2016 GMekong Forum - Session 6 - Intro to SERVIR Mekong and dam inundation products
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This document summarizes the objectives, partners, and services of the SERVIR Network, which is a regional partnership that uses earth observation data and geospatial technologies to address issues related to food security, water resources, weather and climate, and land use in Southeast Asia. The SERVIR Network aims to build capacity for using geospatial data and tools, improve access to this information, and support decision-making. It develops products and services through stakeholder engagement and open data sharing. A needs assessment identified priorities like land cover mapping, early warning systems, water resources management, and crop forecasting. The document describes datasets and tools developed by SERVIR, including a dam inundation areas dataset and online and desktop tools for modeling reservoir areas
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2016 GMekong Forum - Session 6 - Intro to SERVIR Mekong and dam inundation products
- 1. 2016 Greater Mekong Forum on Water, Food, and Energy 9-11 November 2016, Bangkok
- 4. Objectives 1. Improved capacity of analysts and decision makers to use earth observation information and geospatial information technologies 2. Improved awareness of and access to geospatial data, tools, knowledge products, and services 3. Increased development and application of user-tailored geospatial data, tools, and knowledge products to inform decision making Consortium Partners
- 5. • Data collection • Geospatial data structures • Data access, flow, and sharing • Data synthesis and analysis • Information / knowledge communication and application Specific decision or policy support context On-the- ground impacts / benefits SERVIR Product and Services Development Process Engaging stakeholders, partnering, supporting platforms Open source, promoting “open data”
- 6. Service Areas and Services Food security • Agricultural monitoring • Drought management • Crop productivity • Rangeland decision support Water resources and disasters • Water resources monitoring and forecasting • Flood management • Hazard monitoring and forecasting • Fire monitoring • Water quality monitoring Weather and climate • Weather monitoring and forecasting • Climate modeling and scenario planning • Air quality monitoring • Adaptation planning Land cover/land use and ecosystems • Land cover mapping • Ecosystem monitoring • REDD+ decision support • Land use decision support • Low emission development planning
- 7. Identifying Needs for Priority-setting 5 Need Areas • Priority themes • Data • Data sharing • Capacity • Tools 5 Countries • Burma • Thailand • Cambodia • Laos • Vietnam 3 Info Sources • Consultations • Questionnaire • Desk study 300 Unique, Experienced Perspectives • ~250 people directly consulted • > 50 questionnaire respondents • > 130 institutions Priority Needs: ● Land cover mapping support ● Early warning systems (flood, drought, forest fire, landslide, extreme weather) ● Water resources management ● Crop yield forecasting Regional Needs Assessment (2014-2015) Technical Request Mechanism
- 10. Standard Stream Gauges + “Virtual Stream Gauges”
- 11. > 200 public datasets MODIS Daily, NBAR, LST, ... Terrain SRTM, GTOPO, NED, ... Atmospheric NOAA NCEP, OMI, ... Land Cover GlobCover, NLCD, ... The Earth Engine Public Data Catalog > 4000 new images every day > 5 million images > 5 petabytes of data Landsat 4, 5, 7, 8 Raw, TOA, SR, ... ... and many more, updating daily! Illustration: Google Earth Engine Team
- 12. Image:Google
- 14. Dataset: Mekong River Dam Inundation Areas
- 15. • Map the areas of inundation created by dams in the Greater Mekong Region • Define standards for production • Map to the highest water mark Objective
- 16. Study Area
- 17. Study Area
- 18. • Two sources of data ▪ Digitizing reservoirs based on high-resolution satellite imagery ▪ Modeling planned and potential reservoirs using a custom-developed tool • Primary reference and digitizing platform: Open Streetmaps • Crowdmapping Approach: Leverage the capacity of USAID GeoCenter interns to map existing reservoirs • Model Planned and Proposed dams using Dam Inundation Area Modeling Tool Methodology
- 19. • 593 Completed and Commissioned dam inundation areas mapped • 237 Planned and Proposed dam inundation areas mapped • 33 dams were on a river and didn’t create reservoirs Results
- 20. • Take advantage of all available satellite imagery to digitize and verify existing polygons (e.g. Digital Globe data available in Google Earth) • Continue to collect and integrate vector and reference data from other sources and projects • Integrate inputs from stakeholders on an ongoing basis Next Steps
- 21. Dam Inundation Area Modeling ToolDam Inundation Area Modeling Tool
- 22. Objective • Allow users to model a hypothetical dam and reservoir at a chosen location • Input: ▪ Location ▪ Dam height
- 23. Approach • ArcGIS ModelBuilder to design and test desktop application • ArcGIS Server Geoprocessing Tool-based Application • Uses ESRI’s cloud-based watershed service • Consumes SRTM-2 30m global DEM product • 2 Versions: ArcGIS Modelbuilder Tool • Desktop based • Requires ArcGIS • Output: Shapefile Online Tool • Cloud based • No special software requirements • Outputs: GeoJason, ESRI Feature Collection
- 24. Using the Online Tool
- 25. Using the Online Tool
- 26. Using the Online Tool
- 27. Using the Online Tool
- 28. Using the Online Tool CSV ESRI Feature Collection GeoJason
- 29. Output
- 30. • Is there an application or decision that you or colleagues might use these resources for? • What additional functionality or data would be useful? • Are you more likely to use the desktop or online version? • Any other ideas? Discussion
- 31. servir.adpc.net