Hannover 2008 V2


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Hannover 2008 V2

  1. 1. Service-oriented infrastructure for environmental and economic security Space Research Institute NASU-NSAU, Ukraine
  2. 2. Environmental Security <ul><li>Flood Extent Extraction </li></ul><ul><ul><li>Tisza river (Ukraine) </li></ul></ul><ul><ul><li>Huahe river (China) </li></ul></ul><ul><li>Flood Prediction </li></ul><ul><ul><li>Tisza river </li></ul></ul><ul><li>Drought Estimation </li></ul><ul><ul><li>Ukraine </li></ul></ul>
  3. 3. Flood Monitoring <ul><li>A flood can be defined as any relatively high water flow that overtops the natural or artificial banks in any portion of a river or stream </li></ul>Source: http://www.unisdr.org/disaster-statistics/pdf/isdr-disaster-statistics-occurrence.pdf
  4. 4. Flood Extent Need <ul><li>It is impractical to acquire the flood area through field observations </li></ul><ul><li>Hydraulic models </li></ul><ul><ul><li>to reconstruct what happened during the flood and determine what caused the water to go where it did </li></ul></ul><ul><li>Damage assessment and risk management </li></ul><ul><li>Benefit to rescuers during flooding </li></ul><ul><ul><li>Flood extent with GIS basemaps </li></ul></ul>
  5. 5. Environmental security: flood estimation
  6. 6. Flood & Drought monitoring and prediction <ul><li>multidisciplinary problem </li></ul><ul><li>adequate modeling requires to use appropriate models from different application domains </li></ul><ul><ul><li>Meteorology </li></ul></ul><ul><ul><li>Hydrology </li></ul></ul><ul><ul><li>Hydraulics </li></ul></ul><ul><li>2 approaches of model integration </li></ul><ul><ul><li>Model coupling </li></ul></ul><ul><ul><li>Cascading of models </li></ul></ul>
  7. 7. Environmental security: flood prediction
  8. 8. Economic security <ul><li>Yield prediction </li></ul><ul><li>Agricultural applications </li></ul>
  9. 9. Economic security: yield estimation <ul><li>NDVI index for Crimea peninsula </li></ul>
  10. 10. Data for education & infrastructure <ul><li>Biodiversity estimation service </li></ul><ul><ul><li>Used for CASRE educational purposes </li></ul></ul><ul><li>Developed services provide standard interface for data acquisition </li></ul><ul><ul><li>OGC Web Map Service ( WMS ) </li></ul></ul><ul><ul><li>OGC Web Feature Service ( WFS ) </li></ul></ul><ul><ul><li>Derived services used for educational purposes </li></ul></ul>
  11. 11. Other services <ul><li>Results visualization using Map Server </li></ul><ul><li>Cloud motion estimation </li></ul><ul><li>Fractal features extraction </li></ul><ul><li>Weather forecasting models </li></ul>
  12. 12. Cloud mask extraction <ul><li>Needed for the most remote sensing data processing algorithms </li></ul><ul><li>Provides valuable information for airborne and satellite measurements planning </li></ul><ul><li>Continuous product based on MRF segmentation techniques </li></ul>Raw Data Cloud Borders Cloud Mask
  13. 13. Cloud mask extraction (2) <ul><li>Computations for cloud mask extraction is done using high-performance computers (clusters) </li></ul><ul><li>It is motivated by: </li></ul><ul><ul><li>High frequency of data input (15-30 min) </li></ul></ul><ul><ul><li>Large images size (~100MB) </li></ul></ul><ul><ul><li>Need of data processing in real time </li></ul></ul><ul><ul><li>Time that is needed for problem solution on single computer is > 30 min </li></ul></ul><ul><ul><li>Complex algorithms for image processing are used </li></ul></ul>
  14. 14. Cloud mask extraction (3) <ul><li>The use of cluster allowed to accelerate computations in 8-9 times </li></ul>
  15. 15. Results Visualization <ul><li>Results visualization using MapServer </li></ul>
  16. 16. Results Visualization (2) <ul><li>Functionality : </li></ul><ul><ul><li>geographical region selection </li></ul></ul><ul><ul><li>different geographical layers presentation </li></ul></ul><ul><ul><li>different data processing levels presentation </li></ul></ul><ul><ul><li>information presentation for different time ranges </li></ul></ul>
  17. 17. Cloud motion estimation <ul><li>Useful as the source data for Numerical Weather Prediction models </li></ul><ul><li>Temporary interpolation/extrapolation of image sequences for nowcasting </li></ul><ul><li>Based on adapted optical flow techniques </li></ul>
  18. 18. Fractal features extraction <ul><li>Based on modeling of Meteosat images by Generalized Brownian Motion processes </li></ul><ul><li>Application – anomaly meteorological phenomena detection based on fractal dimension </li></ul>
  19. 19. Weather Prediction Models <ul><li>Adaptation of mesoscale weather prediction models for Ukraine </li></ul><ul><li>Computations on a single processor takes 10 hours </li></ul><ul><li>The use of high-performance computing allows to decrease this time to 3 hours </li></ul>
  20. 20. Grid - heterogeneous infrastructure
  21. 21. GRID-infrastructure <ul><li>Grids enable software applications to integrate computational and information resources that are managed by diverse organizations in widespread locations </li></ul><ul><li>Grid advantages </li></ul><ul><ul><li>Transparent use of different resources </li></ul></ul><ul><ul><li>Scalable service-based architecture </li></ul></ul><ul><ul><li>Running in heterogeneous environment </li></ul></ul>
  22. 22. SRI NASU-NSAU segment
  23. 23. Segment functioning Raw data acquisition
  24. 24. Segment functioning Data processing on cluster
  25. 25. Segment functioning Data processing on cluster
  26. 26. Segment functioning Data processing on cluster
  27. 27. Segment functioning Results visualization
  28. 28. The GEOUA program <ul><li>Nowadays development of GEOSS segment has been initiated in Ukraine. Within the framework of the initiative creation of the program “Aerospace and ground sensing in the interest of sustainable development and security of Ukraine” as a result of joint session of Presidium of National Academy of Sciences of Ukraine (NASU) and National Space Agency of Ukraine (NSAU) Board on 17.01.2007. </li></ul>
  29. 29. Security applications of Remote Sensing Data <ul><li>Global Earth Observation System of Systems – initiative aimed to provide remote sensing data in services for sustainable development and security </li></ul><ul><li>Environmental security applications: flood and drought monitoring and prediction </li></ul><ul><li>Economic security applications of remote sensing data: yield estimation and prediction, agricultural applications </li></ul>
  30. 30. Contacts <ul><li>Space Research Institute NASU-NSAU 40 Glushkov Ave, 03187 Kiev, Ukraine </li></ul><ul><li>Web: www.inform.ikd.kiev.ua www.geo-ukraine.org.ua </li></ul><ul><li>E-mail: [email_address] </li></ul><ul><li>Tel : +380-44-526-25-53 Fax : +380-44-526-41-24 </li></ul>