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

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

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

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.

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

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.