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DSD-SEA 2019 Use of Earth Observation Data to Enhance Water Resource Management in the Lower Mekong Region-Laverde


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Presentation by Mr. Miguel Laverde, Asian Disaster Preparedness Center (Thailand) at the Seminar Hydro Software to support policy development and real-time decision making, during the Deltares Software Days South-East Asia 2019. Wednesday, 27 November 2019, Bangkok.

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DSD-SEA 2019 Use of Earth Observation Data to Enhance Water Resource Management in the Lower Mekong Region-Laverde

  1. 1. Use of Earth Observation Data to Enhance Water Resource Management in the Lower Mekong Region 1
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  5. 5. 5 SCO NASA SERVIR-Eastern and Southern Africa SERVIR-Hindu Kush and Himalayas SERVIR-Mekong SERVIR-West Africa SERVIR-Amazonia Hub Network
  6. 6. 30 years of experiences in DRR & CR Bangkok, Thailand Intergovernmental organization
  7. 7. 7 Consortium:
  8. 8. 8 Thematic areas Decision support tools:
  9. 9. Examples: ● Droughts forecast in Vietnam ● Floods monitoring in Myanmar ● Land Use planning in the LMB ● Weather and climate data access, LMB 9
  10. 10. 10 Improving Agricultural Resilience to Drought in Vietnam
  11. 11. Droughtin news People walk through the ruins of a Buddhist temple, which has resurfaced in a dried-up dam due to drought, in Lopburi, Thailand, on Aug 1, 2019.(Photo: Reuters/SoeZeya Tun)
  12. 12. Gaps in Drought How do we know that the current situation can be classified a drought? How severe is the drought? When should we act? How do we know that the drought has ended? Develop a drought monitoring and forecasting information for effective decision making. Limited Rain Data Limited Modeling Capacity Inaccurate Drought Forecast Unreliable Crop Advisories Loss of rice production Drought indicators Problem: Loss of rice production due to severe drought
  13. 13. Objectives Develop an integrated system for drought monitoring, analysis and forecasting to be used by local decision makers for planning and responding to droughts. Provide policy-makers and growers with drought and crop related information to facilitate better decision making during growing season. Improving Agricultural Planning in Ninh Thuan, VN
  14. 14. Regional Drought and Crop Yield Information System Framework Drought Forecast Drought Maps Technical Training Demonstration Co-development
  15. 15. RHEAS (Regional Hydrologic Extremes Assessment System - A hydrologic now-cast and forecast framework - Developed by NASA Jet Propulsion Laboratory (JPL) Hydrological Model VIC (Variable Infiltration Capacity model) RHEAS allows forecasts as well Crop Simulation Model DSSAT (Decision Support System for Agrotechnology Transfer) Database PostGIS (Spatially enabled PostgresSQL)
  16. 16. 16 Connecting space to farmers • Nowcast - Actual condition of a particular day (or period) from 1981 onward • Seasonal Forecast - Forecast for 90 days ahead Earth Observations and NASA Products Used • Regional Hydro-Extreme Assessment System (RHEAS) Model • Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) • NCEP Reanalysis Data • NMME Meteorological Forecast Data • AMSR-E/SMAP/SMOS Soil Moisture • MODIS Leaf Area Index Data • MODIS Evapotranspiration Data • Harmonized World Soil Database Regional Drought and Crop Yield Information System
  17. 17. Application SPI – 1 as of 02 Aug 2019
  18. 18. Stakeholder engagement and capacity building MRC Drought Portal:
  19. 19. 19 Supporting Near Real-Time Flood Monitoring in Myanmar
  20. 20. Flood in Myanmar 20 Almost half a million people were affected by 2016 floods and 130,000 in the 2017 floods There exists a dire need to monitor and disseminate information on the flood situation and inundated area in near real-time to allow emergency response operations and support relief activities by national and international organizations.
  21. 21. Objective Develop a multi-sensor based near real- time flood monitoring tool to support the Myanmar Department of Disaster Management (DDM) in monitoring flood events. 21
  22. 22. Hydrological Remote Sensing Analysis of Floods (HYDRAFloods) Web-based tool that leverages the most recently available remotely sensed data acquired by multiple satellite platforms to generate daily flood water maps. 22 Optical imagery SAR imagery Consistent water map
  23. 23. 23 Products Selected Optical Optical Optical Radar (SAR)** Microwave* Satellites / sensors overview: Downscaled to 90m using a combination of Landsat, Sentinel-2 and MERIT DEM * can “see through” most clouds ** can “see through” all clouds Daily updates of low/medium resolution optical/microwave Sub-weekly updates of high resolution optical/radar (and ESA’s Sentinel satellites temporal resolution might still increase)
  24. 24. 24 DDM Flood Monitoring in Myanmar Disaster planning, response, and relief activities during flood events (Beta version)
  25. 25. Droughts 25 Better land use planning in the Lower Mekong Basin
  26. 26. Agriculture and Food Security in Lower Mekong region Introduction Needs assessment in Mekong region •Serving national and regional planning •Serving policy objectives to many different topics
  27. 27. REGIONAL LAND COVER MONITORING SYSTEM Regional Land Cover Monitoring System A robust system that • Is developed collaboratively (over 20 collaborative partners) • Produces consistent products at regular intervals • Serves the expressed needs of multiple users in the region • Uses transparent, well documented, open source approach • Includes quality control / quality assurance methodology that integrates information from multiple sources System Development Consultation Capacity building End user operation
  28. 28. 28 System Architecture System output Modular System Architecture
  29. 29. Time slider (1989 – 2018) Download land cover area and change report Area Definition tools Download land cover map bye defined year and area RLCMS portal
  30. 30. 30 Connecting weather and climate data for the Mekong River Commission MRC
  31. 31. 31 River Forecasting and Monitoring FEWS Flood Forecast System • The MRC Flood Forecast System is a modular hydrological- hydraulic model created to provide short and medium early warnings flood updates for each member countries. • Dry season: weekly forecast • Flood season: Daily forecast Problem statement Tropical Rainfall Measuring Mission (TRMM) Global Precipitation Measurement (GPM) TRMM (TMPA)GPM (IMERG)
  32. 32. Objectives This project is focused on the incorporation and improvement of the Near Real Time GPM into the Flood forecast System of the Mekong River Basin to improve the accuracy in their hydrological models.
  33. 33. Incorporate GPM dataset into the MRC River Flood Forecasting Delft FEWS-Mekong Flood Forecasting systemVirtual Rain and Stream Gauge Information Service (VRSIG) GPM needs to be adjusted to the Lower Mekong Basin
  34. 34. GPM-BICO Bias correction tool for GPM version 1.3
  35. 35. Implementation scheme Daily Rain gauges TRMM Current bias correction scheme Satellite rainfall GPM IMERG NRT GPM-BICO Bias correction tool for GPM Rainfall Bias corrected Hydrological model Hydraulic model Delft FEWS Platform Flood Forecast
  36. 36. GPM-BICO Bias correction tool for GPM • Python based tool • Working with multiple bias correction methods (SD, SB, SDT) • Adjusted to work with MRC daily information • Working operationally or date range based • Evaluate the performance based on R, RMSE and BIAS Available
  37. 37. ● Technical training GPM-BICO 27 May 2019, Phnom Penh, Cambodia The Regional Flood Management and Mitigation Centre (RFMMC)
  38. 38. 38 New methods of bias correction for extreme rainfall Partnership:
  39. 39. 39 Thanks for your attention.. Contacts: RDCYIS HYDRAFLOODS LANDUSE MAP (RLCMS) GPM-BICO