New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-0956
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar ; day:4 ; month:5 ; year:2019 ; pages:1-19
Surveys in geophysics ; (4.5.2019), 1-19
- Classification
-
Geowissenschaften
- Creator
-
Kellner, James R.
Armston, John
Birrer, Markus
Cushman, K. C.
Duncanson, Laura
Eck, Christoph
Falleger, Christoph
Imbach, Benedikt
Král, Kamil
Krůček, Martin
Trochta, Jan
Vrška, Tomáš
Zgraggen, Carlo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10712-019-09529-9
- URN
-
urn:nbn:de:101:1-2019062023104076247779
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kellner, James R.
- Armston, John
- Birrer, Markus
- Cushman, K. C.
- Duncanson, Laura
- Eck, Christoph
- Falleger, Christoph
- Imbach, Benedikt
- Král, Kamil
- Krůček, Martin
- Trochta, Jan
- Vrška, Tomáš
- Zgraggen, Carlo
- SpringerLink (Online service)
Other Objects (12)
Drone remote sensing for forest health monitoring
THE MEASUREMENT ACCURACY AND MEASUREMENT CHARACTERISTICS OF GREEN LiDAR DRONE
Rotary-wing drone-induced flow – comparison of simulations with lidar measurements
DroneSilient (drone + resilient): an anti-drone system
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Review of airborne oceanic lidar remote sensing
REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING
Drone Decarbonisation
An ultra lightweight neural network for automatic modulation classification in drone communications
Use of LiDAR drone data for O-mapping and change detection in mountainous areas
Dynamic cloud service placement for live video streaming with a remote-controlled drone
IMPROVEMENT ON TIMING ACCURACY OF LIDAR FOR REMOTE SENSING
Drone remote sensing for forest health monitoring
THE MEASUREMENT ACCURACY AND MEASUREMENT CHARACTERISTICS OF GREEN LiDAR DRONE
Rotary-wing drone-induced flow – comparison of simulations with lidar measurements
DroneSilient (drone + resilient): an anti-drone system
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Review of airborne oceanic lidar remote sensing
REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING
Drone Decarbonisation
An ultra lightweight neural network for automatic modulation classification in drone communications
Use of LiDAR drone data for O-mapping and change detection in mountainous areas
Dynamic cloud service placement for live video streaming with a remote-controlled drone
IMPROVEMENT ON TIMING ACCURACY OF LIDAR FOR REMOTE SENSING
Drone remote sensing for forest health monitoring
THE MEASUREMENT ACCURACY AND MEASUREMENT CHARACTERISTICS OF GREEN LiDAR DRONE
Rotary-wing drone-induced flow – comparison of simulations with lidar measurements
DroneSilient (drone + resilient): an anti-drone system
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Review of airborne oceanic lidar remote sensing
REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING
Drone Decarbonisation
An ultra lightweight neural network for automatic modulation classification in drone communications
Use of LiDAR drone data for O-mapping and change detection in mountainous areas
Dynamic cloud service placement for live video streaming with a remote-controlled drone