stages of winter wheat. Small scale phenology or disturbances are not captured by satellite remote sensing. Using smartphone imagery can improve crop modeling and insurance for small farmers.

We detail the procedure for the implementation of cameras on Integrated Carbon Observation System flux towers and how these images will help us understand the impact of leaf phenology and ecosystem function, distinguish changes in canopy structure from leaf physiology and at larger scales will assist in the validation of (future) remote sensing products.

Recent Blog Posts

News, tutorials and more

Coarse raster data tricks

Adding additional Copernicus services to the ECMWF package

A first tutorial on how to build maps with ggplot2 in R

Our Team

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Koen Hufkens, PhD

Founder, Research Associate

Macro Ecology, Plant Physiology, Remote Sensing, Data Science & Rescue, Open Science Advocacy

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Elizabeth Kearsley, PhD.Eng

Associate, Research Associate

Tropical Ecology, Biodiversity, Plant Traits, Field Work

Contact

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