Thematic Area Water. WP3 - Risk assessment and early warning systems. Task Remote sensing applications for flood risk management

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1 Thematic Area Water WP3 - Risk assessment and early warning systems Task Remote sensing applications for flood risk management German Aerospace Center (DLR) Matthias Mück / Joachim Post

2 Remote Sensing applications for flood risk management Main objectives: Development of applicable and transferable methods for flood detection and monitoring and regular low-resolution flood mapping, in order to implement an exemplarily flood mapping service for a specific test area Implementation of a risk assessment concept in one test area in order to support flood management Gained mapping products serve as crucial input parameter for local and regional flood risk management, flood forecasting and early warning Details depending on user/ partner needs, will be discussed during kickoff

3 Remote Sensing applications for flood risk management Case study (most probable): Cuvelai-Basin

4 Remote Sensing applications for flood risk management Task overview Subtask 1: Requirement analysis and resource assessment for service implementation Based on outcomes of the thematic workshop in Oct Subtask 2: Development of flood mapping methods and algorithms; workflow implementation SAR-based flood detection algorithms MODIS flood mapping algorithms Rapid flood risk assessment Flood mapping service

5 Europe Flood service: MODIS fully automatic service (Europe) Scale: Land/Continent (resolution 250m) Repetition rate: daily MODIS flood mapping service, Interactive demand of the flood masks via WebGIS

6 Flood service: TerraSAR-X Fully automatic Flood detection on local/regional Scale Activation on-demand Interactive demand of the flood masks via WebGIS

7 Combining MODIS/ TerraSAR-X Comparison TerraSAR-X / MODIS flood mask TerraSAR-X ordering (15:26) TerraSAR-X acquisition (14:52) MODIS acquisition (08:29) MODIS acquisition (08:18) TerraSAR-X (09/05/2013) MODIS (09/05/2013)

8 Sensor applications Center for satellite-based crisis information (ZKI) EQ 14,3% Flood 40,8% Tsunami 14,3% SASSCAL-Meeting, 2nd & 3rd September 2013

9 ZKI activation - Namibia flood, March 2009 o 32 ZKI map products o mainly based on radar sensors (TerraSAR-X) o maps showing current flood situation and main infrastructure

10 ZKI products Namibia flood, March 2009 SASSCAL-Meeting, 2nd & 3rd September 2013

11 Some lessons-learnt flood 2009 recurring floods are having a devastating effect on the lives and livelihoods of the population in the Northern provinces of Namibia and that the only way to prevent this is through investing in disaster risk management People were unprepared (2009: affected, 37.5 % of population, displaced, 102 dead, ~215 million US $ losses/damage) Economic losses / damage mainly within agriculture, manufacture, trade, housing (Source: Prof. Katjavivi, Director General National Planning Commission Office of the President, Namibia) Weak emergency preparedness and disaster risk reduction framework Weak Early Warning and adequate action upon it Better provision of relief assistance (on time, quantities, access to health facilities) (Source: UN Flash appeal 2009)

12 Rapid Loss Estimation (RaLE) - Overview Over half a billion people are annually affected by floods About a third of the wordwide humanitarian aid is currently flowing into areas affected by floods -> Systems and services for a rapid assessment of the potential human and/ or economic impact is largely missing Main objective of RaLE: Provision of relevant and reliable crisis information (rapid mapping) to support the planning and implementation of emergency and reconstruction efforts Users are primarily government and aid organizations

13 Rapid Loss Estimation (RaLE) Output / Use Output: Number of potentially affected people Number of potential casualties (dead, injured) Number and type of affected critical infrastructure Direct economic losses Use: Rapid crisis management support during the emergency response phase Supporting measures to mitigate natural hazards (e.g. floods) Provision of information for early warning, risk analysis and damage assessment Provision of important input data for reconstruction measures Provision of damage information for insurances

14 Rapid Loss Estimation Human Losses (Ex. Burkina Faso) Flood depth Population distribution Damage function Human losses

15 Remote Sensing applications for flood risk management Task overview Subtask 3: Tool development Automatic Flood Detection tool based on SAR data MODIS-based flood and water mask service Remote sensing and risk based Early Warning support Subtask 4: Validation Technical validation User validation

16 Cooperation with other work packages / Partners o Task 014 Operational system for remote sensing based flood monitoring and mappin services (Ministry of Agriculture, Water and Forestry (MAWF), Namibia) o Interdisciplinary cooperation with Tasks from other thematic areas (e.g. common test sites, data base) o National Remote Sensing Center (NRSC), Zambia (DLR-Visit Mr. Augustine Mulolwa, June 2013), Disaster Management and Mitigation Unit Zambia (Mr. Banda) o 2 nd Tranche: Task 77 National and regional risk and vulnerability mapping o Cooperation with exisiting projects (in order to avoid overlaps/ wasting resources e.g. NASA sensor web, GIZ, UNESCO)

17 Thank you!