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

Datensatz Zitierlink:

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

Titel:

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

Zitat:

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

Verlags-DOI:

10.5194/egusphere-egu24-12259

Publikationstyp:

Konferenzbeitrag - Beitrag in einem Abstract Book

Sprache:

Englisch

Autor_innen:

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

Organisationseinheit:

E120-07 - Forschungsbereich Photogrammetrie