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Artificial intelligence deep learning model for mapping wetlands yields 94% accuracy “Chesapeake Conservancy’s data science team developed an artificial intelligence deep learning model for mapping wetlands, which resulted in 94% accuracy. Supported by EPRI, an independent, non-profit energy research and development institute; Lincoln Electric System; and the Grayce B. Kerr Fund, Inc., this method for wetland mapping could deliver important outcomes for protecting and conserving wetlands. The results are published in the peer-reviewed journal Science of the Total Environment.”

Kumar Mainali et al, Convolutional neural network for high-resolution wetland mapping with open data: Variable selection and the challenges of a generalizable model, Science of The Total Environment (2022). DOI: 10.1016/j.scitotenv.2022.160622

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