Open-access publications, mathematical models, and field notes from the bleeding edge of environmental data science.
A comprehensive synthesis of how artificial intelligence is reshaping our understanding of global biodiversity, featuring aggregated data from over 40 distinct marine and terrestrial sensor networks.
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Our latest joint study demonstrates how predictive AI models can increase the cooling efficiency of newly planted urban forests by up to 22%.
A brief look into how we process terabytes of audio data to track endangered species through shifting migration corridors.
Analyzing radar and laser altimetry over the Greenland ice sheet to improve the accuracy of short-term sea-level rise models.
Leveraging uncrewed meteorological stations to map micro-climate fluctuations affecting agricultural output in sub-Saharan regions.