Our Results

Explore the latest scientific publications and research findings on GeoWiki.

Mapping drivers of tropical forest loss with satellite time series and AI

In this study, we developed and trained a deep learning model to classify the drivers of any forest loss—including deforestation—from satellite image time series.

Linda See

Jul 28, 2025

Method

Monitoring Land Use Change with Earth Observation

Land cover and land-use data are particularly important due to their ability to provide objective and quantitative information that informs the development, implementation, and assessment of policies.

Fritz., et al.

Sep 13, 2023

Article

Contributions of Citizen Science to the SDGs

This collection brings together 21 papers that address the relationship between citizen science and the SDGs and/or other international agreements and frameworks.

Fraisl., et al.

Aug 9, 2023

Dataset

Global forest management data at 100 m resolution

The first reference data set and prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes.

Lesiv, M., et al.

Aug 9, 2023

Article

Deforestation caused by industrial mining

Here, we present a biome-wide assessment to show where industrial mine expansion has caused the most deforestation from 2000 to 2019.

Victor Maus

Nov 23, 2022

Method

A method for optimizing volunteer contributions

In this paper, we develop a system to decide when enough information has been accumulated to confidently declare an image to be classified and remove it from circulation.

Carl Salk

Nov 20, 2022

Article

Estimating global economic well-being

Combining global satellite luminosity and built-up areas finds 19% of buildings unlit, majority associated with low levels of well-being.

McCallum, I., et al.

Nov 20, 2022

Case Study

SDGs and Citizen Science

Citizen science offers a novel solution and an untapped opportunity to complement traditional sources of data for monitoring progress towards the SDGs.

Fraisl, D., et. al.

Nov 17, 2022

Dataset

Indirect Land Use Change

High-resolution crowdsourced drivers of tropical forest loss between 2008 and 2019 to advise EU policy makers and inform the public.

Laso Bayas et. al.

Nov 16, 2022

Showing 9 publications in our collection