EnsoMOSAIC. Kopterit metsäninventointidatan keruualustoina

Transcription

1 EnsoMOSAIC Kopterit metsäninventointidatan keruualustoina

2 Company introduction MosaicMill founded in 2009 EnsoMOSAIC technology since 1994 Main businesses EnsoMOSAIC forestry solutions EnsoMOSAIC agriculture solutions EnsoMOSAIC image processing software EnsoMOSAIC manned imaging systems Clients Mapping and survey Forestry and plantations Agriculture Oil and gas Mining Construction and infra 2

3 UAV in forest inventories when? 1. Relatively small forestry holdings < 200 ha ~ 1,000 EUR Finland line of sight flights 50 ha/flight Airspace possible to close, 8 weeks required, so bigger areas are possible but not feasible? Bigger areas by Cessna class aircrafts, one day flight (low alt) ~5,000 ha 2,000 EUR 2. Sample plot measurements To replace field measurements in any inventory type One flight ~50 ha ~500 ha ~5,000 ha (low altitude) Field measurements possible to replace

4 Sensor alternatives From forest inventory point of view - UAV is a just a platform to carry out sensors LiDAR > 100 KEUR, LiDAR system for operational altitudes, points / m2 Ground and stem points Needs camera to obtain spectral data RGB camera High resolution, up to 50 Mpix Limited spectral resolution Multispectral camera Micasens etc >4 narrow bands Low geometric resolution Hyperspectral camera Rikola Up to 100 bands Low geometric resolution In most cases combination of two sensors required

5 UAV alternatives (rough examples) Camflight FX8 Carries several sensors Phoenix LiDAR Sony A7r II 53 Mpix camera Rikola hyperspectral camera Up to 50 min endurance Maximum weight 24 kg > 100 keur Geodrone X4L One sensor E.g. sony a Mpix Up to 40 min endurance Maximum weight 7 kg ~25 keur DJI Phantom 20 Mpix camera Up to 30 min endurance Maximum weight 1.5 kg ~1 keur

6 Forest inventory process 1. Flight planning 2. Flight 3. Orthomosaicking and 3D point cloud processing 4. Stand delineation (if needed) 5. Tree locations / tree count / tree height 6. Species interpretation 7. Canopy diameter 8. Modelling of other variables 9. Results, reports, etc Can be processed in different order

7 Orthos and point cloud EnsoMOSAIC Fusion Powerful photogrammetric software for orthomosaicking and point cloud generation Images from unmanned and manned platforms Support for multicamera oblique systems Support for multi- and hyperspectral images Data fusion to process images from different camera types, e.g. HS + RGB Fully automatic Results are immediately available for Google Earth or into any GIS and CAD package.

8 Tree locations - Camera or LiDAR Pointcloud is used to detect trees Canopy mapping results is quite similar with LiDAR and Camera, thus tree locations possible with both sensors Ground must be detected for height measurement, always possible from LiDAR In open forest (or forest with some gaps) also camera detects ground In Finland (and in many other countries) ground available from other sources, thus camera also OK in closed forest Camera points only from the canopy, thus D 1.3 only through models LiDAR points also from stem directly, not yet applied. D 1.3 through models. Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging, Finnish geospatial research Institute

9 Species delineation - hyperspectral camera Snapshot camera 1 Mpix Full resolution pixels, no interpolation Adjustable between 400 nm 950 nm Spectral resolution 10 nm, with 1 nm steps Max 380 bands, typically Weight ~720 g FOV 37 degrees No IMU needed Large area orthomosaics with EnsoMOSAIC Fusion Finnish Geospatial Research Insititute

10 Forest variables from UAV data Combination of Mosaicmill software and open source tools Every tree: species, height, canopy diameter (D 1.3 with models) Missing trees (below dominant trees) with models