Advanced WIM Workflows: Leveraging Deep Learning and Mosaic Datasets
Details
The Wetland Identification Model (WIM) is a workflow to prepare a core set of wetland indicators and develop your own machine learning model to predict likely wetlands. However, with adequate training data and large areas of interest, WIM can be extended and optimized. WIM can be leveraged within an updated predictive approach that leverages Deep Learning and Mosaic Datasets within ArcGIS Pro. Consider previous WIM workflows as prerequisites for this webinar.
In this webinar, Dr. Gina O'Neil will:
· Discuss ways to derive core wetland indicators across large areas.
· Detail how to leverage Mosaic Datasets to optimize processing.
· Detail how to develop a Deep Learning model.
· Review considerations for Deep Learning model parameters.
Advanced WIM Workflows: Leveraging Deep Learning and Mosaic Datasets