Building Damage Level Assessments & Forecasts
As an invaluable complement to violence forecasts, building-damage detection enables measurement of conflict intensity, civilian targeting, resource triage (e.g., roofing kits vs. relocation), restoration of critical services, cost estimation, and equitable assignment of assistance.
What It is & Why It Matters
Building-level change detection classifying current damage as None / Minor / Major / Destroyed using multisensor satellite imagery and geospatial data. Results roll up to hyperlocal grid-cell aggregates, with 1–6 month forecasts estimating damage outlooks over time.
In denied-access zones—common in ongoing conflicts—consistent and repeatable evidence of damage is essential for protection planning, claims validation, and reconstruction triage.
Core Features
Damage Scores
Current per-building damage classifications for every identified building, with calibrated probabilities (exportable).
Context Linkage
Damaged areas are cross-referenced with relevant conflict-related events where available.
Grid-level aggregates (current)
For current assessments, hyperlocal damage category aggregates are displayed per grid cell, with confidence intervals.
Forward-looking damage forecasts
Projected counts by category per grid cell and horizon, with point estimates, quantiles, and prediction intervals for stress testing.