UAV s in Geoinformatics - Trends and Perspectives

Transcription

1 UAV s in Geoinformatics - Trends and Perspectives Torsten Prinz & Christian Knoth Institute for Geoinformatics (IFGI), University of Muenster (WWU) GeoNetzwerk Münsterland ( )

2 I. Introduction II. Overview GIS-compatibility of input/output features (UAV meet OGC-standards) III. Acquisition of geo-data for environmental purpose (e.g. UAV in monitoring) IV. Sensor-web-technologies (UAV-data online processing) V. UAV s in time-spatial decision support services (disaster management, web-based services) VI. Future aspects of UAV s in geoinformatics 2

3 I. Introduction Geoinformatics? The science of modelling spatio-temporal processes computationally. Research areas (IFGI) are modelling spatio-temporal processes, semantic interoperability, spatial assistance and geographic information systems, cognitive engineering and senor networks. UAV in GI? UAV s (multicopters) as platforms for gathering all kinds of sensor data, interaction with UAV high flexibility VTOL (hovering) little operating costs variable spatial and temporal resolution (some open) interfaces 3

4 I. Introduction Our fields of UAV related GI-work: flight planning software data flow and communication framework creation of multipurpose (RGB, NIR, 3D) remote sensing products analysis of time-spatial phenomena for environmental issues integration UAV-data into web-based services integrating UAV-technologies into GI education 4

5 II. GI-compatibility OpenGeospatialConsortium Standards (OGC) Geodataformats and software (interfaces) need to follow standards.the OGC provides those open Geo standards. This leads to accepted implementation specifications: The aim is a maximum of interoperability. UAV Standards? No general standards because of different commercial UAV manufacturers. Interfaces and data-streams are often hard-coded and locked. GI consequences! Communication between geosensor- or geodata-applications onboard a UAV must be broadened and standardized regarding to UAV main control- and data- processing units (NaviControl, NMEA, SensorBUS etc.). Consequently open UAV-systems based on open (re-)source like ARDUINO are more applicable in GI-sciences (for instance *.GPX, *.XML, WMS oder WPS direct read into Web-GIS interfaces). 5

6 IIIa: Data acquisition: VTOL Sensor Platforms Quadrotor-UAV building kit carries IXUS400 (NIR) ready-to-use UAV outof-the shelf-product carries LUMIX LX3 (VIS-NIR) Infrared data for GI-conducted environmental image analysis 6

7 IIIb: Data acquisition: 'wing' Sensor Platforms pre-shaped, fixed wing UAV out of the shelf-product with ARDUINO carries TETRACAM Mini MCA 4 Channel (VIS-NIR) Infrared data for GI-conducted environmental image analysis 7

8 III. Data acquisition: Remote Sensing CIR NIR Image Processing Enhanced Multispectral Ortho Images 8

9 III. Data acquisition: Bog Ecosystems GI issue: Algorithms and methods for object-based classifications waterlogged bare peat birch trees (Betula pubescens) cotton grass (Eriophorum vaginatum) sphagnum moss (Sphagnum spec.) 9

10 III. Data acquisition: Precision Agriculture Nitrogen Management CIR Image GNDVI image application map (fertilizer) m 10

11 III. Data acquisition: Precision Agriculture Weed Detection m CIR Image high resolution image crop row detection weed detection application map 11

12 III. Data acquisition: Non-invasive Phenotyping 12

13 III. Data acquisition: Climate data Geocoded Temperature & Humidity (real time) ZigBee Downlink Design of Sensor BUS Set up of Sevices Visualisation (client) 13

14 III. Data acquisition: 3D Documentation in Archaeology UAV-Stereo Images 3D Camera GIS image integration Stereo image calculation Open GL objects 14

15 IV. OGC-based Software for UAV s open UAV software OGC-conform, editable, open to plug ins locked UAV software mainly proprietary, only certified plug ins possible GI issue: Navigation via GPS and flight planning software, allowing the integration of standard geodata-formats (like shapes..?) 15

16 IV. OGC-based Software for UAV s It might look like this.. 16

17 V. Time-spatial decision services: Environmental Monitoring UAV s as sensor-platforms for Interoperability and Automated Mapping (INTAMAP, Using SOS,SWS & WPS for geocoded real-time data acquisition 17

18 V. Time-spatial decision services: Disaster Management UAV s as (future) sensor-platforms for oblique geotagged video and still photography in damage estimation, risk assessment and rescue coordination Captures all four oblique angle photos during a single flightline Instant classification of damage-level, survival chances reconstruction of buildings High accuracy 3D urban mapping and 3D corridor mapping applications Merging of data in web-based geoservices Quelle: Leica, Leica RCD30 18

19 V. Time-spatial analysis: UAV-enriched web-based geoservices for Health Care UAV s as integrated sensor-platforms for health-care issues; documentation of local environmental and socio-economic patterns to deploy new strategies in disease management Capturescriucial(multispectral) datain verysmallregionsandurban areas(slums) Instant classification of structures and potential disease attributes High frequent mapping applications Merging of data in web-based geoservices Quelle: Leica, Leica RCD30 19

20 V. Time-spatial analysis: UAV-enriched Web GIS (Health Care) UAV s provide highest resolution data for critical areas 20

21 Perspectives for UAV s in Geoinformatics Constantly growing potential as muti-purpose sensor platforms in GI Slowly but constantly increasing iteroperability due to open systems Longer flight durations allow more realistic time-spatial modelling of geodata 3D sensor applicable (payload extension > 1,5 kg) Laser scanning (LIDAR) in productive reach UAV s represent an accepted status in GI-science and education 21

22 Thank you for your kind attention! Any Questions? 22