The Chesapeake Conservancy’s data science team has developed a cutting-edge artificial intelligence deep learning model to address the critical need for updated wetlands mapping. With an impressive 94% accuracy, this innovative tool provides a transformative approach to minimizing impacts on wetlands and guiding conservation efforts.
Traditional wetland datasets are outdated and insufficient for the precision often needed in modern environmental planning. Our model leverages AI to deliver a reliable, data-driven solution that supports decision-makers in identifying and protecting wetlands.
How It Works
The deep learning model generates a probability map that predicts the likelihood of wetland presence across the landscape. Users can customize the data by selecting probability thresholds that best suit their specific needs:
Access Data and Published Research
This groundbreaking work has been recognized by the scientific community and published in the journal Science of The Total Environment (February 2023). You can read the full manuscript here.
Please reach out to cic@chesapeakeconservancy.org if you are interested in the data or if you would like more information.