Enhancing the temporal resolution of forest canopy height levels by combining airborne laser scanning and image matching point clouds with the help of machine learning

Schimpl, Lorenz; Iglseder, Anna; Mikolka-Flöry, Sebastian; Hollaus, Markus

doi:10.5194/egusphere-egu24-12259

Record link:

http://hdl.handle.net/20.500.12708/196990

Title:

Enhancing the temporal resolution of forest canopy height levels by combining airborne laser scanning and image matching point clouds with the help of machine learning

Citation:

Schimpl, L., Iglseder, A., Mikolka-Flöry, S., & Hollaus, M. (2024). Enhancing the temporal resolution of forest canopy height levels by combining airborne laser scanning and image matching point clouds with the help of machine learning. In EGU General Assembly 2024. EGU General Assembly 2024, Wien, Austria. EGU. https://doi.org/10.5194/egusphere-egu24-12259

CatalogPlus:

AC17207591

Publisher DOI:

10.5194/egusphere-egu24-12259

Publication Type:

Inproceedings - Abstract Book Contribution

Language:

English

Authors:

Schimpl, Lorenz
Iglseder, Anna
Mikolka-Flöry, Sebastian
Hollaus, Markus

Organisational Unit:

E120-07 - Forschungsbereich Photogrammetrie