2024 Nigeria Floods

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General Information
Logo. 2024 Nigeria Floods Response
https://www.hotosm.org/
Description
Nigeria Floods.
Coordination:

HOT

Partners:

Nigerian Red Cross Society, Médecins Sans Frontières (MSF), Humanitarian Mappers

Hashtag: #2024NigeriaFloods

Campaign: Nigeria Floods 2024

Time-frame:

13 Sep 2024 - TBC
Data

HDX Nigeria OSM datasets

Context of the Activation

Alau Dam, located just over 10 miles to the south of Maiduguri, the capital of Borno State, collapsed in the middle of the night on Tuesday 10 September 2024, forcing hundreds of thousands from their homes.Homes, infrastructure, roads, schools, hospitals have been submerged by water.

The dam collapse saw river water overrunning 50% of Maiduguri and state authorities issued evacuation orders to residents in the affected areas, appealing for humanitarian support.

More than 1,000,000 people have been displaced across northeast Nigeria, according to Associated Press. MSF and the Nigerian Red Cross are both responding and in need of data.

Contacts

Hashtag

All contributions through HOT's Tasking Manager are tracked with a unique change set comment tag: #2024NigeriaFloods

ohsomeNow Stats page for tracking overall contributions

Timeline

  • Start: September 13, 2024
  • End: To be defined

Remote Mapping Coordination

Tasking Manager project prioritization

Prioritising neighbourhoods in Maiduguri using the following criteria:

  • If they intersect the flood extent analysed by UNOSAT (light blue outline on on uMap)
  • If they contain priority points shared by Humanitarian Mappers (green on uMap)
  • If they intersect priority points/areas shared by Nigerian Red Cross (blue points/areas on uMap)
  • If they don't intersect with areas mapped (or already being mapped) by volunteers (red areas on uMap)

List of active projects in HOT's Tasking Manager

Map and Data Services

Exporting OpenStreetMap data

About This Disaster Activation

About HOT

Hot logo with text.svg

To learn more about the Humanitarian OpenStreetMap Team (HOT), explore more of our wiki-pages (root: HOT) or our website hotosm.org. HOT is a global community, mostly of volunteers, and it is a US registered nonprofit able to contract with organizations (email info at hotosm.org to contact our staff), we are also a 501(c)(3) charitable organization.

History of this Activation

  • 11 Sep 2024: HOT activated
  • 13 Sep 2024: Existing MSF Tasking Manager project that happened to overlap flooded areas in Maiduguri was bumped to 'Urgent' priority and a priority area (see red polygon) in the north east was defined to focus mapping efforts in flooded zone (see UNOSAT)
  • 13-16 Sep 2024: HOT worked with Nigerian Red Cross and local organization Humanitarian Mappers to geolocate a list of priority areas and points in Maiduguri
  • 15 Sep 2024: HOT requested recent pre-flood images from Maxar's catalogue covering Maiduguri
  • 17 Sep 2024: HOT posted in OpenStreetMap Community Forum to share Wiki and raise awareness
  • 17 Sep 2024: Using priority areas HOT published the first dedicated project in HOT's Tasking Manager focusing on Gwange 1 Ward in Maiduguri
  • 20 Sep 2024: Additional priority areas added to MSF project based on Nigerian Red Cross and Humanitarian Mappers geolocated priority points
  • 23 Sep 2024: All priority areas in MSF project fully mapped and validated so project moved down from 'Urgent' to 'High' priority
  • 29 Sep 2024: Additional priority wards shared by Nigerian Red Cross: Bolori, Gwange I & II, Lamisula and Gomari - used to re-prioritize Tasking Manager projects in order
  • 9 Oct 2024: Based on earlier request Maxar released up-to-date imagery under CC-NC license for impacted areas in Nigeria through the Maxar Open Data Programme
  • 10 Oct 2024: Two pre-flood 2024 images from Maxar's catalogue added to OpenAerialMap. However, on comparison it appears identical to the Esri World imagery. This indicates that the Esri World Imagery was captured in early 2024 and so is relatively up-to-date.

Data Quality

Validation

Validation permissions for Tasking Manager projects are restricted to particular Tasking Manager Teams / users to ensure high quality validation:

OSMCha

A specific OSMCha filter can be used to detect data quality issues across a wider area.

For Mappers

How You Can Contribute

Learn to Map

  • Most of our volunteer needs are for remote OSM contributors, visit LearnOSM.org to get started.

Mapping Priority

  • Please choose from highest priority first.
  • We call for local mappers to prioritize local knowledge on the area.
  • The call is only for intermediate and experienced mappers.
  • Experienced mappers are also asked to participate in validating completed tasks. Information on validating can be found here.

Tasking Manager

Using the prioritization process outlined above the projects have been (and will be) published in the following order:

Tasking Manager Projects
Project # Priority Name Task Mapping Status % Task Validation Status % Completion date
14735 High Missing Maps: Maiduguri, Nigeria (3) - priority area 94% 91% Priority areas completed on 23 Sep 2024
17598 Done Nigeria Flooding: Maiduguri, Gwange 1 100% 100% 20 Sep 2024
17605 Done Nigeria Flooding: Maiduguri, Gamboru 100% 100% 25 Sep 2024
17685 Done Nigeria Flooding: Maiduguri, Gwange 2 100% 100% 07 Oct 2024
17731 Urgent Nigeria Flooding: Maiduguri, Lamisula 84% 80%
17796 Urgent Nigeria Flooding: Maiduguri, Gomari DRAFT DRAFT
17646 High Nigeria Flooding: Maiduguri, Mashamari 91% 90%
17683 High Nigeria Flooding: Maiduguri, Gwange 3 41% 40%

Community Mapathons

Community Mapathons
Date Time Lead Community Country Location/ Meeting Link/ Registration Link Type Status Notes Social Media Post

Project-Specific Mapping Notes

Imagery

Please use Esri World Imagery to map and validate. It is the most recent imagery available. In October 2024 Maxar shared some of their latest available clear imagery over Maiduguri (captured in January 2024) and on comparison it appears identical to the Esri World imagery. This indicates that the Esri World Imagery was captured in early 2024 and so is relatively up-to-date.

If there is a misalignment between the imagery and the existing data, please adjust the imagery to align with mapped roads before mapping buildings.

  • In iD: Open the background panel by pressing 'b' or clicking the layer stack icon on the right side of the screen. Scroll to the bottom of that panel and expand the 'Adjust imagery offset' section. Drag to adjust
  • In JOSM: select Imagery > Imagery Offset > New offset and drag to adjust

Please mention the offset that you have used in your task comment when submitting. This will make it much easier for the validator to check your work.

Buildings

Please map all buildings. Buildings are generally rectangular, so make buildings rectangular even if a shadow, tree, or roof pitch makes it appear otherwise.

  • In iD: draw an area and label it as Building, then correct for right angles with the Q key.
  • In JOSM: draw an area and use the tag building=yes, then correct for right angles using the Q key - OR use the building plugin.

To check whether you missed any buildings or are in doubt about any features, try the following:

  • Zoom out a bit and toggle the data layer off and on a few times (type 'U' in iD to access the menu to do this)
  • Comparing with Bing may be useful as buildings may show differently compared to Esri
  • Increase the saturation of the imagery (hit 'B' in iD and scroll down to display options)

If you see buildings that look like they are under construction or are missing a roof, these should be tagged as normal buildings. It is likely that the construction work has been completed since the Esri imagery was captured.

Mapping hints

  • Parts of the area have been mapped in 2017 and 2019 using old Mapbox and Bing imagery and need updating. If you find it too difficult for you to fix, just map the buildings that not have been mapped yet and leave the rest of the task for another mapper. If you are confident that there are buildings that have been mapped that no longer exist in the Esri imagery you can consider deleting them, but please treat this as a last resort and avoid mass deletions.
  • The local mapping community has collected extremely important local information such as place names, locations of services and road names. So please do not delete any of these! If you have personal knowledge of the area yourself, please don’t hesitate to add that information as well.
  • Buildings may be very close to each other, but do not actually touch each other. Try to map them close to each other without letting them connect or share nodes with each other, roads or residential area outlines.
  • If you have questions, please ask. You can post questions in the Questions and Comments tab of this task or if you are at a mapping event, check with your neighbour or just raise your hand and ask.