This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demostration under grant agreement no 604129 www.slopeproject.eu Remote Sensing Systems Supporting Forestry Inventory Enda Nolan Coastway SLOPE Final Conference 10 th November, EIMA 2016, Bologna – Notturno Hall
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This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
www.slopeproject.eu
Remote Sensing Systems Supporting Forestry Inventory
Enda Nolan
Coastway
SLOPE Final Conference10th November, EIMA 2016, Bologna – Notturno Hall
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
WP2 Forest Information Collection & Analysis
• Coastways Involvement in WP2
• WP2.1 Remote Sensing and multispectral Analysis
• WP2.2 UAV Data & Analysis
• Partners Flyby, Treemetrics, CNR• Data Capture using fixed wing drones
• Testing a variety of camera payloads - RGB, Multispectral, NIR
• Tasked with creating DTM, DEM, DCM
• Several test sites chosen in Ireland , Piscine, Montesover & Annaberg
• WP2 & WP4 Combined our data with terrestrial laser scan data & Satellite imagery
trees Separation of Point Cloud to aid creation of DEM by classifying ground data from canopy data
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
8
Separating the DTM from the Point data enables modelling of the Trees
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
9
Lidar Point cloud view of the trees
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
10
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
11
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
Drone Cameras
• multiSPEC 4C - Ultra precise 4-band accuracy
• The multiSPEC 4C provides image data across four highly precise bands - Green, Red, Red-edge and NIR - with no spectral overlap. In addition, its upward-facing irradiance sensor automatically compensates for sunlight variations, resulting in unparalleled reflectance measurement accuracy.
• Technical features
• Resolution 4 sensors of 1.2 Mp
• Ground resolution 10 cm/px (@100m)
• Sensor size 4.8 x 3.6 mm per sensor
• Pixel pitch 3.75 um
• Image format RAW (Tiff)
12
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
Flight Process
• UAV is launched ascending to an altitude of 100 -150m once it has reached it’s designated Waypoint it commences taking pictures.
• 45 minutes of flight time
• 36-57km/h (10-16m/s) cruise speed
• Up to 45km/h (12m/s) wind resistance
• Up to 3km radio link
• Covers up to 1.5-10km2
• Image resolution of 3-30cm/pixel (depending on flight altitude)
• Map areas of up to 1,000 ha (2,470 ac) in a single flight.
• These images are used to create maps and elevation models with accuracy of down to 5 cm (1.9 in).
• Images downloaded into Post Flight Terra 3D software
• Point tools, Cloud Compare,
• Images Combined with the Log file of the UAV Flight Path & Survey Ground Control Points
• Photo Mosaic generated with 60% side overlap and 70% laterally.
13
This project has received funding
from the European Union’s
Seventh Framework Programme
for research, technological
development and demostration
under grant agreement no 604129
14
Multispectral Imagery can help determine the health of the forest