LiDAR metadata over FLUXNET sites
Please use one form for each measurement campaign. Return filled forms to: mbeland@berkeley.edu
Airborne LiDAR
Site
Site name, location, and
vegetation classification
Laegeren Switzerland / CH-Lae
Lat: 47.4780833 Lon: 8.365000
Vegetation type: mixed forest
LC – MODIS IGBP class: deciduous broad-leaf forest
Site vegetation info (if available)
 mean canopy height +/-
28 m
 mean stems per hectare
205
 mean crown size
Vegetation state at time of
acquisition
Measurements
Date of acquisition
LiDAR instrument used
Area covered (m2 or ha)
Discrete returns or full waveform
(if discrete provide number of
returns per pulse)
Spatial resolution (pulse per m2)
Size of pulse footprint
Maximum off-nadir scan angle
Accuracy of georeference at
ground level
Processing
Main objective of acquisition
Processing applied (please
provide a general description)
Products derived from processing
not known
leaf-on/leaf-off
April/ August 2010
Riegl LMS Q-560/ Riegl LMS Q-680
1500 ha
full-waveform
>5
0.25 m
15 deg
< 0.5 m
ESA 3D Vegetation Laboratory
Georeferencing using terrestrially surveyed roofs, classification of points, interpolation in raster models
DSM, DTM and CHM (Canopy Height Model)
of data
If an image (jpeg/tiff) of the lidar
data is available please send
along with this form
Terrestrial LiDAR
Site
Site name, location, and vegetation
classification
Laegeren Switzerland / CH-Lae
Lat: 47.4780833 Lon: 8.365000
Vegetation type: mixed forest
LC – MODIS IGBP class: deciduous broad-leaf forest
Site vegetation structure (if available):
 mean canopy height +/- StDev
see above
 mean stems per hectare
see above
 mean crown size
Vegetation state at time of acquisition
Measurements
Date of acquisition
LiDAR instrument used
Number of scans
Single discrete return, multiple discrete
returns, or full-waveform
Resolution (angle between pulses)
Coverage:
 number of individual trees scanned
 Number of plots scanned (provide
area of plots)
Scans registration:
 Scans are aligned/co-registered into a
common coordinate system
 Scans are georeferenced in a global
coordinate system (e.g. GPS tiepoints)
Processing
Main objective of acquisition
Processing applied (please provide a
general description)
Products derived from processing of data
not known
leaf-on
13-15 September 2011
Z&F IMAGER 5006
24
single discrete return
3.1 mm @ 15 m Range
130
2 plots / 100 m2
yes
yes
Accuracy: < 0.02 m
Accuracy: < 0.05 m
ESA 3D VegLab project
Internal and external geolocation of point clouds, manual digitization of stems and branches,
classification of point cloud into foliage and woody material
Unified point cloud, tree models
If an image (jpeg/tiff) of the lidar data is
available please send along with this form