1. The Remote Sensing Data and Spatial Intelligence for China and Global Studies Shuming Bao China Data Center University of Michigan Guoqing Li Centre for Earth Observation and Digital Earth Chinese Academy of Sciences Chaoyang Fang The Key Lab of Poyang Wetland and Watersheds Jiangxi Normal University

2. Challenges for Data Sharing  Integration of data from different sources and formats  Integration of data and methodology for data analysis  Integration of data, methodology and knowledge for decision support

3. Data Sources Census (population, economy,…) Government Statistics Enterprises database Remote Sensing Data Market Database Information infrastructure for China Studies Custom Database Financial Database Geography Environment Household Surveys

4. Global Grid Network To integrate capabilities of space agencies to share computational and informational resources

7. Workflow 7 Search and select data Portal SAR archive (ESA) MODIS archive (CHN) Application server Automatic workflow generation SAR (UA) MODIS (CHN) Workflow execution SAR: UA resources MODIS: CHN resources Visualization of derived products KML (NASU,Andrii, 2009)

8. Flood Detection Based on MODIS MODIS HDF （ L1B ） （ HDF-EOS ） Geolocation Flood detection （ NDVI ） VectorizationKML Format Other MODIS （ HDF- EOS ）

9. ASAR From NASU

10. Karajan Workflow  Commodity Grid （ CoG ） kits  Karajan (from karajjan technique report)

11. Portal for Flood Detection

12. MODIS （ L1B ）

13. Geolocated Image

14. Results in Google Earth

15. Spatial Intelligence Spatial Intelligence An Integration of Information, Methodology and Knowledge supported by Spatial Technology DATA RSGIS Information + Methodology + knowledge Technology

16. China Geo-Explorer Spatial Intelligence for Space-Time Data Integration and Analysis Statistics Charts GIS Census Maps Tables Reports

17. Flex WebGIS Mashup Integration GeoGlobeGoogle Map WMS ServerWFS Server Observations Raster DataTime-Series DataVector Data Statistical Data Server User Other Data …. Data Selection ReportsMapsCharts System Architecture

18. Primary Functions Data Selection 数据选择 （政府统计、人口普查、经济普查、工业普查、单位普查） By administrative units (province, city, county, township) By groups By location (X&Y) and spatial range (km or miles) By time-series statistics (province, city and county) By establishments (province, city, county and ZIP) Reporting 报告 Summary report 汇总报告 Comparison report 比较报告 Original data report 原始数据报表 Spatial Analysis 空间分析 Graphic analysis 图形分析 （直方图， 散点图，多变量图） ESDA spatial statistics 探索性空间统计分析 Spatial Models 空间模型 Gravity Models 重力模型 Export 输出 Data tables (Excel) 数据表格 Reports (Excel, Word, PDF) 分析报告 GIS maps (Shape) 数字地图 Maps (PDF) 打印地图

19. Selection by Administrative Units 行政区选择 Select by administrative units Select by map

20. Selection by Groups 分组选择

21. Selection by Locations 按空间位置选择 Select by X & Y coordinates Select by locations on map

22. Selection by Establishments 单位选择

23. Province and City Statistics 政府统计

24. Data Selection

25. Interactive Interface

26. Multiple Outputs

27. Customize Reports

28. Exploratory Spatial Data Analysis

29. Poyang Lake Monitoring and Decision Support System 鄱阳湖水生态监测和决策支持系统 1999.12 1989.7 ~4,000km 2 ~1,000km 2

30. Environmental Challenges with Regional Development

31. System Design C# + ENVI/IDL + JavaScript

32. System Demo 登陆界面 系统主界面 2011.7.4 水体提取结果 2011.7.4 水质综合污染指数 2011.7.4 水体透明度 2011.7.4 悬浮泥沙浓度

33. Spatial Assessment Overlap of water areas with demographic and business data Estimates of population and economic units within buffers

34. Future Work  Integration of more data sources  Cross-validation and calibration  Improvement of detection algorithms  Full Integration with spatial intelligence for impact assessment  Operational portal for international flood monitoring

35. Discussions and Suggestions  Challenges for spatial data sharing  Joint initiatives under CODATA