Methodology

From satellite observation
to damage decision.

A structured pipeline that turns satellite data into actionable damage intelligence.

EARTH OBSERVATIONCHANGE DETECTIONDAMAGE CLASSIFICATIONASSET IMPACTLOSS ASSESSMENTCLAIM DECISION
9-Step Analytical Pipeline

How ScoutVision works.

The same sequence for every analysis: from satellite data to structured intelligence.

01

Event Detection

Fire area and approximate date, from reporting sources, field data or automated alerts.

02

Satellite Acquisition

Pre- and post-event Sentinel-2 observations of the affected area.

03

Image Processing

Radiometric and atmospheric correction to prepare for spectral analysis.

04

Spectral Change Detection

Pre/post spectral comparison to detect changes in vegetation and surface.

05

RBR Analysis

RBR characterizes fire-associated spectral change and estimates burn severity.

06

High-Resolution Fusion

Sentinel-2 combined with high-resolution imagery for better asset-level interpretation.

07

Damage Intelligence

Classification and delimitation of areas by severity, with structured polygons and raster.

08

Asset Impact

Intersection of damage evidence with buildings, vegetation, plantations, parcels and infrastructure.

09

Loss Assessment Support

Maps, metrics and prioritized claim queues to support loss assessment.

Data Architecture

Spectral intelligence meets
high-resolution context.

Sentinel-2 detects fire-associated change. High-resolution context adds the spatial detail needed for asset-level interpretation.

ScoutVision combines both sources within a unified geospatial experience β€” enabling multi-resolution visualization and high-resolution contextual fusion for insurance-grade damage analysis.

Data FusionMulti-Resolution VisualizationContextual Fusion

SENTINEL-2

Spectral Change Detection

RBR

Burn Severity Intelligence

HIGH-RES CONTEXT

Asset-Level Visualization

SCOUTVISION

Damage Intelligence

Damage Intelligence Framework

DETECT β†’ CLASSIFY β†’ MEASURE β†’
CONNECT β†’ PRIORITIZE β†’ VERIFY

Six stages that convert satellite observations into damage intelligence.

DETECT01

Identify post-event change.

CLASSIFY02

Determine damage patterns.

MEASURE03

Quantify affected territory.

CONNECT04

Relate damage with assets.

PRIORITIZE05

Determine what requires attention.

VERIFY06

Support field assessment.

Event Timeline

Where ScoutVision fits in
the claims process.

ScoutVision delivers evidence between the fire event and field deployment β€” before inspectors arrive.

T0

Pre-Fire Baseline

Satellite observations establish pre-event vegetation and surface conditions.

T1

Fire Event

Wildfire occurs across the affected territory.

T2

Post-Event Satellite Observation

Post-fire satellite imagery acquired (subject to revisit cycle and cloud cover conditions).

T3

Damage Analysis

ScoutVision processes imagery, detects change and classifies damage by severity.

T4

Claim Prioritization

Damage evidence intersected with insured assets. Priority queue generated for claims triage.

T5

Field Verification

Adjusters deploy to priority locations with satellite evidence in hand.

Insurer Workflow

From catastrophe event to
prioritized claims workflow.

7 steps: from event to standardized evidence.

1

Add Event

Define the wildfire event location and date.

2

Upload Portfolio

Import policies, assets or claims for intersection.

3

Analyze

ScoutVision identifies affected areas and damage severity.

4

Prioritize

Rank potentially impacted assets by evidence strength.

5

Review

Analyze satellite evidence for each claim or asset.

6

Inspect

Deploy adjusters to priority locations with evidence.

7

Report

Generate standardized satellite analysis evidence packages.

Ready to run your first
damage analysis?

Start free and analyze your first wildfire event with ScoutVision's pipeline.