Assessing airborne laser scanning and aerial photogrammetry for deep learning-based stand delineation

Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic +1

Accurate forest stand delineation is essential for forest inventory and management but remains a largely manual and subjective process. A recent study has shown that deep learning…