A geo-referenced database of 629,955 unique artificial instream barriers in 36 European countries produced by the AMBER Project (Adaptive Management of Barriers in European Rivers) funded under Europe
This observational study employs an innovative deep learning framework to map river obstructions globally, overcoming the limitations of traditional detection methods by identifying various categories
A geo-referenced database of 629,955 unique artificial instream barriers in 36 European countries produced by the AMBER Project (Adaptive Management of Barriers in European Rivers) funded under Europe
This observational study employs an innovative deep learning framework to map river obstructions globally, overcoming the limitations of traditional detection methods by identifying various categories
A geo-referenced database of 629,955 unique artificial instream barriers in 36 European countries produced by the AMBER Project (Adaptive Management of Barriers in European Rivers) funded under Europe
