Catalog Item
S&T Project 1867 Final Report: Seasonal/Temporary Wetland/Floodplain Delineation using Remote Sensing and Deep Learning
Seasonal wetlands are an important habitat for many aquatic species, including juvenile anadromous fish. In the past, the delineation of seasonal wetlands has been very limited and often inaccurate by traditional methods used by Reclamation. A new methodology was created to automatically delineate seasonal wetlands from satellite imagery using machine learning methods. While additional research is needed to verify the accuracy of the results, this methodology has the potential to identify seasonal wetlands over a large area at a much lower cost than traditional methods.
Catalog Record Title
Report from S&T Project 1867: Seasonal/Temporary Wetland/Floodplain Delineation using Remote Sensing and Deep Learning
Generation Effort
S&T Project 1867: Seasonal/Temporary Wetland/Floodplain Delineation using Remote Sensing and Deep Learning
Location Name
Central Valley
Type
Uploaded file(s)
File Type
PDF
Publisher
Bureau of Reclamation
Publication Date
Friday, March 12th, 2021
Update Frequency
not planned
Last Update
Tuesday, May 18th, 2021
Disclaimer
The findings and conclusions of this work are those of the author(s) and do not necessarily represent the views of the Bureau of Reclamation.

