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Found 5 papers, 2 papers with code
Predicting Species Occurrence Patterns from Partial Observations
To address this task, we propose a general model, R-Tran, for predicting species occurrence patterns that enables the use of partial observational data wherever found.
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
The wide availability of remote sensing data and the growing adoption of citizen science tools to collect species observations data at low cost offer an opportunity for improving biodiversity monitoring and enabling the modelling of complex ecosystems.
Bird Distribution Modelling using Remote Sensing and Citizen Science data
Climate change is a major driver of biodiversity loss, changing the geographic range and abundance of many species.
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Climate change is a major threat to humanity, and the actions required to prevent its catastrophic consequences include changes in both policy-making and individual behaviour.
Using Simulated Data to Generate Images of Climate Change
In our paper, we explore the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture, aiming to use the resulting images to raise awareness of the potential future impacts of climate change.
