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A Remote Sensing-based Global Agricultural Drought Monitoring and Forecasting System (GADMFS) for Supporting GEOSS Liping Di, Weiguo Han, Meixia Deng, Ali Yagci , Chunming Peng Center for Spatial Information Science and Systems George Mason University

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  1. A Remote Sensing-based Global Agricultural Drought Monitoring and Forecasting System (GADMFS) for Supporting GEOSS Liping Di, Weiguo Han, Meixia Deng, Ali Yagci, ChunmingPeng Center for Spatial Information Science and Systems George Mason University NASA Global Drought Monitoring Workshop Silver Spring, MD, April 11-12, 2011

  2. Contents • Agricultural Drought • Drought Indices • Current Researches and Limitations • GADMFS Architecture • Project Progress • Demonstration • Future Plan

  3. Drought Definition • Meteorological drought – Precipitation deficit • Hydrological drought – Stream flow or runoff deficit • Agricultural drought – Lack of water (moisture) in the soil • Socioeconomic drought – A manifestation shatters the economy and sociopolitical situation

  4. Distinguished Drought Features • Intensity • Duration • Spatial Coverage

  5. Agricultural Drought • Climate (Evaporation, Precipitation, Temperature) • Soil (Type, Moisture) • Crops (Species, Stage of Development) • Irrigation Capacity (Facilities, Water Resources) • ……

  6. Drought Indices Satellite Data Based • Normalized Difference Vegetation Index (NDVI) • Vegetation Condition Index (VCI) • Temperature Condition Index (TCI) • Vegetation Health Index (VHI)

  7. Drought Indices Climate Data Based • Standardized Precipitation Index (SPI) • Palmer Drought Severity Index (PDSI) – Soil Moisture • Surface Water Supply Index (SWSI)

  8. Drought Indices Data Mining Method • Vegetation Drought Response Index (VegDRI) – Decision Tree • VegPredict – Rule-based predictive regression-tree model source: http://drought.unl.edu/

  9. Current Researches - US

  10. Canada Europe China Africa Current Researches – Other Regions

  11. Current Researches - Global

  12. Limitations • Less standards supported • Not interoperable with GEOSS Common Infrastructure • Relatively coarse spatial and temporal resolution • Lack of historical drought data analysis • Most of them only at regional level • Limited drought information dissemination • No drought information customization and download • Inefficient drought prediction and estimation • Poorly paired with other data sources • Separate and incompatible services

  13. GADMFSObjectives • Establish a system as a component of GEOSS for providing global on-demand and systematic agriculture drought information to users worldwide • Support decision-making with improved monitoring, prediction, and analysis of agriculture drought

  14. GADMFS Architecture Data Retrieval Data Archives Near Real Time Satellite Data Calibrated Data GEOSS Registries Pre-process Access Data Retrieval Calculation Register Web Browser GEO Web Portal Map Generation Calculation Climate Data SPI, PDSI etc NDVI, VCI, TCI, etc Drought Mapping and Monitoring Integration Input Biophysical characteristics Global Agricultural Drought Monitoring and Forecasting Web Portal Input Neural Network Training Neural Network Forecasting Output Drought Prediction Integration Time Series Weather Data Input

  15. System Features • Service Oriented Architecture • AJAX Enabled Web Application • Detailed drought description from global scale to local scale • Powerful time series drought data analysis • OGC Standards (WCS, WFS, WMS, GML, CSW, WPS) compliant • Finer spatial and temporal resolution (up to 1km, 1 day interval) • Customize and download of multiple common drought indices (NDVI, VCI, TCI etc) • Define any interest area by polygons or administrative districts at global level • Drive increased flexibility of drought indices related application • Work best for drought indices exploration and delivery • Interoperable drought related data services and processing services • Implement within GEOSS Common Infrastructure • Contribute to GEOSS with open data access

  16. Data Sources • Satellite Data AVHRR (since 1981), MODIS (since 2000) (NOAA, USGS) Calibrated Data – NASA MEaSUREs Project: Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite Data Records ? http://phenology.arizona.edu/VIP_MEaSUREs_Project.php • Climate Data Precipitation, Temperature, etc (WMO, NCDC) • Biophysical Characteristics Land Cover, Soil Moisture (type, erosion), Irrigation Utilities, Water Resources

  17. Current Progress - Phase I • MODIS data download for the whole world • NDVI, VCI and TCI calculation and validation • Result processing and configuration • Integration in Web portal to visualize, customize, download the results • Trial Version URL: http://gis.csiss.gmu.edu/GADMFS/

  18. Demonstration Cross-Browser

  19. Demonstration • Any Defined Area of Interest Administrative District Selection

  20. Demonstration

  21. Use Case

  22. Existing Problems • Complexity at global level (spatial heterogeneity) • Drought related information acquirement • Inter-comparison with other existed drought monitoring system

  23. Future Plan • Smooth NDVI, VCI, TCI etc drought indices and regenerate map • Add soil moisture related indices • Release trial version to GEOSS community evaluation • Register drought related data and products in GEOSS Registries • Participate in and contribute to AIP-4 of GEOSS

  24. Questions or comments?Thanks!

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