Keynote at ISCRAM-China2008 conference

1. Disaster Management at VITO N. Lewyckyj – VITO Harbin, July 6 th 2008

3. VITO in a nutshell

13. Aerosols up to Ultra Fine Particles, video camera, gps, P-trak, noise measurements and PID-monitor AëroFlex II: Biclycle equipped with an “utra fine particle” detector

14. AëroFlex II: values are not disturbed by the measurement method

15. Micro and mini UAVs to be equipped with air pollution sensors and wind measurements 25 - 40 cm ~ 2.5 m MIRAMAP ~ 1.5 m

22. Disasters & sensors

27. Information is generated by analysing and fusing data coming from “sensors” Sensors (raw data) Data (pre-) processing DSS data fusion and expert knowledge Information for decision makers Existing data bases Rescue teams Observators(population) We do not consider here communication aspects although that are also crucial

28. Sensor types are multiple Stand-alone vs networks On-site vs remote (incl. lab) Fixed vs mobile Real vs virtual Automatic vs manual Hardware vs human Wired vs wireless

29. Main VITO projects related to DM

30. Phases for disaster management Response • Activation of sub networks • Deployment of new networks • Refinement of data • Access to wide data • • Monitoring Crisis Alert • Real time monitoring & forecasting • Early warning Post Disaster Reconstruction Recovery Preparedness Scenarios development Emergency Planning maps Months / years Hours / days Minutes / hours Years / decades Weeks / months Continuous Prevention and Monitoring • Deployment of monitoring networks • Improvement of modeling & prediction

31. Prevention - monitoring

33. Estimated and forecasted crop yield by main crop type at country level based on Agro-meteorological models integrated with Remote Sensing Crop Yield (CY) Crop Yield assessment Qualitative assessment of potential productivity in the cultivated areas (High – low productivity) Agricultural productivity (AP) Extent of the cultivated areas at country level, based on SAR optical data (MERIS/MODIS) and ground observations. Extent of cultivation (EoC) Cultivated area over selected, localized areas based on SAR data and ground observations Cultivated area (CA) Date of emergence of crops/vegetation, based on SAR data Crop emergence date (CED) Agricultural mapping (60-70% accuracy) Fraction of Absorbed Photo synthetically Active Radiation (fAPAR), indicator on state of the canopy, based on MERIS RR (end phase 1) Fraction of Absorbed Photo synthetically Active radiation (fAPAR) / DMP Assessment of vegetation/crop state based on to historical time series based on SPOT-VGT Vegetation Productivity Indicator (VPI) Early warning The package contains a compilation of Geographic information on vegetation status, crop yield forecasting, production data, overall environmental conditions and problem areas, as per best information available (from GMFS and other sources) at the time of writing GMFS Support Kit for FAO/WFP CFSAM missions (SK) Support to CFSAM Description Product Name Service

38. Synergy? Bottom up (AÏDA) Half way (website/promotion Irma tech demo/ workshop) Top Down (IRMA)

39. Prepardness

40. SEVESEO An EO demonstration project funded by the Data User Element of the Earth Observation Envelope Program (7 users from 4 countries)

41. SEVESEO IS Client – Substances viewer

45. DDK Project: Funded by the Belgian Science Policy studying the vegetation dynamic to avoid embankments breaks

47. Unmixing results Marram Grass Moss

48. Alert

49. Smog (O 3 ) prediction and alert system for Belgium http://www.irceline.be/~celinair/smogstop/ozgraph_nl.html

50. VITO signs contract to supply air quality management system

52. VITO uses its own developed AURORA air quality model

53. AURORA : input terrain data for 3-km domain Domain : 150km x 150km @ 3km spatial resolution Terrain data : - vegetation information : VEGETATION / SPOT - land use : GLC2000 - sea surface temperature : MODIS - topography : Digital Elevation Model

54. Trial simulation : E-MAP for Beijing NOx emissions PM10 emissions Beijing : - 50x50km², 1km resolution - August 2006

55. Hyperpeach: Hyperspectral remote sensing for crop assessment in peach orchards

58. Response

59. h ttp:// www.osiris-fp6.eu O pen architecture for S mart and I nteroperable networks in R isk management based on I n-situ S ensors

61. Mobile Ground Control Station Central Data Processing Centre (CDPC) in Mol SWE PC MONITORING / SUPERVISION REAL TIME IMAGERY UNPROCESSED DATA RAW DATA COMPRESSED PROCESSED DATA RS system MONITORING / SUPERVISION Remote sensing system OSIRIS TRUCK WIRELESS SMART IMAGING SENSOR BU BU BU SWE POSITIONNING SENSOR SYSTEM DISPLAY OPERATOR SWE Forest fire global deployment BU BU

62. User interfaces Firemen : 19 Trucks : 3 The user will access some displays, based on OSIRIS generic applications on firemen existing displays. The goal is to provide displays fusing all sensor data information in the most operational way. MAP PC VSAT GCS1 UWB1 UWB2 UWB3 UWB4 CAM1 CAM2 CAM3 ARSS Houses ROAD FOREST FIRE WIND DIRECTION

63. Mobile Ground Control Station Central Data Processing Centre (CDPC) at VITO (Mol) RAW DATA REAL TIME RAW DATA COMPRESSED PROCESSED DATA RS SYSTEM Description of the RS system within OSIRIS TELEMETRY Platform TASKING COMPRESSED DATA SWE µ-PAF HAP TASKING METEOROLOGICAL DATA REQUEST FOR DATA RS platform(s) AB3 Satellite

64. We will generate georeferenced images in near real time from video stream

71. Post crisis – dammage assesment

72. Seasonal robustness of an empirical SPM algorithm for the Scheldt (Belgium) Private partner Research partner Titel die ik heb opgegeven: Retrieval of suspended sediment concentrations in tidal rivers"

74. SPM concentration maps 2005 - examples At high tide 2h after high tide

76. Similar bottom types in different geomorphological units are finally manual fused to obtaine 17 meaningful classes. Introduction Field survey Hyperspectral data Classification - MNF - Geomorfology - Endmembers - Benthic cover map - Labelling - Accuracy Conclusion Acknowledgments

77. Introduction Field survey Hyperspectral data Classification - MNF - Geomorfology - Endmembers - Benthic cover map - Labelling - Accuracy Conclusion Acknowledgments Coral Group 6: Fore reef / ± -2 m ↔ ± -7 m Hard coral on calcified rock, minor soft coral. Acropora sp.; Typical: Acropora palifera Coral Group 7: Lagoon / ± -2 m ↔ ± -9 m Patch coral. Different species of hard and soft coral. Coral Group 10: Fore reef /± -7 m ↔ ± -15 m Soft coral on sandy bottom, minor hard coral. Sarcophyton, sp.; Gorgonians Algae Group 1: Back reef / ± -2 m Calcified rock covered with turf algae. Sparse macro algae are present.

78. Stress detection of Heavy-metal Contaminated Trees : The Maatheide track The area is contaminated by different Zn, Pb, Cu & Cd –rich minerals. N Former location of the zinc factory Mol Lommel J.Vangronsveld et al., 1995 10-70 Cd 1000 Cu 1700 Pb 10000 Zn Concentration (mg/kg) Heavy metal

79. Visualization of EGFN along the track Location of the former zinc factory. In the neighborhood of the zinc factory the pine trees show high stress levels. Going further east or west stress level decreases. X

80. Some conclusions and trends

81. VITO is active in all the phases of a disaster Response Prevention and Monitoring Preparedness Monitoring Crisis Alert Post Disaster Reconstruction Recovery but not always on an operationnal basis

85. Unmanned Aerial Vehicles (UAVs) From EURO UVS report Micro Flying Robot - Japan Helios (Aerovironment/NASA, USA ) Sanswire (USA) TU Delft de Delfly Micro

86. Altitude Satellites HAPs Manned systems Small UAVs

87. The Pegasus system

90. GSD = 0.3 m R ~ 3 km Update ~ 8.2 min Coverage ~ 28.3 km² R ~ 0.5 swath GSD = 0.3 m R ~ 2.7 km Update ~ 1.6 min Coverage ~ 5.7 km² Possible coverage offered by the HAP R ~ swath

92. Update ~ 1 min Coverage ~ 72 km² Update ~ 25 min Coverage ~ 314 km² Pegasus with GSD = 1 m Swath = 10 km Update ~ 4.7 hours Coverage ~ 2500 km² 50 km R ~ 0.5 swath R ~ swath 50 km

93. Pegasus 1m

94. Zephyr : endurance WR (54+33 hours)

95. Zephyr in White Sand http:// www.newscientist.com/blog/technology/labels/UAVs.html

96. Thank you for your attention http://www.vito.be