Keyphrases
Tree Species
100%
Hyperspectral
100%
Forest Stand
100%
Canopy Height Model
100%
Stand Variables
100%
Photogrammetric
100%
Unmanned Aerial Vehicle (UAV) Imagery
100%
UAV
66%
Remote Sensing
66%
Forest Variables
66%
Accurate Estimation
66%
Vehicle-borne
66%
High-resolution
33%
Pine Tree
33%
Estimation Accuracy
33%
Weather Conditions
33%
RGB-D Camera
33%
Estimation Method
33%
Remote Sensing Data
33%
Data Combination
33%
Hyperspectral Reflectance
33%
Forest Characteristics
33%
Spruce Tree
33%
Stereophotogrammetry
33%
Airborne Laser Scanning
33%
3D Remote Sensing
33%
Mean Height
33%
Reflectance Image
33%
Mean Diameter
33%
Stand Volume
33%
Major Complications
33%
Species Proportion
33%
Growth Stocks
33%
Larch Forest
33%
Image Mosaic
33%
Highly Accurate
33%
Species Dominance
33%
Uncalibrated
33%
Estimated Volume
33%
Calibrated Images
33%
K-nearest
33%
Broad-leaved Trees
33%
INIS
height
100%
volume
100%
forests
100%
canopies
100%
unmanned aerial vehicles
100%
data
60%
remote sensing
60%
values
40%
images
40%
dimensions
40%
pines
20%
spruces
20%
sensors
20%
cameras
20%
accuracy
20%
stocks
20%
lasers
20%
weather
20%
resolution
20%
Agricultural and Biological Sciences
Forest Stands
100%
Unmanned Aerial Vehicle
100%
Remote Sensing
100%
Hyperspectral Imagery
66%
Pinus
33%
Photogrammetry
33%
Larix
33%
Earth and Planetary Sciences
Pilotless Aircraft
100%
Remote Sensing
100%
Reflectance
33%
Airborne Laser Scanning
33%
Estimation Method
33%
Weather Condition
33%
Photogrammetry
33%