SEDIMENTERRA EISC 2019 Plenary Conference - Oslo Coralie BRIVAL Martin GARCIA PEREZ - CALIMA
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SEDIMENTERRA
EISC 2019 Plenary Conference – Oslo
10th May 2021
Coralie BRIVAL Martin GARCIA PEREZ - CALIMA
info@calima.eu
1
LACK OF SEDIMENTS
Sentinel-1 satellite from the Copernicus program
In 2017, after the Gloria Storm in Spain, farmers on the Ebro Delta asked for one thing
SEDIMENTS 2
SURPLUS OF SEDIMENTS
ESA - Envisat's Medium Resolution Imaging Spectrometer
SEDIMENTS discharge from the Ganges River in the Bangladesh coastline - 2003
3
SEDIMENTS
3rd
Third Natural resource used International resource shared Half of the World’s sandy beaches ~ 200 million m3 of dredged
worldwide and used by all coul disappear by 2100 sediment per year in Europe
Still, to understand its dimension and its impact on our environment, we need to take few steps back
4
OBSERVING FROM SPACE
5
SEDIMENTERRA
Poor management of sediment can lead to loss of habitats,
strong degradation of agricultural land or critical issues in
SEDIMENTS
sediment supply
SedimenTerra is an assessment tool using space technologies to manage sediments
Sustainable development
Impacted by sediments: and finance
- Local population - Adaptation to Climate
- Ecosystems
Change plan
- Agriculture and Fishery
- Tourism
- Reduction of Climate Change
- Transportation costs
- Green funds monitoring
Sediments’ regulators: Prevention and safety plan
- National authorities
- International organisation
SedimenTerra - Risk assessment
- Mitigation infrastructures
- International funds
Sediments’ users: Local initiatives
- Farmers - Financial and technical support
- Industrials (construction, - Monitoring and measurement of
manufacture, energy producer…) the impact
6
SEDIMENTERRA HOW IT WORKS
Monitoring sediments using remote sensing, data
1st weather, urban and agricultural modification
Short term
Forecasting sediment from weeks ahead to decades implementation :
2nd ahead using numerical models and computer vision First stages to be
implemented to asses main
Analysing risks and scenario making trough sedimentation causes,
3rd technical reports (infographics, risk map, ecological, establishing an operative
social and economic assessments) network and providing a
system of alerts
4th Decision making thanks to cost benefit analysis
Deployment of the sediment strategy at difference
5th scales using satellite and onsite measurements to collect
& exchange data and to follow the strategy’s results
7
CASE STUDY - BETSIBOKA RIVER, MADAGASCAR
8
SEDIMENTERRA APPLIED TO BETSIBOKA RIVER
1st Monitoring : Betsiboka Delta, one of the
world’s fastest changing coastlines observed
from space
2nd Forecasting : important deforestation
inland, erosion due to sea level rise and
hurricanes
2000 2020 2100 9
SEDIMENTERRA APPLIED TO BETSIBOKA RIVER
3rd Analysing risks and scenario making : creation of different scenario taking into account erosion, sediments
transport, delta locked because of sediments and coral’s protection
4th Decision making at a territory scale in concertation with local and international authorities
No action scenario Sediment management plan
10SEDIMENTERRA APPLIED TO BETSIBOKA RIVER
5th Deployment in 4 stages through national projects, hyperlocal initiatives and green funds
1 – Loosing Sediments 2 – Transporting Sediments 3 – Unlocking the Delta 4 – Rising from Sediments
11RESULTS EXPECTED FOR BETSIBOKA RIVER
12ONE CASE OVER THOUSANDS
1314 Tyuleniy Archipelago - Kazakhstan
15 Pribilof Islands – United States
16 Thames Estuary – Great Britain
17 Mississippi river Delta – United States
18 Lena Delta - Russia
19 Congo River – RDC & RC
20 Speke Gulf, Lake Victoria – Ouganda, Kenya, Tanzania
21 Lagoa Dos Patos - Brazil
22 Kuwait
23 Queensland Coast - Australia
24 Artificial land - China
25 Sand Storage - Singapoor
SEDIMENTERRA NEXT STEPS
SET UP OF SEDIMENTERRA TOOLS
• Improving the data models accuracy
• Considering and modelling local singularities
• Automating the cost benefit analysis and the creation of scenario
CONCRETE ACTION
• Unlocking resources to set up a sediment’s monitoring and implement a forecasting
system on a real case study
26You can also read
