Asia-Pacific Regional Cooperative Mechanism on Drought Monitoring - - PowerPoint PPT Presentation

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Asia-Pacific Regional Cooperative Mechanism on Drought Monitoring - - PowerPoint PPT Presentation

Asia-Pacific Regional Cooperative Mechanism on Drought Monitoring and Early Warning Wu, Guoxiang Professor, Beijing Normal University Senior Advisor on GEO Affairs, NRSC, China Consultant, UN ESCAP A Mechanism under United Nations Promoted


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Asia-Pacific Regional Cooperative Mechanism on Drought Monitoring and Early Warning

Wu, Guoxiang

Professor, Beijing Normal University Senior Advisor on GEO Affairs, NRSC, China Consultant, UN ESCAP

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A Mechanism under United Nations

  • Promoted by Regional Space Applications

Programme (RESAP) of UN ESCAP

  • To be an initiative under GEO
  • Operational provision of satellite data based

monitoring services in the Asia-Pacific region

– For agriculture/ herd drought related decision-

making

– Contributes to development issues of : food

security, climate change adaptation and disaster reduction

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Towards collaborative capacity

  • THOUGH almost all regional countries

– Have built technical and institutional capacities in

use of EO at different levels

  • Most remain far from operational, if work individually
  • Collaborative capacity is the solution through

– External assistance in

  • Customizing EO products and services to suit

local conditions

  • Operational providing interim P/ S
  • Operational providing customized P/ S

– I nternal efforts to provide services to national user

communities

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Partners Technical resources EO satellite data

Satellite data providers

System-corrected images

Primary products

Application models and methodology I nformation extraction by Capable LSP I nformation extracted thematic products

I nterim P/ S Local

service providers

(including technical supporting team

  • f end users)

Other processes by-less capable LSP

Locally available information User systems and practices

End

users

from central to field levels I ncorporate with other decision- making needed information

For decision making

Final P/ S

Role of interim satellite data based Products

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Monitoring and Early Warning

  • The most contributive role EO may play for disaster

reduction - before natural hazards become disasters

– By giving valuable leading time for actions – Examples: WMO and ESCAP established Typhoon

Committee and Panel on Tropical Cyclones

  • Sharing EO capacities for M/ EW meteo-disasters
  • For rescue, relief and subsequent actions af

aft er r m aj aj or r su sudden en disa sast st er ers, many examples existing: – I nternational Charter, Sentinel Asia, RESAP, …

  • Operational EO based M/ EW for other hazards

– Has not yet in the world – Who will try? – The region has the richest resources to take lead

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Drought

  • Occurred more frequently in recent years

– A possible subsequence of global climate change

  • Brought serious eco-social impact to the region

– Mostly agriculture based economies – I ncreasing vulnerabilities to drought

  • As creeping disasters

– Most warning signals might be ignored – Effective disaster reduction actions could be taken

  • Technical maturity well demonstrated
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Early warning : for actions

  • Through identifying on-going drought events

– Affected areas and possible impacts on

agriculture and herding

  • To enable actions possible to prevent impending

hazard from becoming major disasters

– Through better preparedness and prevention

  • Mobilizing available resources
  • Changing plantation of crops
  • Preparing food resources to prevent famine and

market turmoil

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An operational partnership

  • A distributed network

– Comprising service nodes, beneficiary bodies and

ad hoc secretariat

– For continued monitoring of drought signals

  • From beginning of major crop seasons
  • To work as a collaborative capacity

– Satellite data and technical resources contributed

by Service Nodes

– Operational national services by EO institutions to

user communities

– Coordinated by the secretariat

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Three types of services

  • Technical Assistance services

– To customerize well demonstrated methodology

and models

  • Adapting to local conditions
  • For different areas of needed countries
  • Satellite Data Services

– To provide satellite data at near-real-time

  • Monitoring Services

– To provide interim of customerized P/ S to

requested countries that lack of sufficient capability to access and process satellite data operationally

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Modalities of the Mechanism (1)

National consultation – when needs a pilot project

  • On requests with likely commitment
  • Participated by Service Nodes and stakeholders
  • To identifying project components

I mplementation of pilot project

  • Verification and selection of monitoring indices
  • Development and validation of localized P/ S
  • Customize analysis and management systems
  • Building operation and reporting system

Provision of satellite dada through I nternet

  • Most situation, timeliness is limited by bandwidth
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Space I nformation Usages

Function General monitoring Watching Alerting Service functions I dentifying risky areas Monitoring identified high risky areas I mpact estimation, DRR planning, early-warning Spatial resolution 1000 – 250m 250-25m,

  • r higher when necessary

Service provider Mechanism service nodes Service nodes & local ones Mechanism service nodes Local service provider Models Cross-checking

  • f fundamental

physical models Combined multi- model analysis Localized M/ EW models Detailed local M/ EW models Local profile and in-situ information Historical information expected Historical information necessary Historical and in-situ information crucial Service provision by Mechanism Automatically for agreed vulnerable areas On request for identified high risk areas On request for alerted areas Result delivery To national focal points by Mechanism To governments at necessary action levels by national focal point

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Modalities of the Mechanism (2)

Monitoring services by Service Nodes

– General monitoring

  • Low-resolution satellite data based indices

– Watching

  • Low- and mid-resolution satellite data based

interim products for risky areas

  • Supported by timely in-si

sit u observations – Alerting

  • Mid- and high-resolution satellite data based

thematic products for alerted areas

  • To support actions to be taken
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Modalities of the Mechanism (3)

Training and advisory services

– Regional and sub-regional courses for decision

makers

  • Operation of the Mechanism, best practices on

policies and institutional arrangement, decision supporting tools

– Technical training courses at sub-regional and

national levels and hand-on training

  • Operational products and services
  • National training for operation personnel

– National advisory services on both technical and

institutional aspects

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Service Nodes (1)

To be hosted by RESAP members

– Volunteering to provide operational services

  • with governments’ commitments

– Having capacities in:

  • Easy access to EO satellite data
  • Expertise in development and integration of

multi-model methods for drought disaster identification, vulnerability analysis, impact estimation, …

  • Operational provision of satellite data based P/ S
  • Provision of advisory, joint development and

training opportunities

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Service Nodes (2)

China and I ndia committed as Service Nodes

– National Remote Sensing Center under MOST

  • Supported by 5 institutions

– National Remote Sensing Center under I SRO

  • As pillars of the distributed Mechanism

– Cover all types of services – Operational services to be arranged – SOP to be discussed and formulated – Portals to be established for request and delivery

  • f data, products and services
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Beneficiary Bodies

  • Members of RESAP, including

– Space agencies

  • Develop and provide localized services
  • Provide in-situ information for production of

watching and alerting products and services

– National government organs responsible for

drought disaster reduction

  • Further deliver local services to affected

governments and other stakeholders

  • I nternational organizations dealing with drought

disaster reduction in the region

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Ad hoc Secretariat

Hosted by Space Applications Section of UN ESCAP

– Organize national consultation and advisories – Develop pilot projects for requester countries,

and mobilize necessary resources

– Develop standard operation procedure (SOP) – Coordinate services among Services Nodes – Maintain a portal linked with Service Nodes and

sources of relevant information and practices

– Experience sharing and training

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Progress of the Mechanism

  • China and I ndia have made arrangements

– China works within its GEOSS framework – Need to be further consolidated for long-term

  • peration
  • Standard operation procedure

– To be discussed among Service Nodes and the

secretariat

  • Pilot activities started in Mongolia and Sri Lanka
  • Cambodia, Myanmar and Nepal expressed interests

to have pilot projects

  • More financial resources should be mobilized by

ESCAP to support pilot activities

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Wildfire Subject to drought Drud = Drought in grassland + Heavy snow in winter

Major disasters of Mongolia

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Work Plan Year 1 (2013-2014)

No Activities

Contributions Duration Deadline

ESCAP

RADI NRSC

1 Kick-off, Objective identification, Communication platform 1 week Sept 6th 2013 1.1 Kick-off meeting and fact finding 06/09/2013 XX X X 1.2 Objective identification through expert discussion X X XX 1.3 Communication platform X X XX 2 Index candidate list, suitability test and selection, Preparation of Country Profile, Data list and requirements, data preparation in house ESCAP RADI NRSC 2 months Nov 6th 2013 2.1 Preparation of Country Profile XX 2.2 data preparation in house X XX 2.3 Index candidate list XX X 2.4 suitability test and selection XX X 2.5 Data list and requirements (MODIS, soil moisture, meteor. data, climate zone, soil map, boundary of soum) XX X 3 hand-on training and processing, building database up, final indices decision for 2 persons in RADI, China ESCAP RADI NRSC 2 months March 6th 2014 3.1 hand-on training air tickets for two persons XX X 3.2 data processing XX X 3.3 final indices decision XX X 3.4 validation site (number and place) development X XX 3.5 building database up X XX 4 System customization, including database development and data integration ESCAP RADI NRSC 2 months April 6th 2014 4.1 data integration X XX 4.2 software user requirement X XX 4.3 System customization and development XX X 5 System installation and deploy and operational practice, for 1 person in NRSC, Mongolia ESCAP RADI NRSC 1 month May 6th 2014 5.1 System installation XX X 5.2 System operation test and practice X XX 6 In season operation and validation from May to Sept 2014, in-situ measurement, 1 or 2 time field measurement support ESCAP RADI NRSC 5 months Sept 12th 2014 6.1 in-situ measurement plan X XX 6.2 in-situ measurement implementation XX 6.3 field measurement support XX X 6.4 monitoring operation XX 6.5 In season validation from May to Sept 2014 X XX 7 Middle term-review Workshop including field checks, second year implementation plan,in Ulaanbaatar ESCAP RADI NRSC 1 week Sept 15th-19th. 2014 7.1 Middle term-review Workshop in Ulaanbaatar XX X X 7.2 Second year implementation plan XX X X 8 Second year implementation X X X Oct 10 2015

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Pilot activities for Mongolia

  • Technical Advisory Meeting

– Ulaanbaatar, 4-6 Sept. 2013 – Determined work-plan of the pilot project

  • I ndices selection and historical data collection

– By Mongolia and China, Oct. 2013-Feb. 2014

  • Hand-on training for processing, database building

and system customization

– 3 Mongolian experts in Beijing, Feb.-Apr. 2014

  • System installation

– Ulaanbaatar, end May, 2014

  • I n season operation and validation

– 3 selected sites in Mongolia – To be conducted May – Sept. 2014

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Training schedule

RADI NRSC

I

Day 1 Introduction of training programme Introduction ground data (data list) ○ ○

II

Day 2-5 MODIS data downloading ○ Day 8 Introduction of satellite data processing method ○ Day 8-12 The Satellite data pre-processing (historical long time series data) ○ Day 15 Introduction of field data processing ○ Day 15-19 Analysis ancillary data (climate zone, soil map, boundary, soil moisture, rainfall, air temperature and so on) ○ Day 22 hand-on practice of drought monitoring by MODIS data ○ Day 22-25 Drought indices calculation and statistics by MODIS data ○ Day 26 Summarizing of data processing ○ ○

III

Day 29 Introduction of indices suitability test and analysis method ○ ○ Day 29-32 Selected indices suitability test and analysis ○ Day 33A Summarizing from all analysis results ○ ○ Day 33P Intensive discussion and indices decision ○ ○

IV

Day 36 Requirement analysis and available validation site description ○ ○ Day 36-37 Validation scheme development ○ Day 37-39 Field works ○ ○ Day 40 Discussion about the scheme, and determine the experiment plan ○ ○

V

Day 43 Explore the database status and requirement analysis ○ Day 44 Database design ○ ○ Day 45-47 Database implementation ○ Day 46 Discussion and solving the problem ○ ○ Day 47 Test and development ○

VI

Day 50 Demand analysis of drought system ○ ○ Day 51 Introduction of system framework and discussion ○ ○ Day 52-56 Writing up of training report ○ Day 56 Presentation of traing report and farewell ○ ○

Training Plan Schedule

17 February to 16 April 2014, Venue: RADI Olympic Campus

Activities Contributions

Introduction Building database up Software user requirement

Days

Indices selection Validate site development Data processing

Data Processing Indices Selection Validation site development Building database up Software user requirement

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First day of training

  • Introduction of training programme
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Database construction

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Distribution of meteorological stations

Totally 132 Meteorological stations in whole Mongolia One province has 6 stations

DATA PREPARATION

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Soil moisture measurement stations

Soil moisture station has totally 42 in whole Mongolia

DATA PREPARATION

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Time series of SPI drought index

  • 0.4
  • 0.3
  • 0.2
  • 0.1

0.1 0.2 0.3 0.4 0.5 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 SPI Period

SPI drought index, 2000-2013

SPI 線形 (SPI)

No drought Drought

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Reference Reference Reference Drought statistic map, July 2002

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2003

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2002

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2003

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2002

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2003

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2002

Moderate drought Extreme drought Normal

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Reference Reference Reference Drought statistic map, July 2003

Moderate drought Extreme drought Normal

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Pilot activities for Sri Lanka

  • National consultation on satellite data based disaster

reduction, Mid December 2013, Sri Lanka

– Experts from ESCAP, I ndia, China and Mongolia

  • Drought monitoring training, Feb. 2014, Colombo

– For officials and technicians from agriculture and

irrigation departments, with limited knowledge on EO

– Trainers from I ndia and China

  • Regional workshop on drought mechanism

– To be held 1-2 July 2014, Colombo – To review results form Mongolia and Sri Lanka

Pilots

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Agricultural drought assessment made by Service Node of India NDVI of Sri Lanka during 2005, 2012 and 2014

The current year March and April months’ NDVI in comparison with the normal year (2005) and the drought year (2012). It can be observed that the NDVI values are at lower level in the districts of Colombo, Gampaha, Hambantota, Kurunegala, Mannar and Puaalam compared to the 2005 and 2012.

March April May June 2005 2012 2014

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Could the Mechanism be an

example for future GEOSS activities? please comment Thank you for your attention