- Author: Missing Maps
- Requesting Org: Red Cross Climate Centre
- Map Feature:
The George Washington University, with support from with GFDRR, the Red Cross Red Crescent Climate Centre, and other partners, have created a system that combines machine learning and Forecast-based Financing to effectively integrate information, decisions, and consequences. When upstream rainfall and reservoir levels indicate that inundation downstream is likely, a message is automatically transmitted to the local Red Cross, who can release funds from the Forecast-based Financing system to activate preparedness measures before the flood hits.
To extend this innovation to other locations in developing countries, it is necessary to better understand the nature of vulnerability and exposure downstream of dams. Which are the populated areas where disaster managers should focus their attention if an overspill is inevitable or if dam operators announce early releases?
The Missing Maps project aims to map the most vulnerable places in the world (affected by humanitarian crises: disease epidemics, conflict, natural disasters, poverty, environmental crises). Building on HOT's disaster preparedness projects, the Missing Maps tasks facilitate pre-emptive mapping of priority countries to better facilitate disaster response, medical activities and resource allocation when crises occur.
Created by Giblet - Updated - Priority: medium
- Entities to Map
- Changeset Comment
- added buildings #hotosm-project-3408 #missingmaps #mapforpreparedness #redcross #climatecentre #floodresilience #malaysia When saving your work, please leave the default comment but add what you actually mapped, for example "added buildings and a residential road".
*Please use Digital Globe Premium Imagery for this project
- Please accurately outline all the buildings you can find. The outline should be for the full size of the building even if it is partly covered by trees in the imagery.
- Most buildings are rectangular, after drawing the outline, use the 's' key in the iD web editor to "square" the corners.
- For circular buildings there is the 'o' key in the iD editor to create a circular structure.
- Many buildings are very close, 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. In the iD web editor, holding down the "alt" key will keep nodes of "snapping" to each other and accidentally connecting.
- In the iD web editor, the first time you map a building you will use the "Building Features" category and then at the top of the list select "Building" again, this is the most generic building tag we can use as we almost never can tell the more specific use of any building from imagery alone.
Roads and Other Features
Your are not requested to map anything other than buildings in this project, however if you choose to, please consult the broader OSM Wiki for mapping and tagging guidance.