ID:
technologies-25
Name:
Aquatic Vegetation Mapping Tool
Technology:
Machine Learning (Random Forest, Boosting Trees)
Type:
Classification
Data used as input:
Sentinel-2 imagery
Produced datasets (openly available):
Maps of emergent and floating aquatic vegetation
Demo (video if available):
No
Paper (if available):
Machine Learning for Identifying Emergent and Floating Aquatic Vegetation from Space: A Case Study in the Dniester Delta, Ukraine
Paper DOI (if available):
10.1007/s42979-024-02873-7
Project ID (if available):
101004157
Project Acronym (if available):
WQeMS
Service description:
Mapping emergent and floating aquatic vegetation in freshwater ecosystems.
