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Main Objective
To enhance the efficiency of flood monitoring, assessment and management in West Africa by providing Earth Observation (EO) based services on near real time basis to disaster management organizations and boosting their human capacity to adapt to these services.

Specific Objectives
i. Establish and updatable flood event database
ii. Provide DMOs timely information before, during and after flood events
iii. Strengthen the capacities of DMOs and other target groups (Farmers, Local residents along flood plains)  in the use of Earth Observation data for flood monitoring, Assessment and management
Capacity Building Programme (MiFMASS)
Long Term: Six (6) MSc/MTech Students
Short Term: Six (6) Training Workshops. Four (4) Completed and some online. The training Workshops topics:
i. Flood Database management
ii. Acquisition and Use of Sentinel 1,  2 & 3 Data: Processing and Application
iii. Flood monitoring and Forecasting Modeling
iv. API development interfacing services into information on mobile applications, mail, and sms diffusion systems
v. Training on E-station installation, operations and trouble-shooting
vi. Training on technique for sharing, valida ting and dissemination of products

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Near Real Time mapping of flooding under the canopy

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Near Real Time mapping of flooding under the canopy

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SarVision has developed an automated tool that is able to monitor not only flooding in open areas, but also under the dense canopy of trees. Currently PALSAR radar images are used for this, but in the near future NISAR will be used with a higher temporal resolution.

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SarVision recently developed an automated Near Real Time (6-12 days) tool that is able to detect deforestation and forest degradation in tropical forests with a high accuracy (>95%, 15m). Part of this radar based monitoring system is the detection of flooding and small scale degradation caused by e.g. slash and burn, selective cutting and mining.

Collaboration with state and country governments is welcomed. We offer a technology transfer of our system with Open access to all monitoring products.

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Esri''s learning resource creators are busy creating new lessons for beginning to intermediate imagery and remote sensing. Free to all, and includes link to the software.

https://learn-arcgis-learngis.hub.arcgis.com/pages/imagery-and-remote-sensing

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The CSSTE Consortium focus is on using Open source software and easily and freely available Earth Observation data combined with other ancillary data from the Disaster Monitoring Organisations (DMOs) and Hydro-Met Organisations to carry out the project. The intention is   to remove the problem of annual licensing fee and cost of procuring data. The EUC made freely available the Sentinel data.
We're open to collaboration to share knowledge gained from the project.

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Developed a framework for Regional-scale Flood modeling that integrates GIS and two (2) hydrological models:
Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) and
Hydrologic Engineering Center-River Analysis System (HEC-RAS)
The two (2) models  were used to simulate and model relations between rainfall and runoff in MifMASS Project sites .
Sentinel datasets along ancillary data from the DMOs (Stakeholders) were used in the project.

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Snapshots of Achievements so far

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ARCSSTEE-CSSTE Capacity Building on Flooding

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HumMingBird project (GMV NSL & partners)

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HumMingBird project (GMV NSL & partners)

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As part of the HumMingBird project funded by the European Commission H2020 (https://hummingbird-h2020.eu/) GMV NSL is looking at mapping floods using Sentinel-1 over several years in Somalia. Flood maps will be combined with population displacement data in order to understand migration driven by floods.

We are looking for potential collaborators  within countries facing serious threats from floods and potentially extending the work prototyped in Somalia  elsewhere (e.g. other countries in the Horn of Africa). We are also open to knowledge transfer with various institutions based in Africa.

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RCMRD - an intergovernmental organization, with 20 Member States in the Eastern and Southern Africa. The organization is the hub to the NASA/USAID,'s SERVIR  project for the Eastern and Southern Africa region.

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RCMRD - an intergovernmental organization, with 20 Member States in the Eastern and Southern Africa. The organization is the hub to the NASA/USAID,'s SERVIR  project for the Eastern and Southern Africa region.

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-Capacity building mainly focuses on the use of EOs data in co-development of  operational hydrological model, EF5 and VIC for flash flood forecasting and monitoring in Kenya and Uganda, and Streamflow monitoring and forecasting in Tanzania.
-RCMRD has been contracted by UNDP to Department of Disaster Affairs in the Establishment of Community-Based Flood Early Warning System (CBFEWS) in 8 selected flood  disaster prone districts of Malawi. The wok also detailed, study, installation, testing operation flood sensors in 33 river sites and capacity building of key agencies within the government on the installation, operation and management of the system for the benefit of the most vulnerable downstream communities.

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We are open to collaboration opportunities in the development and provision of reliable action based flood forecasting and management for disaster risks reduction in the region.

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-Gaps still exist on the inadequacy of ground based observed data for flood model calibration and validation.
-Skills transfer and capacity building for the mandated agencies are still are required to take advantage of the recent advancement in the availability of EOs and Satellite data for reliable flood forecasting for disaster risk reduction

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The African Regional Centre for Space Science & Technology Education - English (ARCSSTE-E) is one of the two UN affiliated Centres for Space Science & technology education  in Africa. ARCSSTE-E is located within the Obafemi Awolowo University (OAU) in Ile-Ife, Nigeria and has mandates over 25 countries in Africa. The other Centre for French speaking Africa countries - CRASTE-LF is located in Morocco.
ARCSSTE-E runs 9months PGD programmes and 18months MTech programmes in Sat-Communications; GIS/RS; Sat-Meteorology, Global Navigation Satellite Systems (GNSS), and Basic Space and Atmospheric Science.
ARCSSTE-E also serves as the Centre for Space Science and Technology Education for the Nigeria Space Agency (NASRDA).
CSSTE is currently the Lead of the EUC-AUC GMES & Africa support project to implement the – the “Multi-scale Flood Monitoring and Assessment Services for West Africa - (MifMass)”. This involves seven (7) institutions from five countries (Ghana, Cote d’voire, Benin, Burkina Faso, and Nigeria).

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Good to see ongoing collaboration between Digital Earth Africa and the Africa GeoPortal. If you are interested in connecting to that please visit the geoportal and contact us there. https://www.africageoportal.com/

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Many flood models rely on coarser (90m) DEMs which do not capture the smaller basins. However, with most higher-resolution DEMs there becomes the issue of land cover artifacts such as trees or in the case of urban flooding buildings. There are also issues with geomorphology changes after major flooding events.
There are initiatives looking at editing DEMs and creating higher resolution ones -- the big gap is in training people to do this; increase in photogrammetry training for one.

Check 30m DEM at https://spacedata.copernicus.eu/explore-more/news-archive/-/asset_publisher/Ye8egYeRPLEs/blog/id/434960

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As mentioned yesterday (March 2) it is necessary to do a follow up of how the CB has impacted on the attendees; where are they working, and so on

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Integration of LEO, GEO and SAR data with hydrological Modeling

Showcasing a pilot study for Near real time flood mapping, monitoring and rapid damage assessment

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MIFMASS – Multi-Scale Flood Monitoring & Assessment Services (gmes-mifmass.net)

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They often become user and beneficiaries of our services and we should build their capacity to use them

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Recommended Practice: Radar-based Flood Mapping | UN-SPIDER Knowledge Portal (un-spider.org)

Recommended Practice: Flood Hazard Mapping | UN-SPIDER Knowledge Portal (un-spider.org)

UN-SPIDER · GitHub

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Potential resources for complex issues:
1) https://geocollaborate.com/
2) https://dt.asu.edu/

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Need for improving flood mapping in urban areas with Sentinel-1, where flooded areas are missed out.
Need for tools and methods to develop detailed DSM/DEM to do flood risk mapping at catchment level.

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Rapid mapping service
https://emergency.copernicus.eu/

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Currently mapping river flows at regional, basin level for riverine flooding. SERVIR contributing socio economic data to expand to flash flooding. Look at vulnerability. Flash floods important because of level of mortality.

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Recommended practice on flood mapping with step by step procedure using Sentinel 1 in Google Earth Engine:
https://un-spider.org/advisory-support/recommended-practices/recommended-practice-google-earth-engine-flood-mapping/step-by-step
Or with SNAP:
https://un-spider.org/advisory-support/recommended-practices/recommended-practice-radar-based-flood-mapping

Disaster preparedness mapping with GLOFAS:
https://un-spider.org/advisory-support/recommended-practices/recommended-practice-disaster-preparedness-using-free

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Global flood forecast available to everyone.
https://www.globalfloods.eu/

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RCMRD-                                         -GIS Flood Tool (Data- DEM Stream Network/ Relative DEM,).  

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RCMRD-                                         -GIS Flood Tool (Data- DEM Stream Network/ Relative DEM,).  

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-GLloFAS - Global Flood Awareness System. -The system produces daily flood forecasts (since 2011) and monthly seasonal streamflow outlooks

-EF5 - Ensembles Framework for Flash Flood Forecasting

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DLR is currently collaborating with WorldBank on disaster and risk topics using the World Settlement Footprint (WSF) Suite including 10m settlement, population distribution, 2,5D urban models https://www.understandrisk.org/disruptive-tech-for-africa-2/

https://www.nature.com/articles/s41597-020-00580-5 (dataset is constantly updated)

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Recent online training on flood mapping, e.g. in Nigeria: https://un-spider.org/advisory-support/training-activities/virtual-training-flood-mapping-radar-data-nigeria
Upcoming: UN-SPIDER, NASRDA, NEMA, ZFL National Virtual Expert Meeting, 13-15 April 2021

“Space-based Solutions for Disaster Risk Management and Emergency Response in Nigeria” with flood related topics like improvements to flood early warning systems, Recommended Practices for flood hazard mapping, flood mapping.

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While it is important to improve EO data and modelling on floods further, there is still a big gap with the uptake of these information for local risk adaptation and mitigation measures. More sustainable approaches and funding schemes are necessary.

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ASAP - ANOMALY HOTSPOTS OF AGRICULTURAL PRODUCTION

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ASAP - ANOMALY HOTSPOTS OF AGRICULTURAL PRODUCTION

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ASAP is an online decision support system for early warning about hotspots of agricultural production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning anticipation.

https://mars.jrc.ec.europa.eu/asap/index.php

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Find our training material in our portal https://rus-copernicus.eu/portal/

The tutorial for flood mapping is under The RUS Library -> Train with RUS -> Risk monitoring
Check also out the related video https://www.youtube.com/channel/UCB01WjameYMvL7-XfI8vRIA/videos

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It is a paid service provided by ONDA, one of the five cloud-based platforms (DIAS) developed on European Commission request to facilitate access to Copernicus data and information. Through this service users can access Copernicus data, computing power, processing tools and receive dedicated training on different application fields, including the use of Sentinel data for Floods.
Find more info and contact information at https://www.onda-dias.eu/cms/education/