Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials - Christoph Zecha - Hohenheim University

1. Sensor platform
and UAV
Christoph Zecha,
Sensor platform and UAV
Martin Weis
1. Aims
2. Methods and
Multiple, simultaneous measurements in
data
Precision Farming field trials
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase Christoph Zecha
1 Martin Weis
2
3.1 Interfaces
3.2 Geo-database
structure
3.3 User SenGIS Competence Centre for Sensors and Geoinformation Systems
4. Conclusion
November 25, 2010
1
Institute of Crop Science (340), University of Hohenheim
2
Institute of Weed Science (360b), University of Hohenheim

2. Content
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
1 Aims
2. Methods and
Methods and data
data
2.1 Sensor platform
2.2 UAV 2
2.3 Data fusion
2.4 Map data
Geodatabase
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
3
structure
3.3 User
Conclusion
4. Conclusion
4

3. 1. Aims
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
Main aims of the SenGIS project:
2. Methods and
data
Provide geodata infrastructure components for
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
Precision Farming
2.4 Map data
Simultaneous eld measurement methods
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
Long term data storage
structure
3.3 User
Research collaboration and partnerships
4. Conclusion

4. 2. Methods and data
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
Acquire data
Measure in-eld
1. Aims
2. Methods and Knowledge about sensors and data preprocessing
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
Data handling
2.4 Map data
Denition of data ow
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
Handle data between diverse users/systems
structure
3.3 User
4. Conclusion Application knowledge
What can the measurements be used for?
Algorithms, expert systems and modeling

5. 2. Methods and data
Sensor platform
and UAV Aerial and ground-based sensor data acquisition
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

6. 2.1 Sensor platform
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion
Sensicle with some sensors:
Multiplex (440nm − 750nm)
FieldSpec HandHeld (325nm − 1075nm)
Luxmeter
IR - Red Camera

7. 2.1 Sensor platform Sensors
Sensor platform
and UAV
Christoph Zecha,
Martin Weis Optical
1. Aims Cameras (Bi-/Multispectral, RGB, Infrared)
2. Methods and
data
Spectrometer (FieldSpec, Handyspec, Yara N-Sensor)
2.1 Sensor platform
2.2 UAV Fluorescence (Multiplex, MiniVeg)
2.3 Data fusion
2.4 Map data
Luminance meter
3. Geodatabase
3.1 Interfaces Digital camera
3.2 Geo-database
structure
3.3 User
4. Conclusion

8. 2.1 Sensor platform Sensors
Sensor platform
and UAV
Christoph Zecha,
Martin Weis Optical
1. Aims Cameras (Bi-/Multispectral, RGB, Infrared)
2. Methods and
data
Spectrometer (FieldSpec, Handyspec, Yara N-Sensor)
2.1 Sensor platform
2.2 UAV Fluorescence (Multiplex, MiniVeg)
2.3 Data fusion
2.4 Map data
Luminance meter
3. Geodatabase
3.1 Interfaces Digital camera
3.2 Geo-database
structure
3.3 User
4. Conclusion
Mechanical, electromagnetic,. . .
Soil sensor (harrow project)
EM38

9. 2.2 UAV SENGIS
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion
Type: Power glider
small, 5 kg
Measuring equipment: camera, spectrometer
Auto pilot Micropilot, uplink
Logging unit: PDA

10. 2.2 UAV University of Stuttgart
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion
Stuttgarter Adler: Power glider
(4 m wing span)
Higher load capacity
Measuring equipment: cameras, spectrometer
Auto pilot Micropilot, uplink

11. 2.3 Data fusion
Sensor platform
and UAV
Easy data
Christoph Zecha,
Martin Weis comparison
1. Aims
Yield: NH yield
2. Methods and sensor
data
2.1 Sensor platform NDVI: Yara
2.2 UAV
2.3 Data fusion N-Sensor
2.4 Map data
3. Geodatabase EM38
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion
Research site
Lammwirt
(University of
Hohenheim)

12. 2.4 Map data I
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

13. 2.4 Map data II
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

14. 2.4 Map data III
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

15. 2.4 Map data IV
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

16. 2.4 Map data V
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

17. 3. Geodatabase
Sensor platform
and UAV http://geoserver.phytomed.uni-hohenheim.de/
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

18. 3.1 Interfaces
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
Interfaces OGC standards
1. Aims
WMS Web Map Service, delivery of
2. Methods and
data rendered maps
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
WFS(-T) Web Feature Service,
2.4 Map data
transactional
3. Geodatabase
3.1 Interfaces ISO 19115 Standard for Geospatial
3.2 Geo-database
structure
metadata
3.3 User
4. Conclusion SQL Structured Query Language
WPS Web Processing Service, server
based GIS functionality

19. 3.2 Geo-database Structure
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
Technology:
1. Aims
Virtual Server, IT Hohenheim
2. Methods and
data
2.1 Sensor platform
Ubuntu operating system
2.2 UAV
2.3 Data fusion
2.4 Map data
Applications:
3. Geodatabase
3.1 Interfaces Analysis
3.2 Geo-database
structure
3.3 User Statistics
4. Conclusion
Visualization
Modeling

20. 3.3 Users
Sensor platform
and UAV University of Hohenheim
Christoph Zecha, Institutes
Martin Weis
Research stations
1. Aims
2. Methods and
Students, Phd students, Scientic sta
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion

21. 3.3 Users
Sensor platform
and UAV University of Hohenheim
Christoph Zecha, Institutes
Martin Weis
Research stations
1. Aims
2. Methods and
Students, Phd students, Scientic sta
data
2.1 Sensor platform
2.2 UAV External partners
2.3 Data fusion
2.4 Map data
Researchers at other universities
3. Geodatabase
3.1 Interfaces Industry (Transfer of Know-How, Sensor development)
3.2 Geo-database
structure
3.3 User Governmental departments
4. Conclusion

22. 3.3 Users
Sensor platform
and UAV University of Hohenheim
Christoph Zecha, Institutes
Martin Weis
Research stations
1. Aims
2. Methods and
Students, Phd students, Scientic sta
data
2.1 Sensor platform
2.2 UAV External partners
2.3 Data fusion
2.4 Map data
Researchers at other universities
3. Geodatabase
3.1 Interfaces Industry (Transfer of Know-How, Sensor development)
3.2 Geo-database
structure
3.3 User Governmental departments
4. Conclusion
SenGIS integrates its partners
. . . and provides
Structural and
Technical components

23. 4. Conclusion
Sensor platform
and UAV
Christoph Zecha,
Martin Weis
1. Aims
2. Methods and
Sensor platform for simultaneous sensor measurements
data
2.1 Sensor platform
2.2 UAV
UAV's good for larger research sites
2.3 Data fusion
2.4 Map data Correlation: aerial vs. ground-based results?
3. Geodatabase
3.1 Interfaces Geoserver for easy access and exchange of data
3.2 Geo-database
structure
3.3 User
Standardised data formats for data handling
4. Conclusion

24. Sensor platform
and UAV
Christoph Zecha,
Thank you for your attention.
Martin Weis
1. Aims
2. Methods and
data
2.1 Sensor platform
2.2 UAV
2.3 Data fusion
2.4 Map data
3. Geodatabase
3.1 Interfaces
3.2 Geo-database
structure
3.3 User
4. Conclusion
Our homepage: http://sengis.uni-hohenheim.de/