Index Based Drought Monitoring in CLMV countriesThai)AIT... · 2019-05-08 · Index Based Drought...

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Index Based Drought Monitoring in CLMV countries Dr. Rishiraj Dutta Senior Programme Specialist Geoinformatics Center-Asian Institute of Technology Effective use of space applications for drought monitoring in Central Asia 18-19 March 2019, UNCC, Bangkok, Thailand

Transcript of Index Based Drought Monitoring in CLMV countriesThai)AIT... · 2019-05-08 · Index Based Drought...

Page 1: Index Based Drought Monitoring in CLMV countriesThai)AIT... · 2019-05-08 · Index Based Drought Monitoring in CLMV countries Dr. Rishiraj Dutta Senior Programme Specialist Geoinformatics

Index Based Drought Monitoring in CLMV countries

Dr. Rishiraj Dutta

Senior Programme Specialist

Geoinformatics Center-Asian Institute of Technology

Effective use of space applications for drought monitoring in Central Asia

18-19 March 2019, UNCC, Bangkok, Thailand

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Drought Impacts in CLMV Countries

El Nino Impacts (2015-2016)

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• Cambodia: Considered the worst drought inabout 50 years; Banteay Meanchey,Battambang, Pursat, and Kampong Speuprovinces are the worst affected, with around2.5 million people severely affected (NationalCommittee for Disaster Management).

• Lao People’s Democratic Republic:Estimated that around 188,000 households inLao PDR are at risk of food insecurity caused bydrought;

• Rice yield has reduced from 10% to 50% in thecentral parts of the country.

Reference: https://reliefweb.int/disaster/dr-2015-000180-vnm

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• Myanmar: In Myanmar, drought years wereobserved as 1972, 1979, 1982, 1983, 1986 and1987 and 2016;

• Severe impact of El Niño in 2016 (leading toextreme temperatures, unusual rainfall patterns,dry soil, high risk of fires and acute watershortages.

• Vietnam: Experienced worst drought in 90 yearsdue to El Niño, affecting 52 out of 63 provinces;

• Affected 18 provinces with 2 million people.

Reference: https://reliefweb.int/disaster/dr-2015-000180-vnm

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• Of the total 2 million people affected, some500,000 live in the drought-affected SouthCentral and Central Highlands Regions, and 1.5million live in the Mekong Delta.

Reference: https://reliefweb.int/disaster/dr-2015-000180-vnm

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Index Based Drought Monitoring

(Lower Mekong Basin)

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Automatic Drought Monitoring: NPP-Suomi Mission

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MODIS Based Drought Products

Daily NDVI05-Mar-2019

Weekly NDVIWeek 8, Year 2019

Weekly VCIWeek 8, Year 2019

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MODIS Based Drought Products

Weekly TCIWeek 7, Year 2019

Weekly VHIWeek 8, Year 2019

Weekly DVIWeek 8, Year 2019

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Satellite-based Drought Monitoring and Warning system

The system uses freely availablesatellite data with the aim toimprove decision makingprocess

This system is an application ofspace based technology toimplement the Core AgricultureSupport Program of theUniversity of Tokyo, Japan

Regional Partners includes:

• Indonesian Center for Agricultural LandResources Research and Development(ICALRD, Indonesia)

• Geoinformatics Center, Asian Institute ofTechnology (GIC, AIT, Thailand

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Methodology

• S-DMEWS used Keetch-Byram DroughtIndex (KBDI) which is a balance betweenprecipitation and evapotranspiration;

• KBDI measures Meteorological Drought;

• Precipitation measured by Global SatelliteMapping of Precipitation (GSMaP) availablefreely with JAXA;

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Methodology (contd.…)

• Evapotranspiration measured by LandSurface Temperature from JapaneseMeteorological Satellite (MTSAT).

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Drought Index Maps

Cambodia

Lao PDR

Myanmar

Viet Nam

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Available Near Real-Time Drought Information

• Daily, monthly and annual drought indexmaps for every 10 km x 10 km grid;

• Daily updated drought trend graph forevery 10 km x 10 km grid;

• Daily updated drought warning and itsmaps [province name and affected areas(km²)].

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Agricultural Stress Index System (ASIS) of GIEWS - Global Information and Early

Warning System (FAO)

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Country-Level ASIS Tool

• Developed to help countries monitor agriculturaldrought and manage its risks, using satellite datato detect cropped land that could be affected bydrought;

• The country-specific version of the Tool usesgeneral methodological principles of the globalASIS that FAO uses to support the GlobalInformation and Early Warning System on Foodand Agriculture (GIEWS).

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Country Indicators

• The country level maps and graphs depict thelatest 36-month period of the seasonal,vegetation and precipitation indicators;

• The data is presented by dekad and month;

• All three vegetation indicators are based on 10-day (dekadal) vegetation data from the METOP-AVHRR sensor at 1 km resolution (2007 andafter);

• Data at 1 km resolution for the period 1984-2006are derived from the NOAA-AVHRR dataset at 16km resolution.

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NDVI Anomaly

Cambodia

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NDVI Anomaly

Lao PDR

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NDVI Anomaly

Viet Nam

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Regional Drought and Crop Yield Information System (RDCYIS)

• Regional tool that integrates droughtmonitoring and forecasting information aswell as crop yield information to allowdecision-makers in planning andpreparedness during drought situations;

• The system is developed under NASA-SERVIR program (SERVIR-Mekong) forLower Mekong.

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RDCYIS Framework

RDCYIS GENERAL FRAMEWORK

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RDCYIS Interface and Drought Information

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Monitoring & Forecasting Drought and Crop Yield in Lower Mekong Basin

GS SMDI: 2016 GS SPI3: 2016

GS: Growing Season (April – October)

GS SEVERITY: 2016 RICE YIELD: 2016

SEVERITY: 2000 - 2016SPI3: 2000 - 2016SMDI: 2000 - 2016

The study highlightclear climatic patternsand its influence onrice yield.

Source: NASA-JPL/SERVIR-Mekong

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Drought Monitoring System (DMS) in Myanmar

• Department of Meteorology andHydrology, Government of Myanmar hasbeen using the DMS in the Dry Zone toproduce 5- 15 days outlooks on droughtconditions;

• The system developed by National RemoteSensing Center of India has beencustomized and calibrated to Myanmarconditions.

ESCAP’s Regional Drought Mechanism

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Workflow of DMS Software

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NDVI for Drought Monitoring

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Lessons Learned

• Many tools for drought monitoring are availableat global, regional and national levels;

• Most tools can be customized and calibrateddepending on country needs;

• Availability of real time satellite data alsoenhances the effective monitoring of droughtconditions;

• Space-based data is a vital complement toground-based information in combating drought;

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Lessons Learned

• Critical for the Asia-Pacific region to place astronger emphasis on preparedness by applyinginnovative space technologies for effectivedrought monitoring and early warning;

• Availability of timely and free access to space-based data/products and services;

• Space technology can help the agriculturalcommunity to make evidence-based decisions onhow and when to prepare for drought.

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Data Availability

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How can I access drought monitoring information?

• Famine Early Warning Systems (FEWS NET);

• Agricultural Stress Index System (ASIS, FAO);

• Crop monitoring (GEOGLAM);

• Global Agricultural Drought Monitoring andForecasting System (GADMFS - CSISS);

• Global Drought Information System (NIDIS);

• Drought Monitoring (EOSDIS Worldview - NASA).

Source: UNSPIDER

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