DroneKnowledge Towards knowledge based export of small UAS remote sensing technology Kohti tietämysperusteisen UAS kaukokartoitusteknologian vientiä

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1 DroneKnowledge Towards knowledge based export of small UAS remote sensing technology Kohti tietämysperusteisen UAS kaukokartoitusteknologian vientiä Tekes Challenge Finland Vaihe 1 Projekti,

2 Konsortio, Vaihe 1 laserscanning.fi pointcloud.fi UAS kaukokartoitustutkimusta v lähtien UAS fotogrammetria, laserkeilaus, hyperspektrikuvaus, lämpökuvaus Spektrimittaukset laboratoriossa Tehokkaat ja älykkäät laskenta-algoritmit Sovellusosaaminen Menestystarinoita

3 Hyperspectral UAV for precision agriculture Objective: Biomass and yield estimates, Opimizing nitrogen fertilization, weed and disease identification, future agriculture, In co-operation: FGI, VTT, Natural Resources Center Finland, University of Jyväskylä, companies Tekes UASI, Academy of Finland Hyperspectral mosaic Fertilization task N NEED 5.35* Biomass Biomass Nitrogen * 1000 Kaivosoja, J., et. al., A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. SPIE Remote Sensing, Dresden, Germany. Honkavaara, E.; Saari, H.; Kaivosoja, J.; Pölönen, I.; Hakala, T.; Litkey, P.; Mäkynen, J.; Pesonen, L. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sens. 2013, 5,

4 UAV Laser Scanning (LS) for Powerlines 4

5 UAV LS for river corridors and topographic mapping

6 UAV Hyperspectral and 3D data for automatic individual tree species classification Tekes HSI-Stereo, Academy of Finland UAV-4D-Bio

7 Hyperspectral UAV for vegetation health monitoring Serious tree death in spruce forests due to bark beetle in Southern Finland Objective: Early detection of infestion using hyperspectral images and photogrammetric point clouds from manned and unmanned aircrafts Co-operation: University of Helsinki, Lentokuva Vallas, Tekes MMEA 7 Näsi et al. Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level. Remote Sensing 2015.

8 Hyperspectral UAV for water quality estimation Co-op: JY, VTT, Metla, Rikola, Mosaic Mill, Luode Consulting, Vapo, Tekes MMEA, Tekes HSI-Stereo 8 Lentokuva Vallas Oy

9 Hyperspectral UAV for optimizing peat production and monitoring of environmental impacts Co-op: JY, VTT, Metla, Rikola, Mosaic Mill, Luode Consulting, Vapo, Tekes HSI-Stereo Honkavaara et al., Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Un-manned Airborne Vehicle (UAV), IEEE Tgars. 9

10 UAV for building and built area modeling and analysis 3D buiding models by photogrammetry or laser scanning Photographic textures from vertilcal and oblique images Thermal imaging Modeling, Analysis Tekes MMEA, Tekes 3DEnviAnalysis Early morning thermal Evening thermal 10

11 Droneteknologia avaa uusia mahdollisuuksia liiketoiminnalle Mahdollisuudet Uudet sensorit Nopea ja joustava tiedonkeruu Tarve Digitalisaatio Haasteet Uudenlaisen sensoridatan prosessointi ja analysointi Valtavat datamäärät Vaikeat datankeruuolosuhteet Ratkaisut Sensorikehitys Prosessointialgoritmien kehitys Prosessin epävarmuuden estimointi Automatisointi Reaaliaikainen laskenta Pilvilaskenta Mobiilipalvelut Uudenlaiset toimintamallit

12 Tutkimuksen toteutus WP 1 State-of-theart WP 3 Tapaustutkimukset ja demonstraatiot WP 2 Parhaat käyttökohteet Uudet menestystarinat WP 4 Challenge Finland Vaihe 2 Tutkimussuunnitelma HUIPPUOSAAMISTA SUOMESSA Sovellusosaamista UAS-kulttuuri IT Hyperspektri Laserkeilaus Fotogrammetria Kaukokartoitus Dronet

13 Open agricultural test site in Hovi Vihti 2016 Insitu measurements Targeted ground control points for geometric testing Vegetation height, biomass and N content (parcels 1, 4) Yield maps for parcels 1, 2, 3, 4 Remote sensing data sets UAV imaging 4-5 times during the summer by FGI, Simultaneous spectral measurements Satellite data sets Open for other UAV operators Co-operation: FGI, Luonnonvarakeskus 13

14 Kiitos! Yhteydenotot: