Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Ähnlich wie UAV-Based High-Resolution Remote Sensing as an Innovative Monitoring Tool for Effective Crop Management
Ähnlich wie UAV-Based High-Resolution Remote Sensing as an Innovative Monitoring Tool for Effective Crop Management (13)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
UAV-Based High-Resolution Remote Sensing as an Innovative Monitoring Tool for Effective Crop Management
- 1. UAV-Based High-Resolution Remote Sensing as an Innovative Monitoring Tool for Effective Crop Management Christian Knoth, Torsten Prinz Institute for Geoinformatics, University of Muenster Crop Resource Use Efficiency and Field Phenotyping Grantham, Lincs, 2013-03-26 http://ifgicopter.uni-muenster.de
- 2. Overview I. Introduction II. Quadrotor Sensor Platforms III. Infrared Imaging IV. Monitoring of Bog Ecosystems V. Precision Agriculture VI. Perspectives for Field Phenotyping 2 http://ifgicopter.uni-muenster.de
- 3. Introduction The ifgicopter project: Aim: using multicopters as platforms for gathering all kinds of sensor data • high flexibility • VTOL (hovering) • little operating costs • variable spatial and temporal resolution 3 http://ifgicopter.uni-muenster.de
- 4. Introduction Fields of work: • flight planning software • communication framework • accurate positioning via enhanced differential GPS (DGPS) • creation of (infrared) remote sensing products • analysis of climate phenomena • … 4 http://ifgicopter.uni-muenster.de
- 5. Quadrotor Sensor Platforms “Mikrokopter” “Microdrones” (building kit) (ready-to-use product) carries e.g. IXUS400 or carries e.g. IXUS 100IS (NIR only, natural colour) (VIS-NIR) autonomous navigation via GPS and flight planning software 5 http://ifgicopter.uni-muenster.de
- 6. Infrared Imaging Sensor Technique: • modified digital compact camera • hot mirror removed • captures light between 400 and 1100 nm wavelength • natural colour, NIR or CIR images (external filter) 6 http://ifgicopter.uni-muenster.de
- 7. Infrared Imaging Outcomes: colour infrared near infrared • bog under restoration RGB true colour CIR composite (NIR/B) • turnip field 7 http://ifgicopter.uni-muenster.de
- 8. Monitoring of Bog Ecosystems object-based classification ● waterlogged bare peat ● birch trees (Betula pubescens) ● cotton grass (Eriophorum vaginatum) ● sphagnum moss (Sphagnum spec.) ● result 8 http://ifgicopter.uni-muenster.de
- 9. Precision Agriculture Nitrogen Management • CIR Image m 25 50 9 http://ifgicopter.uni-muenster.de
- 10. Precision Agriculture Nitrogen Management • CIR Image • classified GNDVI m 25 50 10 http://ifgicopter.uni-muenster.de
- 11. Precision Agriculture Nitrogen Management • CIR Image • classified GNDVI • application map m 25 50 11 http://ifgicopter.uni-muenster.de
- 12. Precision Agriculture Weed Detection m 25 50 • CIR Image • high resolution image 12 http://ifgicopter.uni-muenster.de
- 13. Precision Agriculture Weed Detection m 25 50 • CIR Image • high resolution image • crop row detection 13 http://ifgicopter.uni-muenster.de
- 14. Precision Agriculture Weed Detection m 25 50 • CIR Image • high resolution image • crop row detection • weed detection 14 http://ifgicopter.uni-muenster.de
- 15. Precision Agriculture Weed Detection m 25 50 • CIR Image • high resolution image • crop row detection • weed detection • application map 15 http://ifgicopter.uni-muenster.de
- 16. Precision Agriculture Multicopter UAV „Hexe“ (University of Hohenheim) • point spectrometer MMS1 (tec5) + webcam • temperature and humidity sensors • data transfer via W-LAN © Jakob Geipel/Institute for Crop Sciences/Agronomy, University of Hohenheim 16 http://ifgicopter.uni-muenster.de
- 17. Precision Agriculture Multicopter UAV „Hexe“ (University of Hohenheim) • point spectrometer MMS1 (tec5) + webcam • temperature and humidity sensors • data transfer via W-LAN © Jakob Geipel/Institute for Crop Sciences/Agronomy, University of Hohenheim 17 http://ifgicopter.uni-muenster.de
- 18. Precision Agriculture Fixed-wing UAV „E-Trainer“ (University of Hohenheim) Spectrometer readings © Johanna Link-Dolezal/Institute for Crop Sciences/Agronomy, University of Hohenheim 18 http://ifgicopter.uni-muenster.de
- 19. Perspectives for Field Phenotyping potential of using multicopters ? mean NIR/Blue ratio (OBIA) ● non-invasive ● variable flight level and ground resolution ● VTOL capability ● piloting easy to learn ● reliable ● customizable sensors flight equipment interfaces 19 http://ifgicopter.uni-muenster.de
- 20. Perspectives for Field Phenotyping Lightweight Sensors ? ● multispectral sensors www.tetracam.com ● 3D cameras www.digitalkamera.de ● hyperspectral imaging sensors ● thermal imaging sensors www.headwallphotonics.com ● … www.thermoteknix.com 20 http://ifgicopter.uni-muenster.de
- 21. Perspectives for Field Phenotyping Automation of data handling and processing ? data acquisition analysis of phenotypic traits subsequent crop management 21 http://ifgicopter.uni-muenster.de
- 22. Perspectives for Field Phenotyping Automation of data handling and processing ? might look like this: “Sensor Platform Framework”1 ● communication with multi- sensor equipped UAVs ● synchronizes and couples data from different sensors (e.g. sensor measurement + position information) ● provides interface for additional output plugins 1Rieke (2010): Entwicklung eines Frameworks zur Anbindung von Multi-Sensor-Plattformen an das Sensor Web https://wiki.52north.org/bin/view/SensorWeb/SensorPlatformFramework 22 http://ifgicopter.uni-muenster.de
- 23. Perspectives for Field Phenotyping Automation of data handling and processing ? might look like this: “Sensor Platform Framework”1 ● communication with multi- sensor equipped UAVs ● synchronizes and couples data from different sensors (e.g. sensor measurement + position information) ● provides interface for additional output plugins 1Rieke (2010): Entwicklung eines Frameworks zur Anbindung von Multi-Sensor-Plattformen an das Sensor Web https://wiki.52north.org/bin/view/SensorWeb/SensorPlatformFramework 23 http://ifgicopter.uni-muenster.de
- 24. Perspectives for Field Phenotyping Automation of data handling and processing ? might look like this: Framework for automatic processing1 ● automatic processing (biomass mapping / weed detection) and integration of results into subsequent applications ● web-based easy access and interoperability ● extensible 1Drerup (2012):An automatic web-based framework to integrate UAV-based data into precision farming applications 24 http://ifgicopter.uni-muenster.de
- 25. Conclusion • promising means of data acquisition also for field phenotyping • flight duration and payload is constantly being enhanced • increasing number of applicable sensors and data processing/management techniques • application development needed 25 http://ifgicopter.uni-muenster.de
- 26. Thank you for your kind attention! Questions? http://ifgicopter.uni-muenster.de 26