ESA CAT-1 inter-Grid testbed

1. ESA CAT-1 inter-Grid testbed Nataliia Kussul, Andrii Shelestov Space Research Institute NASU-NSAU, Ukraine

2. Targets • to develop GRID services for flood monitoring using spaceborne radar and optical data • the proposed services would be considered as the WAG testbed with further integration with EO Grid

3. TASKS • To transfer flood monitoring methods developed in Slovakia to other regions, specifically Ukraine and China • To prove elements of WAG infrastructure • To develop the data fusion methods for flood monitoring using spaceborne SAR and optical data • To implement developed methods in the form of Grid services.

4. Participants & Roles • ESA • data provision: ERS-1/2, Envisat • SAR processing tools • GRID on demand facilities • Space Research Institute, Ukraine • Flood extent extraction (from SAR images) • hydrological and hydraulics models run • GRID services development • CNES, France • middleware analysis, WAG ideology • Remote-Sensing Satellite Ground Station, China • ESA & SIG connection • SAR processing • Institute of Information, Slovac Republic • An experience in flood monitoring Grid (without satellite data)

5. METHODS • Flood extent mapping • multitemporal technique • Markov Random Fields • Neural networks • DEM • InSAR (Interferometric Synthetic Aperture Radar) technique • GRID services • Middleware: GT4 • Grid archive: OGSA-DAI • Grid portal: GridSphere, UPortal, P-GRADE

6. CASE STUDY AREAS • Ukraine • Carpathian mountains • China • Huaihe River

7. Flood Scenario* • Incident: Flooding event occurring near the city or infrastructures • Actor: Ministry of Emergencies, Committee for Water Management and thematic service providers • Mission: • to insulate people or infrastructure from hazards, • to elaborate plans for possible scenarios to minimize the impact, • damage assessment: extent mapping, damage to buildings and infrastructure, waste pollution, etc. • Flood Phases (Use Cases) • Pre-Incident • Incident • Post-Incident * Applied to GEOSS Architecture Implementation PilotCFP

8. Pre-Flood • Alert is produced on high precipitations and/or snow melting and water level raising from in-situ observations • Steps • To discover data, products and services. • To order and receive available data and information. • Forecasts (using models): to elaborate possible scenarios. • Preparation: to minimize the impact.

9. Incident: During Flood • Steps • To constantly collect satellite and in-situ data. • Weather NOWCASTS (0-3 hour prediction of precipitation) using satellite data. • Response: actions of key importance to minimize impact. • Feedback: to revise the models on the basis of the monitoring data.

10. Post-Incident • Steps • Damage assessment: extent mapping, damage to buildings and infrastructure, waste pollution, etc. • Feedback: validation of numerical weather prediction and hydrological and hydraulic models.

11. Ukrainian Response to GEOSS ArchitectureImplementation PilotCFP • Proposal • Demonstration Scenario Development • Disaster – Flooding • Component and Service Contributions • High-resolution weather forecast service • Service for biodiversity monitoring of North Black Sea coast region • Catalog service of geospatial data of Ukrainian organizations

12. Ukrainian contribution into WAG inter-Grid testbed: Case Study (1) • Event: Flooding Tisza River on March, 2001 • Data: • ERS-2 from ESA Category-1 • Landsat-7 Landsat-7, 30.09.2000, true color ERS-2, 10.03.2001

13. Ukrainian contribution into WAG inter-Grid testbed: Case Study (2) Multitemporal image composed of an ERS-2 image acquired during flooding (10 March, 2001) and after flooding (14 April, 2001).R, G: March, 10, 2001; B: April,14,2001. Blue areas indicate flood extent.

14. Ukrainian contribution into WAG inter-Grid testbed: Case Study (3) Change detection image: dark color represents flooded extent areas

15. Ukrainian contribution into WAG inter-Grid testbed (Infrastructure) Grid segment of National Academy of Sciences of Ukraine • Connected to CERN Grid-infrastructure • Members: • Bogolyubov Institute for Theoretical Physics of NASU • Space Research Institute of NASU-NSAU • National Taras Shevchenko University of Kyiv • Institute for Condensed Matter Physics of NASU • Main Astronomical Observatory NASU • Institute of Cell Biology and Genetic Engineering of NASU • Institute of Cybernetics of NASU

16. Ukrainian Academician Grid Infrastructure • More than 500 CPUs • More that 10TB of disk space • Connected via National Academician Network UARNet (it is planned to coonnect to GEANT) • Pilot version is based on NorduGrid middleware • http://lcg.bitp.kiev.ua

17. Ukrainian Academician Grid Infrastructure

18. National Academy & Research Network UARNet • 1Gbps backend • 1Gbps bridge to national traffic exchange point • Will be connected to GEANT soon

19. National Academy & Research Network UARNet

20. Ukrainian Academician Grid Applications • High Energy Physics • GEO-Ukraine problems • Agriculture • Meteorological modelling and weather prediction • Flooding (developing under CAT-1 project) • Biodiversity • Risk management National Space Agency and National Academy of Sciences of Ukraine initiated joint program to create Ukrainian segment of GEOSS (GEO-Ukraine) According to GEO-Ukraine Program Space Research Institute is considered as informational and integration center of Ukrainian segment of GEOSS, that develops system architecture and services

21. ESA CAT-1 project tasks (1/2) • T.1. To transfer flood monitoring methods developed in Slovakia to other regions, specifically Ukraine and China. This task envisages analysis of existing hydrological and hydraulics models (including models developed in Slovakia) for flood monitoring and forecasting. Within this task input data for models, data requirements, and data sources will be defined. Two test-bed regions will be considered: Ukraine and China. Participants: SRI NASU-NSAU (N. Kussul, Ukraine), RSGS (L. Guoqing, China), II-SAS (L. Hluchy, Slovakia). • T2. To prove elements of WAG infrastructure. We think that minimal plan for this task is to harmonize data exchange formats inside the WAG. ESA SAFE data format could be foreseen as a possible solution. We are hoping for Luigi Fusco expertise in this area (ESA). OGSA-DAI functionality and performance should be also studied (Ukraine). Results of Paul's examination of different GRID middleware solutions should be taken into consideration (CNES). Participants: SRI NASU-NSAU (N. Kussul, Ukraine), RSGS (L. Guoqing, China), ESA (L. Fusco), CNES (P. Kopp, France).

22. ESA CAT-1 project tasks (2/2) • T3. To develop the data fusion methods for flood monitoring using spaceborne SAR and optical data. Within this task the flood extent maps will be derived using both radar (based on multi-temporal and segmentation algorithms for image processing) and optical data (based on vegetation indices). The developed methods will be tested for two case-study regions — Ukraine: Carpathian region, — China: Huaihe River region. Participants: SRI NASU-NSAU (N. Kussul, Ukraine), RSGS (L. Guoqing, China), ESA (L. Fusco, SAR data processing). • T4 To implement developed methods in the form of Grid services. The data processing methods that will be developed in the T3 task should be implemented as services in Grid environment. Intelligence of these services is a subject of consideration. In the simplest case it can be just filein-fileout service. Ukraine and China should collaborate in this task. Participants: SRI NASU-NSAU (N. Kussul, Ukraine), RSGS (L. Guoqing, China).

23. Resume CAT-1 Grid-system for flood monitoring could be considered as • WAG testbed • Implemented as Inter-Grid Thank you!