Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques ; volume:14 ; number:6 ; year:2020 ; pages:1919-1935
The Cryosphere ; 14, Heft 6 (2020), 1919-1935

Creator: Harder, Phillip
Pomeroy, John W.
Helgason, Warren D.

DOI: 10.5194/tc-14-1919-2020

URN: urn:nbn:de:101:1-2020061805320303234474

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Harder, Phillip
Pomeroy, John W.
Helgason, Warren D.

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Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques

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Other Objects (12)

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INTEGRATING TERRESTRIAL LIDAR WITH POINT CLOUDS CREATED FROM UNMANNED AERIAL VEHICLE IMAGERY

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Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography

Shallow snow depth mapping with unmanned aerial systems lidar observations: A case study in Durham, New Hampshire, United States

INTEGRATING TERRESTRIAL LIDAR WITH POINT CLOUDS CREATED FROM UNMANNED AERIAL VEHICLE IMAGERY

Automated Snow Extent Mapping Based on Orthophoto Images from Unmanned Aerial Vehicles

Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation

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TRACKING FOREST AND OPEN AREA EFFECTS ON SNOW ACCUMULATION BY UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY

Autonomous and efficient large-scale snow avalanche monitoring with an Unmanned Aerial System (UAS)

Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations

Mission planning for unmanned aerial vehicles

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