CONTENTS i. Steven Ramage (GEO) 2 Marc Paganini (ESA) and … · 2018-05-23 · CONTENTS i. Steven...
Transcript of CONTENTS i. Steven Ramage (GEO) 2 Marc Paganini (ESA) and … · 2018-05-23 · CONTENTS i. Steven...
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CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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ICLEI 9th Global Forum on Urban Resilience and Adapta<on
Earth observa<ons for climate-‐resilient ci<es
GEO Secretariat, Switzerland [email protected] SASNet Fellow, Urban Big Data Centre, University of Glasgow, Scotland
VisiDng Lecturer, ISE, University of Geneva, Switzerland
@steven_ramage @eo4sdg
2
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Session agenda ICLEI Resilient CiDes, April 2018
Speakers • Thomas Kemper, Joint Research Center
(JRC), European Commission • Marc Paganini, European Space Agency
• David Stevens, United NaDons Office for Disaster Risk ReducDon (UNISDR)
• Philip Briscoe, Rezatec • Stephen Passmore, Resilience Brokers • Olanda Bata, Mozambique Coastal CiDes
AdaptaDon Project (USAID)
Desired outcomes • Knowledge of case studies, available resources and value of Earth observaDons
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GEO IN NUMBERS
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SPACE-BASED OBSERVATIONS
IN SITUOBSERVATIONS
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COORDINATED GLOBALLY, REGIONALLY, NATIONALLY & LOCALLY
COMPREHENSIVE ACROSS DOMAINS,
NETWORKS & PLATFORMSSUSTAINED OVER TIME
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GEO works across 8 Societal Benefit Areas (SBAs) to find solu<ons for global challenges. Climate change and associated impacts cut across all SBAs.
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G E O W O R K P R O G R A M M E 2 0 1 7 - 2 0 1 9
7 0 + : F L A G S H I P S , I N I T I AT I V E S & C O M M U N I T Y A C T I V I T I E S S C O R E S O F C O U N T R I E S
T H O U S A N D S O F C O L L A B O R AT O R SH U N D R E D S O F M I L L I O N S I N V E S T E D
I M PA C T O N B I L L I O N S O F L I V E S
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G E O W O R K P R O G R A M M E F L A G S H I P S
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Urban areas face specific challenges in dealing with their water resources.
GEOGLOWS facilitates the use of Earth observa<on assets to contribute to mi<ga<ng water shortages, excesses and degraded quality arising from popula<on growth, climate change and industrial development.
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Ci<es around the world are growing rapidly, puVng their wetland ecosystems at risk. Healthy urban wetlands are vital for urban environments. They help reduce flooding, improve water supply and quality, filter waste, improve air quality, promote well-‐being, provide economic opportuniDes for many, and more.
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GEO-‐VENER contributes to the availability of Earth observaDon data for the effecDve development and operaDon of renewable energy systems.
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G E O E N G A G E M E N T P R I O R I T I E S
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Climate Change Responding to the Paris Agreement Ar<cle 4 and Ar<cle 13 – Na<onal Repor<ng
• Reported five-‐yearly by parDes, successive reducDons in emissions • Using exisDng methods and guidance; not validaDon
Ar<cle 5 Mi<ga<on • Knowledge of evoluDon of sinks and sources
Ar<cle 7 Adapta<on • (7.6) Strengthening cooperaDon, • (7.7c) Research, systemaDc observaDon
Ar<cle 10 Technology Transfer & Ar<cle 11 Capacity Development Ar<cle 14 Global stocktaking
• in the light of equity and the best available science: 2023, 2028… Ar<cle 15 Compliance
GEO PB Ac<on (Aug 2017): Organise a workshop on the EO response to the Paris Agreement
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Positioning geospatial information to address global challenges
EO4SDG INITIATIVE CO-‐CHAIRS Eduardo De La Torre Mexico/INEGI Chu Ishida Japan/JAXA Lawrence Friedl USA/NASA EXECUTIVE SECRETARY Argyro Kavvada USA/NASA-‐BAH
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http://eo4sdg.org Twitter: @EO4SDG
Indicators6.6.1 11.3.1 15.3.1
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hjp://eo4sdg.org/wp-‐content/uploads/2017/08/4.-‐Report_Pilot_Project_Colombia_v3-‐1.pdf
DANE Pilot Project (I) NaDonal AdministraDve Department of StaDsDcs in Colombia
Pilot project using EO to examine SDG11, Indicator 11.3.1 Ra#o of land consump#on to popula#on growth
DANE developed a method that incorporates freely available Landsat images with populaDon data to invesDgate the relaDonship between land consumpDon and populaDon growth in the Barranquilla Metropolitan Area (MA) in northern Colombia.
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Next steps EO and staDsDcal data to address other aspects of SDG 11 Indicator 11.7.1 -‐ Average share of the built-‐up area of ciDes that is open space for public use for all. Also use Earth observaDons for informing the next census. ConDnue to work with EO4SDG and GPSDD: Global Partnership for Sustainable Development Data
hjp://eo4sdg.org/wp-‐content/uploads/2017/08/4.-‐Report_Pilot_Project_Colombia_v3-‐1.pdf
DANE Pilot Project (III) NaDonal AdministraDve Department of StaDsDcs in Colombia
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This proposed GEO iniDaDve will work to improve the availability and use of Earth observaDons to monitor land use change in support of sustainable land management pracDces, for the benefit of all.
GEO Land Degrada<on Neutrality Proposed GEO Work Programme IniDaDve
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GEO Land Degrada<on Neutrality
GEO is partnering with UNCCD to help countries develop the capacity to monitor and report on SDG 15.3.1: “propor#on of land that is degraded over total land area”
Earth ObservaDons for Land DegradaDon
Proposed GEO Work Programme IniDaDve
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WEBINAR TRAINING Remote
Sensing of Land Indicators for SDG 15: 15.1.1 & 15.3.1 June 20-‐22, 2017; English Course Material in English & Spanish
Three-‐session training: Satellite observaDons of land cover; image classificaDon, change detecDon, and techniques for developing accuracy assessments.
Satellites & sensors: Landsat, MODIS, SenDnel 3, Suomi NPP/VIIRS
IN PERSON TRAINING Satellite
Observa<ons of Water Quality for SDG 6: 6.3.2 October 24, 2017; English 16:30-‐19:30; Hemisphere B
Three-‐hour training: Satellite observaDons for monitoring of harmful algal blooms, sediments, and other water pollutants. Hands-‐on Exercises: Acquiring Satellite-‐Based Water Quality Data for SDG Indicator 6.3.2
Agenda 2030 EO Case Studies
GEO is instrumental in integraDng Earth observaDon data into the methodology of measuring, monitoring and achieving the SDG Indicators. Brochure gives graphic illustraDons of EO data allowing decision-‐makers to help idenDfy the status of condiDons they need to report, as well as visualize soluDons. hjps://www.earthobservaDons.org/documents/publicaDons/201703_geo_eo_for_2030_agenda.pdf
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G E O R E G I O N A L I N I T I A T I V E S
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P R I V A T E S E C T O R E S S E N T I A L
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40
CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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Thomas Kemper, European Commission, Joint Research Center
Marc Paganini, European Space Agency
Opportunities for Sustainable Urban Development exploiting Big Data from Space
The 9th Global Forum on Urban Resilience and Adaptation, Resilient Cities 2018 | 26-28 April 2018
B5 Panel: Earth Observations for climate-resilient cities
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EO supporting Global Development Policies
Climate Action
Paris Agreement
Monitoring Climate Change &
Understanding
Sustainable Development
UN SDGs
Measuring Development Status
& Progress
Disaster Risk Reduction
Sendai Framework
Supporting Disaster Resilient
Societies
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“ Data and evidence are the
foundation of development
policies and effective
program implementation. ”
Mahmoud Mohieldin, SVP, World Bank
UN SG Independent Expert Advisory Group, 11/2014
Mobilizing the Data Revolution for Sustainable Development
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Advent of steady satellite data streams for urban sustainable development
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Slide 8
S- 1
Radar
A
3 Apr. 2 0 1 4
B
2 5 Apr. 2 0 1 6
S- 2
High Resolution
Optical
A
2 3 Jun. 2 0 1 5
B
6 Mar. 2 0 1 7
S- 3
Medium Resolution Optical & Altimetry
A
1 6 Feb. 2 0 1 6
B
2018
S- 4
Atmospheric Chemistry
(GEO)
A
2021
B
2027
S- 5 P
Atmospheric Chemistry
(LEO)
A
1 3 Oct . 2 0 1 7
S- 5
Atmospheric Chemistry
(LEO)
A
2021
B
2027
S- 6
Altimetry
A
2020
B
2025
Sent inel Launches
C 2022/23
C 2022/23
D > 2022/23
C 2023
D > 2023
C > 2027
D > 2022/23
The European Copernicus program, Securing free access to satellite data on the long term
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0
10
20
30
40
50
60
70
80
90
100
More Eyes in the Sky
Entrepreneurial Space Age
Start Sentinel Era 2014
EO Satellite Launches Worldwide > 50 kg, excl. meteo
Source: Euroconsult Database, 2017
Now
220 between
2007 - 2018
562 between 2018 - 2022
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Big Data Revolution
ESA EO Data Archive Petabyte
0
10
20
30
40
50
60
70
80
90
100
110
2000 2003 2005 2007 2009 2011 2013 2015 2016 2018 2020 2022 2024 2026
Sentinel missions operated by ESA
Earth Explorer missions
Heritage missions
Third Party & Contributing Missions
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User knowledge & algorithms
User data
User generated results
Efficient remote access for expert users
Mobile data collection on the field
Processing power
Satellite data
Toolbox
{api} knowledge & algorithms
tools
Service provider
Towards efficient “big data” exploitation platforms
“Bringing the users to the data”
Simplify the extraction of information from EO data Enable large scale exploitation of EO data
Stimulate innovation with EO data
The power of the Cloud
The power of Partnerships
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Advances in Big Data Processing
• Landsat data volume:
• 32,808 data sets with a volume of 23 TB
• Single computer: 210 days
• Computer cluster: 2 weeks
• JRC Earth Observation Data Processing Platform (JEODPP): 1 day
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The availability of global EO data sets opens new pathways for spatializing socio-
economic and other data and for creating new knowledge
Combining EO and socio-economic information
Nightlight in settlements Nightlight in settlements Built-up area by income class
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Emergence of urban global data sets with local details
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WSF Evolution: Shanghai
Shanghai 1985-2015
Monitoring urban development
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WSF Evolution: Shanghai 1985
Shanghai 1985
Monitoring urban development
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WSF Evolution: Shanghai 1990
Shanghai 1990
Monitoring urban development
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WSF Evolution: Shanghai 1995
Shanghai 1995
Monitoring urban development
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WSF Evolution: Shanghai 2000
Shanghai 2000
Monitoring urban development
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WSF Evolution: Shanghai 2005
Shanghai 2005
Monitoring urban development
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WSF Evolution: Shanghai 2010
Shanghai 2010
Monitoring urban development
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WSF Evolution: Shanghai 2015
Shanghai 2015
Monitoring urban development
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WSF Evolution: Shanghai 1985 - 2015
Monitoring urban development
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U-TEP, a collaborative on-line infrastructure for urban applications and analytics
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Towards efficient data exploitation
Wouldn’t it be nice, if …
… all data and tools
needed to provide actionable
information …
… were available in one place?
“Bringing the people to the data”
• Simplify the extraction of information from EO data • Enable large scale exploitation of EO data
• Stimulate innovation with EO data • Foster collaborative action
Platform as enabling mechanism
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Towards efficient data exploitation
A platform providing end-to-end
solutions for a broad spectrum
of users to extract information &
indicators for urban management
and sustainability.
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Towards efficient data exploitation
Early Adopters
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Urban TEP: Innovative Studies
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Urban TEP – Analytics & statistics
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EO Products for Urban Development
Waste Sites
Informal Settlements
Population Density
Urban Extent and Change Green Areas/Networks
Transport Infrastructure
Building Footprint
Flood Risk Terrain Motion
Landslide Risk
Baseline Urban Products Urban and Peri-Urban LU /LC
Detailed Change
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Global city-scale information with the Global Human Settlement Layer
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The Global Human Settlement Layer
Symbolic Machine Learning New approach inspired to DNA sequencing and characterization
Spatial Data Modelling New models facilitating the science2policy
Spatial-Temporal
Harmonized Global Data
GEO Human Planet Initiative
SATELLITE IMAGERY
GHSL Global: any open and free decametric-scale or better platform/data
Landsat MSS TM ETM - 15, 30, 80 m
Sentinel 1 2 – 10, 20 m
GHSL Regional/national: depending on bilateral data agreements
Europe, South Africa, Syria –Spot 2.5, 1.5 m Brazil: CBERS 2.5, RapidEye 4m
China: DBAR tbd
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Mapping of built-up (1975-2015)
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Mapping of population (1975-2015)
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Lagos, Nigeria: ~ 5 million inhabitants
Objective city-level comparison
Minneapolis, US: ~ 0.5 million inhabitants
Built-Up Area 2015
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Objective city-level comparison
Green Areas 2015
Lagos, Nigeria: ~ 5 million inhabitants Minneapolis, US: ~ 0.5 million inhabitants
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GHSL – City Centre Database
http://ghsl.jrc.ec.europa.eu/ccdb2016Overview.php
The City Centres Database describes more the 10.000
urban centres identified by the application of the
"Degree of Urbanization" model to the GHSL baseline
data.
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Growing cities
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Shrinking cities
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Quality of life – air quality (PM2.5)
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Take Home Messages
• EO can deliver key environmental information that supports the definition, planning,
implementation, monitoring and assessment of urban development projects in particular
in developing countries (data poor countries).
• Free and open data policies of governmental-funded satellite missions with long term
continuity and frequent revisiting (like the European Copernicus program) bring
unprecedented observations for urban monitoring.
• Advances in Information and Computer Technology (e.g. cloud computing, Machine
Learning) allows the generation of global urban Data sets at affordable prices.
• Human settlement data combined with socio-economic information allows to improve
global awareness on the spatial patterns and processes of today’s urbanizing world.
• Availability of on-line platforms (such as the U-TEP) with “all-in-one” (data, tools &
computing resources) and “end-to-end” solutions (transfer of raw data into ready-to-use
information) facilitates the adoption of and access to EO solutions.
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Earth Observations, a necessity for achieving sustainable development Marc Paganini | [email protected] | Thomas Kemper | [email protected]
GEO earthobservations.org
EC JRC ec.europa.eu/jrc/
ESA www.esa.int
Copernicus copernicus.eu
Sentinels sentinels.copernicus.eu
Urban TEP urban-tep.eo.esa.int
EO4SD Urban www.eo4sd-urban.info
GHSL ghsl.jrc.ec.europa.eu
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Backup slides
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“The integration of statistics, geospatial information, Earth observations, and other sources of Big Data, combined with new emerging technologies, analytics and processes, are becoming a fundamental requirement for countries to measure and monitor local to global sustainable development policies and programs”
UN-GGIM co-chairs
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“The science and policy communities increasingly recognize that cities […] and the underlying urbanization processes are at the center
of global climate change and sustainability challenges.
Policymakers need facts, empirical evidence, and scientifically sound theories
on how to plan and manage cities and urbanization…“ Solecki et al. (2013): It’s time for an urbanization science. Environment 55(1), pp. 12-16
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The European Copernicus initiative Securing satellite data access in the long term
Radar MR Optical + Altimetry
HR Optical Atmos. Chemistry GEO
Atmos. Chemistry LEO
Altimetry
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GEO Human Planet Initiative
• New initiative in the GEO 2017-2019 work programme supporting the GEO Strategic Plan 2016-2025.
• Aims to support novel evidence-based assessment of the human presence on the planet Earth.
• Leverages on advances of Earth Observation technologies and geo-spatial data analytics for improving the global awareness on the spatial patterns and processes of the today’s urbanizing world.
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Human Planet Initiative Core Group
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Human Planet Working Groups
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Human Planet Working Steering Committee
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• Voluntary Commitment of the European Union, OECD, World Bank and FAO
• Evidence based policy support
Global Definition of Cities and Settlements
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Target 11.2: Transport
11.2.1: Proportion of the population that has convenient access to public transport by sex, age and persons with disabilities
Input Data:
Census Data per Ward Level for 2013 Public Transport Stations (BRT, Angkot)
Geospatial Data for SDG 11 – Indicator 11.2.1
Other Spatial Data: EO4SD-Urban Population Product
Buffer Analysis:
Results:
% with access to Public transport =100x (population with convenient access to Public transport
(City Population)
Population Distribution Mapping based on
controlled disaggregation of national census data
Semarang, Indonesia
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92
CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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The Sendai Framework for Disaster Risk Reduction 2015-2030
David Stevens
Head of Bonn Office United Nations Office for Disaster Risk Reduction
26 April 2018
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The Long and Winding Road to DRR
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Target C
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Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population
Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)
Direct economic loss in relation to global GDP, damage to critical infrastructure and number of
disruptions of basic services, attributed to disasters
Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai
Framework for Disaster Risk Reduction 2015-2030
Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national
disaster risk reduction strategies.
A
B
C
D
E
F
Target Goal / Target
Goal 11. Target 11.5
Goal 1. Target 1.5
Goal 11. Target 11.b
Goal 13. Target 13.1 G
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Reporting Submitted for 2017 Data 31 MAR 2018 - SDG Monitoring Unit, UNDESA
Region No. of countries
Percentage
Africa 13 24%
Arab States 4 7%
Asia-Pacific 9 17%
Americas 8 15%
Europe and Central Asia 20 37%
Total 54 100%
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Using data to define policy, inform investments and make decisions
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Revealing risk: integrating analytical and historical views
Frequency 10 times per year
Frequency 1 time every 10
years
Frequency 1 time every
10’000 years
1 million USD 1 billion USD
Extensive
Intensive
High frequency Low severity
Low frequency High severity
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Extensive
Intensive
The risk we will have “to live with…”
4
Residual risk
4 Residual risk
High frequency Low severity
Low frequency High severity
1
Risk reduction
Risk reduction 1
Corrective: Building retrofitting, mitigation strategies.
2
Risk retention
2 Risk retention
Prospective: Financial reserves, public investment, laws and regulations.
Compensatory: Insurance, contingency funds.
3
Risk transfer
3 Risk transfer
Risk Strategies
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THANK YOU
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105
CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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Earth observaDons (EO) for climate-‐resilient ciDes: Case Studies
Philip Briscoe, Chief Operating Officer, Rezatec
26th April 2018
106
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Sustainable Development Goals
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City Resilience: EO in pracDce
SDG 6: Water Quality Risk Monitoring SDG 9: Infrastructure Risk
Monitoring
SDG 7: Green Energy Site IdenDficaDon
SDG 3: Green Space Monitoring
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City Resilience: EO in pracDce
Re-‐naturalisaDon Index Flood mi#ga#on decision
support tool
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Flood miDgaDon decision
support tool
Primary ObjecDve: to establish a method allowing first to idenDfy green spaces with the capacity to miDgate flood events and then prioriDse them according to their potenDal to receive and curb floods.
The index is composed of the following criteria: 1. Human Vulnerability 2. Soil Permeability 3. Slope 4. Flood Storage PotenDal
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Human vulnerability
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Landscape Permeability
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Slope Analysis
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Flood Storage PotenDal
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Re-‐NaturalizaDon Index
Aggregated data layers to derive flood miDgaDon decision support
115
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116
CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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resilience.io and ‘URGED’ project URGED - Urban Resilience GEo Dataportal
Stephen Passmore FRSA EO for climate-resilient citiesICLEI Resilient Cities - BonnApril 26th 2018
Working to enable 5 billion people to live safe, healthy and fulfilling lives by 2030
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• UK charity 2011 to speed up and scale up transformative urban/rural development;
• Operate in space between private, public, knowledge and civil society
sectors;
• Leading experts foster integrated
systems thinking, collaborative approaches, open source tools;
• Develop tools and demonstrators to support implementation of 2030 agenda
in 200 city regions in 5 years;
• Resilience Brokers Programme
8
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Current approach
Shared data, integrated
Economic Environmental Social
Design Planning
Development
Design Development Planning
Eco
nomic
Environmental
Social
Increasing investment and shared stakeholder value through interactive design, systems thinking and collaborative urban-rural approaches
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An integrated Earth-human systems modelling platform for city-regions City I Planet I People
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Visualisation, User Interface- Data Brokerage- Geo-locate flows,
infrastructure - MI- ICSU CODATA
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Policy & Investment Decisions
Key performance Indicators
- Technology options - Proposed locations - Market rules and
regulation
Decisions - Investment in infrastructure • Energy, Water, Transport, Housing, … • Local, foreign, government, private, …
Decisions - Market Policies and planning • TaxaDon, tariffs, quota, subsidies, … • Land use plans, regulaDons, …
Indicator outcome range (5-20 years) • Sector resource and energy flows • Effects on imports & exports • Wastes & Emissions (CO2, CH4,…) • Employment, income, in(equality) • Human well-‐being indicators • Sector economic acDvity / GDP • Access to service / %
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Use Case: Greater Accra, Ghana ● Meeting Accra Global Goal 6 targets.
● Integrated-systems modelling
allowing smart collaborative decision making for investment.
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Edinburgh
Glasgow
Firth of Forth Falkirk
Firth of Clyde
River Forth
UNION CANAL
‘URGED’ - Urban Resilience GEo Dataportal supported by ESA’s Artes 20 IAP programme (Integrated Applications Promotion)
demo project: Union Canal, Scotland (34 mile / 55 km span)
Primary purposes: • Identification of flood hazard;
• Assessment of exposure to flood hazard;
• Relative estimation of urban flood vulnerability;
• Updated flood risk associated with urban, rural land cover scenarios
Tools and techniques: • EO, raster analyses: ERDAS
Imagine, Harris ENVI and SARscape and SNAP;
• Vector data mgt: FME, QGIS, GDAL and PostGIS;
• Hydrological analyses: MIKE FLOOD, WhiteBox;
• Time series and forecasting: R-Shiny / R-Studio.
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Terrain Motion Methods
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Integration: City region, earth systems and technology
Intelligence: Knowledge and interdisciplinary research
Implementation: Collaboration, capacity and scaling
Investment: Project aggregation, capital mobilisation and insurance
Supporting activities: Innovation Business; Youth and Leadership
Programme activity is channeled through four interlocking workstreams and supporting activities:
Programme Delivery Model
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© Resilience Brokers Ltd. (Company no. 10846824). Subsidiary and wholly owned by The Ecological Sequestration Trust: a registered charity in England and Wales (1143397) and a company limited by guarantee (Company no. 07611969)
© Resilience Brokers Ltd. (Company no. 10846824). Subsidiary and wholly owned by The Ecological Sequestration Trust: a registered charity in England and Wales (1143397) and a company limited by guarantee (Company no. 07611969)
Stephen Passmore Technology Director
[email protected] @StephenPassmore
resiliencebrokers.org
130
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131
CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf
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STRENGTHENING ADAPTATION PLANNING IN
MOZAMBICAN COASTAL CITIES
Olanda Bata Chief of Party, Coastal Cities Adaptation Project (CCAP)
Bonn, April 26th, 2018
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COASTAL CITIES ADAPTATION PROJECT OBJECTIVES
Improve the provision of
climate resilient urban services
by municipalities
Increase the adoption of
climate resilient measures by
communities
Promote de adoption of risk management
tools
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VULNERABILITY MAPPING & INVESTMENT IN LAND IMPROVEMENT
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USAID-CCAP INITIATIVES INFORM GLOBAL AND NATIONAL PRIORITIES
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CCAP PRODUCTS AND TOOLS & ADAPTATION AND DRR
SBCC strategy and actions plans
CCA & DRR e-course and Manual
Resilient housing construction techniques and procedures
LGSAT – Local government self-assessment tool
PLA- Local Adaptation Plan
ESOP - Emergency standard Operating procedures
Risk and vulnerability mapping
Integration with digital cadaster
SIGIU - Municipal information management & monitoring
Local Household infrastructure survey
SIGIC - Integrated System for Disaster Information Management
CRVA - Comprehensive risk and vulnerability assessment
1. Climate smart decision making
2. Climate smart land use planning
3. Local resilient development plans
4. Climate resilience construction
5. Social behavior change communication
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GoM Climate Change
Adaptation Strategy &
Strategy for DRR
Improve land management
through investment on (i)
vulnerability maps & (ii) cadaster
SDGs 11 & 13
USAID-CCAP INITIATIVES INFORM GLOBAL & NATIONAL PRIORITIES
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VULNERABILITY MAPPING
Process
1. Conceptualization
2. Community Participation
3. Data Collection
4. Data Processing
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RESULTS Sensitivity Index
Adaptation Capacity Index
Exposure Index
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VULNERABILITY MAPS Vulnerability = ([SENSITIVITY]+[ADAPT CAPACITY]+ [EXPOSURE])/3
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USE OF VULNERABILITY MAPS
Inform and advise on:
• urban land use and management;
• control of risk and vulnerabilities;
• city development.
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USE OF VULNERABILITY MAPS • Notify the landowners and inform them about the
risks and vulnerability of the areas they are requesting
• Data to support the development of Local Adaptation Plans, Municipality structure plans
• Define scenarios of different extreme weather events
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LIMITATIONS
• Lack of municipality data for exposure map such as:
• local sea level rise • temperature • storms • thunderstorms
• Lack of social geo-referenced data in the municipalities;
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THANK YOU
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CONTENTS
i. Steven Ramage (GEO) 2
ii. Marc Paganini (ESA) and 40 Thomas Kemper (JRC EU)
iii. David Stevens (UNISDR) 92
iv. Philip Briscoe (Rezatec) 105
v. Stephen Passmore 116 (Resilience Brokers)
vi. Olanda Bata (USAID CCAP) 131 Session description: https://resilientcities2018.iclei.org/wp-content/uploads/RC2018_Session_Description_B5_Earth_Observations.pdf