GIS for Early Warning Systems Training Course

Participants can establish a geospatial data structure suitable for warning operations and information exchange.

• Coordinate reference systems selected for local, regional and global datasets
• Feature classes structured for hazards, exposure, vulnerability and response assets
• Geodatabases designed using unique identifiers, domains and relationship classes
• ISO 19115 metadata fields completed for operational spatial datasets
• Data exchange formats compared: GeoPackage, GeoJSON, WMS and WFS
• Naming conventions and version controls applied to incident mapping products

Participants can represent hazard processes and event footprints as GIS layers for warning analysis.

• Hazard footprints distinguished from susceptibility, probability and intensity surfaces
• Flood extent polygons derived from gauges, models and satellite observations
• Wildfire perimeter, fuel and weather layers organised for spread assessment
• Landslide susceptibility mapped using slope, geology, rainfall and land cover
• Heat hazard surfaces created from temperature, humidity and urban characteristics
• Industrial release plumes represented with wind direction and exclusion zones

Participants can construct exposure and vulnerability datasets for spatial risk prioritisation.

• Population grids compared with census polygons for exposure estimation
• Critical facilities geocoded, classified and verified against authoritative registers
• Asset inventories linked to coordinates, replacement values and service dependencies
• Social vulnerability indicators selected using transparent indicator definitions
• Dasymetric mapping improves population allocation within administrative areas
• Exposure profiles summarised by warning zone, district and settlement

Participants can assess fitness for use and document limitations in early warning datasets.

• Positional accuracy, completeness, timeliness and lineage assessed before operational use
• Attribute validation rules identify missing codes and invalid value ranges
• Topological checks detect gaps, overlaps and disconnected evacuation routes
• Source authority and update frequency recorded within metadata records
• Uncertainty statements matched to forecast confidence and data limitations
• Quality assurance checklists assigned before map publication or alert release

Participants can convert hydro-meteorological observations into spatial indicators for warning decisions.

• Rain gauge observations interpolated using inverse distance weighting and kriging
• River gauge time series linked to catchments and downstream communities
• Accumulated rainfall indices calculated for threshold-based flood warnings
• Weather radar mosaics interpreted for storm movement and intensity
• Forecast grids clipped, resampled and classified into operational warning zones
• Observation latency assessed before relying on automated alert triggers

Participants can select and interpret satellite-derived products for rapid hazard monitoring.

• Sentinel-1 SAR imagery used for cloud-penetrating flood extent detection
• Sentinel-2 spectral indices applied to burn scars and vegetation stress
• Normalized Difference Water Index identifies surface water change areas
• Thermal imagery supports hotspot detection and urban heat assessment
• Change detection separates pre-event and post-event land surface conditions
• Ground-truth observations used to verify remotely sensed hazard classifications

Participants can combine hazard, exposure and vulnerability evidence into transparent risk priorities.

• Risk equation structured around hazard, exposure, vulnerability and capacity
• Weighted overlay models documented through criteria and scoring matrices
• Multi-criteria decision analysis ranks areas requiring early action
• Raster reclassification converts continuous hazard values into operational classes
• Sensitivity analysis tests effects of alternative weights and assumptions
• Priority zones validated against historical impacts and local knowledge

Participants can design warning thresholds and trigger-action matrices supported by GIS evidence.

• Impact-based forecasting connects hazard thresholds with expected consequences
• Trigger matrices link forecast probabilities to pre-agreed response actions
• Return periods interpreted without confusing probability and expected impact
• Threshold calibration uses historical events, losses and false-alarm records
• Escalation levels defined for advisory, watch, warning and emergency
• Anticipatory action windows mapped against lead time and logistics constraints

Participants can create warning zones that support clear targeting, administration and communication.

• Warning zones delineated using hazard boundaries, catchments and administrative units
• Geofencing rules prepared for location-based notification services
• Settlement names, landmarks and local boundaries verified for public messages
• Zone hierarchies maintained from national regions to neighbourhood polygons
• Population counts estimated for each warning area and severity class
• Boundary changes managed without breaking historical warning records

Participants can assess evacuation access and identify spatial constraints to protective movement.

• Network analysis calculates shortest paths to designated safe locations
• Road closures, bridge limits and flood depth integrated into route models
• Service areas identify populations reachable within specified travel times
• Shelter capacities compared with population demand and accessibility
• Accessibility maps identify isolated settlements during flood or wildfire events
• Route maps prepared for responders, communities and transport coordinators

Participants can produce clear operational maps for command, public information and field deployment.

• Map purpose determines scale, symbology, annotation and information density
• Incident map templates standardise titles, legends, timestamps and source notes
• Colour schemes distinguish alert severity without misrepresenting risk magnitude
• Reference grids and coordinates support field reporting and task allocation
• Inset maps show location context for national and local audiences
• Print and mobile layouts tested for readability under operational conditions

Participants can specify GIS dashboards that present current conditions and decision-critical indicators.

• Dashboard indicators selected from operational questions rather than available data
• Time-enabled layers display changing rainfall, river levels and alert status
• Filters support comparisons by location, hazard, severity and reporting period
• Status panels distinguish observed conditions, forecasts and unverified reports
• Refresh schedules aligned with sensor feeds and operational briefing cycles
• Dashboard governance assigns owners for data updates and publication approval

Participants can prepare geographically targeted alerts aligned with Common Alerting Protocol fields.

• Common Alerting Protocol fields mapped to warning content requirements
• Alert polygons encoded with event, severity, certainty and urgency attributes
• Protective-action instructions written for specific locations and hazard conditions
• Message versions controlled across web, SMS, radio and social channels
• Multilingual place names checked against authoritative geographic gazetteers
• Acknowledgement and delivery data incorporated into warning performance reviews

Participants can design field data collection workflows that feed verified information into GIS operations.

• Mobile survey forms capture location, time, observation and evidence photographs
• Controlled vocabularies improve consistency in damage and needs assessments
• Offline collection plans address connectivity gaps during major incidents
• Field reports prioritised through verification status and source reliability
• Crowdsourced observations screened using location, timestamp and corroboration checks
• Data protection rules applied to household, health and displacement information

Participants can establish governance arrangements for shared early warning data and products.

• Data-sharing agreements define custodianship, access rights and update responsibilities
• Operating procedures assign map production, review and release authorities
• Common operating picture requirements agreed across technical and response agencies
• Information classification protects sensitive infrastructure and personal location data
• Service-level targets specify update intervals for critical warning datasets
• After-action reviews capture data failures, decisions and corrective measures

Participants can apply GIS workflows to a flood scenario from forecast receipt to warning release.

• Forecast rainfall converted into catchment-specific flood risk indicators
• River threshold exceedances mapped against downstream exposure and critical facilities
• Flood extent scenarios compared with evacuation routes and shelter locations
• Warning zones prioritised using expected impacts and available lead time
• Situation reports compiled from maps, indicators and verified field observations
• Decision logs record assumptions, trigger evidence and issued warning products

Participants can apply GIS analysis to wildfire and heat-risk warning scenarios.

• Fire weather indices combined with fuels, slope and settlement exposure
• Hotspot detections screened against land cover and false-positive sources
• Wildfire spread directions assessed using wind, terrain and fuel continuity
• Heat-health warning zones matched with age, health and housing indicators
• Cooling centres mapped against public transport and walking accessibility
• Public messages adjusted for hazard type, audience and action urgency

Participants can plan a practical implementation pathway for an operational GIS early warning capability.

• Capability assessments identify gaps in data, staff, systems and governance
• Minimum viable warning products defined for priority hazards and locations
• Implementation roadmaps sequence data preparation, testing, training and handover
• Maintenance schedules cover sensors, datasets, templates and contact directories
• Performance indicators track lead time, accuracy, reach and response
• Budget assumptions documented for software, imagery, hosting and field verification

Participants can build, review and present a complete GIS-enabled early warning system design for a selected hazard and area.

• Hazard scenario, users and protective-action decisions defined for the design
• Geodatabase schema assembled for monitoring, exposure, assets and warning zones
• Risk analysis produces priority areas, thresholds and trigger-action matrix
• Operational maps and dashboard specifications communicate current warning conditions
• Alert polygons, CAP fields and dissemination pathways prepared for release
• Peer review tests data quality, assumptions, usability and governance arrangements