Hysen Labs
Open-source project
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osm-in

flood-map

A simple web map to visualize flood information on maps

100 stars71 forksHTMLMIT
01
DEEP OPEN-SOURCE ANALYSIS

flood-map, crowdsourced flood data on a map

An interactive map for visualizing and crowdsourcing flood information, built on OpenStreetMap and Mapbox GL JS, with a public flooded streets layer and several Chennai data sources.

02
DEEP OPEN-SOURCE ANALYSIS

A map for flood information

flood-map is an interactive map to visualize and crowdsource flood related information, built with OpenStreetMap and Mapbox GL JS, with a pointer to press coverage for more reading. The base layer is OpenStreetMap. The whole thing is a simple web map, per the project description, aimed at getting flood data onto a screen.

03
DEEP OPEN-SOURCE ANALYSIS

The flooded streets layer

The flooded streets layer is contributed by the public, with anonymous contributions and no version control for the sake of simplicity. The README encourages use of the collected data for further analysis, and the latest layer can be downloaded as a geojson through an ajax request. It is the crowdsourced heart of the map.

04
DEEP OPEN-SOURCE ANALYSIS

The named data sources

Beyond the base layer, the data sources list is specific. Inundated areas over Chennai come from UNITAR-UNOSAT as of late November, and from ISRO RISAT 1 in early December. Low lying locations come from ISRO Cartodem3 and SRTM 30m, flood relief camp locations from the Chennai Flood Relief Centres crowdmapping effort, and waterlogged roads from The NEWSminute. Each source names who produced the layer.

05
DEEP OPEN-SOURCE ANALYSIS

Contributing data and code

The README says the contributors believe in the open source ideology and would love help improving the map data and source code. Ways in: look at open issues and submit pull requests, or test the source locally by serving the project and opening it in a browser. If you have additional geospatial data related to the Chennai floods, like relief centers or other crowd-sourced information, you can open an issue to get it added as a layer.

06
DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

The project leans on the public: the flooded streets layer is crowdsourced with anonymous contributions, and the README asks for both code help and additional Chennai geospatial data. It is a small, community-maintained map with clear data sources.

07
DEEP OPEN-SOURCE ANALYSIS

Official sources

08
Community notes

Community notes