Drought risk and crisis management cambodia
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![Terminology Drought: A temporary abnormality in precipitation (quantity, timing and effectivness); it differs from aridity, which is restricted to low rainfall regions and is a permanent feature of climate ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Drought risk and crisis management cambodia
- 1. Drought Risk and Crisis Management Cambodia AbolfazlAbesht Master of Engineering (Disaster Preparedness, Mitigation and Management)
- 3. Timing: delays in the start of the rainy season, (occurrence of rains in relation to principal crop growth stages)
- 5. Objectives The overall objective of this study is to provide decision making support information for Drought Risk and Crisis Management. 1- To identify and classify drought prone areas using Tropical Rainfall Measuring Mission (TRMM) data 2- To analyze areas, relatively under water stress using Temperature Vegetation Dryness Index (TVDI) derived from MODIS data 3- To assess feasibility of using remote sensing data for drought monitoring
- 6. Study Area
- 7. Data 1- Tropical Rainfall Measuring Mission (TRMM) 2- Moderate Resolution Imaging Spectroradiometer (MODIS) 2.1 Normalized Difference Vegetation Index (NDVI) 2.2 Land Surface Temperature (LST) 3- Monthly Precipitation data (Meteorological stations) 4- WFP study on drought (2003)
- 8. Methodology Monthly Rainfall (TRMM) Monthly Rainfall (Met-Stations) MODIS Data NDVI-LST Long-term Rainfall Anomaly STDV Normalize SPI Model TVDIModel Meteorological Drought Prone Areas Standardized Precipitation Index (SPI) Soil Moisture Index (SMI) Identify Drought Prone Areas (Preparedness and Mitigation) Drought Monitoring (Response, preparedness and Mitigation)
- 9. Whatis TRMM? TRMM is the acronym for the Tropical Rainfall Measuring Mission. TRMM is focusing on measuring the precipitation globally (Kummerow et al., 1998) It was launched in November 1997 with the data archive from December 1997 to date Spatial resolution of the data is 0.25 degree to 5.0 degree. Precipitation Radar (PR) Visible and Infrared Scanner (VIRS) TRMM Microwave Imager (TMI)
- 10. Correlation between Ground Data and TRMM (Microwave data)
- 11. Correlation between Ground Data and TRMM (Microwave data)
- 12. Identify Drought Prone Areas Common to all types of drought is the fact that they originate from a deficiency of precipitation resulting from an unusual weather pattern (Peterson et al., 1998)
- 13. Rainfall Stability Analysis(Identify Drought Prone Areas) s: sample standard deviation Cv: Coefficient of variation : Observed Values : Standard Deviation : Mean : Mean Value
- 14. Annual Rainfall Distribution (TRMM)
- 15. Classified Drought Prone Areas
- 16. Drought Prone Areas Based on TRMM data vs. Ground data (WFP 2003)
- 18. Concept of Temperature vegetation Dryness Index (TVDI)
- 19. Soil Moisture Index (SMI)
- 20. SMI VS. SPI of different time spansSiemReab
- 21. Soil Moisture Index (2003-2005)
- 22. Soil Moisture Index (2000-2009)
- 23. Conclusion TRMM data can provide valuable information to identify Drought Prone Areas which can be used for Drought Risk Management TVDI model can provide useful information to identify drought affected areas which can be used for Drought Crisis Management as well as Drought Risk Reduction. Development of accurate ground data is a priority to validate and improve the accuracy of remote sensing data analysis which together can be promising in Drought Management.