Humanitarian Mapping - Sahana and OpenStreetMap
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Sahana and OpenStreetMap provide humanitarian mapping tools to help relief organizations in disaster response. Sahana's platform includes tools for situation awareness, decision support, and rapid application development using open standards and open source software. It allows field teams to share GPS information, including offline, and features mapping capabilities like importing overlays from sources like OpenStreetMap, KML, and GPX files.
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Sahana Eden is an open source disaster management software platform that is highly configurable, easy to modify, and has flexible data sharing and import/export options. It can be used across the disaster management cycle of mitigation, preparedness, response and recovery. Sahana Eden has been used by organizations like the Red Cross, UN World Food Programme, and governments. It offers features like incident tracking, dispatching, asset management, data collection/sharing, and integration with GIS mapping.
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This document provides information on setting up a development environment for Sahana Eden, including installing required software, recommended editors and debuggers, and guidelines for customizing and extending Eden through its model-view-controller architecture. Key steps include installing Python and dependencies, configuring the database, using Git for version control, and developing new modules by defining models, controllers, and views.
Tech 1 - Deploying Sahana Eden
This document discusses deploying the Sahana Eden disaster management system. It provides guidance on project planning, deployment options on laptops, servers or cloud platforms, hardware requirements, installation processes, configuration settings, customization for local needs, and testing and maintenance procedures.
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- 2. Oxfamin Haiti Field teams need to Share GPS Information amongst themselves …including Offline…
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- 5. SahanaGIS • Base Maps: – OSM, Google, Yahoo, WMS • Overlays: –Internal, KML, GeoRSS, GPX • Import / Export –XML, JSON via XSLT
- 7. SahanaGIS • OpenLayers/GeoExt front-end • Python back-end: web2py/libxml • PostGIS (optional) • GeoServer (optional) • Mapnik (optional)
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