Predicting Seagrass Habitat Suitability with Remote Sensing and Machine Learning: A Case Study in the Mississippi-Alabama Barrier Islands

Link: https://dx.doi.org/10.21079/11681/49981

Report Number: ERDC/EL TR-25-18

Title: Predicting Seagrass Habitat Suitability with Remote Sensing and Machine Learning: A Case Study in the Mississippi-Alabama Barrier Islands

By Amy H. Yarnall, Eve R. Eisemann, Molly K. Reif, Charlene S. Sylvester, Matt T. Balazik, and Safra Altman

Approved for Public Release; Distribution is Unlimited.

September 2025

64 pages / 2.04 MB