Drones for research - Observing the world in 3D from a LiDAR-UAV
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1 Drones for research - Observing the world in 3D from a LiDAR-UAV Program lunch seminar: Lammert Kooistra: The Unmanned Aerial Remote Sensing Facility goes 3D: Unmanned Aerial Laser Scanning Sander Mücher: From point clouds to 3D products: opportunities for high-resolution LiDAR Harm Bartholomeus: 3D analysis and visualization for forest research Questions and discussion
2 The Unmanned Aerial Remote Sensing Facility goes 3D: Unmanned Aerial Laser Scanning Lammert Kooistra 1, Harm Bartholomeus 1, Sander Mucher 2, Henk Kramer 2, Jappe Franke 2 and Benjamin Brede 1 1: Laboratory of Geo-Information Science and Remote Sensing, 2: Wageningen Environmental Research
3 Drones in the news
4 Why UAVs in science? Satellites Airplanes Bridging the gap In-situ UAVs
5 UAVs as flexible platforms Your own flexible platform Autonomy Timing: fill data gaps ~ flying below the clouds Sensors: application specific + increasing nr. camera s Coverage: increased spatial detail Example Science fields: Plant phenotyping: high-throughput Precision agriculture: field -> zone -> plant Ecology/forestry: scaling from plot to landscape level Water: detailed spatial coverage + accessibility
6 RC Copters UAVs Drones Radio controlled helicopters have been around for decades Hard to fly & prone to crash Around 2005 the technology for full-electric drones starter to become available LiPo batteries, IMU, autopilot, GPS Around 2007/2008 the technology was mature enough for dedicated remote sensing research Around 2016 kids are capable and can afford to fly these (and shoot amazing photos & videos)
7 Professional UAVs today Range: Small consumer systems (~1000, just photos) Medium UAVs (5-15k, a few kg of space for payload) Professional ready-to-use mapping systems (25-350k, ready sensors and processing chains) Large scale system ( real airplanes, )
8 Beginning of Unmanned Aerial Remote Sensing Facility (UARSF) of WUR Our UAV activities started in 2012 with Interreg project Smart Inspectors GRS & Alterra acquired an Aerialtronics Altura AT8 octocopter Okkie Own camera systems developed Soil Physics and Land WUR acquired a Mavinci fixed wing RGB camera
9 UARSF now Objectives Research Facility: Platform for dedicated and high-quality experiments Calibration facilities and disseminating processing procedures to the UAV user community Test use in range of applications like habitat monitoring, precision agriculture and land degradation assessment Our pilots Our platforms + Operation Manual and Safety Management System = Company exemption from the Dutch Aviation Authorities
10 Current operations NL Applications: Coastal monitoring Habitat mapping Musselbank mapping Forest biomass and phenology Hail damage assessment Precision agriculture Agro experimental plots Nr of flights: 2015: : 290
11 Photogrammetric processing Structure from Motion Requires just a normal camera Software detects features from overlapping photos The 3D positions of the features are triangulated producing 3D model of the target The photos are projected on the model producing orthophoto/orthomosaic
12 Simple: Phantom 3 Professional ~120 photos above 4ha forest plot in Ghana Photogrammetric processing allows production of orthophoto and top-of-canopy 3D model RGB orthophoto Digital Surface Model Red-Green vegetation index
13 Photogrammetric 3D point cloud
14 Laser Scanning principle Terrestrial Laser Scanning (TLS) very high frequent laser transmitter/ receiver Point cloud: x, y, z coordinate Airborne Laser Scanning (ALS) WUR terrestrial Laser Scanning Research:
15 Comparison UAV-SfM and TLS vs. UAV-SfM: Approximation Surface smoothed Relative height TLS: Complete point cloud Digital Terrain Model Absolute height source: MSc thesis Sabina Rosca:2015 Guyana study
16 Unmanned Aerial Laser Scanning Advantages Complete 3D structure (incl. terrain model) Absolute height and other parameters Disadvantages TLS: intensive fieldwork: large nr of scan positions ALS: relative expensive and inflexible Solution: combine UAV and Laser Scanning technology Business proposal written for Shared Facilities WUR November 2015 Focus applications: phenotyping, habitat structure mapping, forest monitoring Approved January 2016
17 ULS: Riegl RiCopter Full system: UAV + Laser Scanning + software High quality and accuracy: within 1 cm x, y, z Long flying time: 30 minutes
18 RiCopter team and operations Ricopter team Pilots: Jappe Franke, Henk Kramer and Harm Bartholomeus Operators: Sander Mücher, Benjamin Brede, Lammert Kooistra Operations Shared facility: outside and inside WUR users (incl. companies) Projects research focus: feasibility, method development, validation Intake, feasibility and planning: contact Lammert or Sander Start operations: from January 2017 Operating area: focus Netherlands, opportunities Germany
19 Ricopter costs Based on intake: decision Go-No Go Legal limitations operating area Research component Costs (part of intake) RiCopter system: tariffs for half day or whole day Personal (hourly rate): flight operation: minimal pilot and operator flight-preparation post-processing: product level Contact: Lammert Kooistra or Sander Mücher
20 RiCopter demonstration Start demonstration
21 Drones for research - Observing the world in 3D from a LiDAR-UAV Program lunch seminar: Lammert Kooistra: The Unmanned Aerial Remote Sensing Facility goes 3D: Unmanned Aerial Laser Scanning Sander Mücher: From point clouds to 3D products: opportunities for high-resolution LiDAR Harm Bartholomeus: 3D analysis and visualization for forest research Questions and discussion
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