Mainstreaming Climate Change in Governance
Disruptive Technologies for Public Assets Governance (DT4PAG)
This Working Version: June 1, 2021
Module 9
Using Earth Observation layers to understand climate risks
Presented by:
Learning Objectives
Marrying information needs to available sources
Data
Satellite Sensor
Processing
Hazard/Risk Insights
Or
Simple indicators/indexes
What is the relevant �local hazard to be captured?
How is it generated and served to the end-user (you!)?
Which sensor/mission is the source?
A road project in Viet Nam
User
Need to understand hazards on area of an infrastructure/asset!
Hazards identified by WBG 2021
Hazards identified by WBG 2021
What data are available out there?
Source: TRMM imagery (NASA & JAXA)
Resolution: 1 x 1 km
A static layer is provided for a year
User
Need to understand flooding events on a specific area of interest
A road project in Viet Nam
Let’s assume
Precipitation data: A Richer View
A road project in Viet Nam.
Note: >16,000 precipitation “pixels” for Vietnam 331,212km2)
Identification of intensive monthly rainfall
Aggregated information of precipitation values
Daily values over a specific timeframe over a road project location
Precipitation data: daily/extreme values
Precipitation data: Yearly aggregated
Precipitation data: Monthly Aggregated
What data are available out there?
Source: TRMM imagery (NASA & JAXA)
Resolution: 1 x 1 km
A static layer is provided for a year
Is there any other source?
User
Need to understand flooding events on a specific area of interest
What data are available out there?
Source: TRMM imagery (NASA & JAXA)
Resolution: 1 x 1 km
A static layer is provided for a year
Are there any other sources available?
Source: ERA5 & ERA 5 Land
Resolution: 25x25km – 10x10km
Timeframe: 1979 - 2021
Source: GPM IMERG
Resolution: 10x10km
Timeframe: 2000 - 2021
Source: Hydro-Estimator
Resolution: 4.5x4.5km
Timeframe: 2000 - 2021
User
Need to understand flooding events on a specific area of interest
Source: CHIRPS
Resolution: 5x5km
Timeframe: 1981 - 2021
Don’t forget to ground truth!
Source: Wikipedia, Rainfall Gauge
from
Free
to
Fee
…of Fee-based EO services to monitor hot-spot areas
A satellite based monitoring solution
Identify patterns and changes over a defined baseline timeframe using satellite based observations e.g. Inundation Monitoring Service for water bodies
Complete end-to-end multi-sourced monitored systems
Flood monitor system for Operational awareness picture in Near-real-Time
Only Satellite data
Satellite + In situ + simulation + Crowd data
Inundation Monitoring Service
Minimum Maximum water extent
Water Frequency
�
Classification of permanent and temporary inundation
�
Time series of Wetness and Water bodies
High Spatial Resolution (10 Meters)
Satellite data (Sentinel 1 & 2)
Service Provision:
Why do real stories matters?
In-situ telemetry station AFTER the Flash Flood event
Not only an infrastructure/ asset disruption
Crowd Sourced data for staff and volunteers
Satellite data
Hydrologic & hydraulic simulation
Near-Real-Time Flood Monitoring System
NRT ingestion and assimilation of data:
Flood Monitoring system
Simulation/modeling,
multi-source EO &
crowdsourced data
Operational awareness picture
delivering
Higher complexity but complete picture
Copernicus Emergency Management Service
Risk And recovery Activations
Rapid Mapping Activations
Global initiatives providing freely EO-based products
High (10-20 m) to
Very high (1-5 m) resolution
Outputs: Mapping service
Flooded Areas
Free hazard layers for Vietnam
Global initiatives providing freely EO-based products
Questions