Historical change review examines how a site, corridor, landscape, or asset has evolved over time using satellite imagery and geospatial comparison. This can help clarify patterns of land-use change, construction, disturbance, expansion, inactivity, or other visible shifts relevant to diligence and monitoring.

Historical Change Review

Burn Scar and Land Disturbance Screening in Riau, Sumatra

A Sentinel-2 case study using burn severity, bare-soil change, and vegetation recovery metrics to assess 2019 fire damage and 2-year landscape recovery in a high-risk peatland region.

Burn severity map of the study area with color-coded fire impact classes from unburned to extreme.
Burn severity map of the study area with color-coded fire impact classes from unburned to extreme.
Our Approach

We applied a three-stage satellite workflow using pre-fire, post-fire, and recovery-period Sentinel-2 imagery.

  • NBR and dNBR were used to identify and classify burned areas by severity

  • BSI was used to detect expansion of exposed soil and surface disturbance

  • NDVI was used to measure vegetation loss immediately after the fire season and recovery by 2021

This multi-temporal design allowed us to assess not only fire impact, but also the pace and spatial variability of post-fire regrowth.

Why This Matters

This workflow provides a practical way to screen for fire-related land disturbance in palm oil and peatland regions where on-the-ground access is limited and compliance scrutiny is high.

Key Findings
  • 6,314 ha burned across the 11,280 ha study area

  • 2,194 ha classified as high or extreme severity

  • Mean NDVI fell 43% after the fire season

  • Vegetation recovered to 76.4% of baseline by 2021

  • Composite Disturbance Score: 73.8 / 100

Need to screen a sourcing landscape for fire-related disturbance?

We provide satellite-based land-risk assessments for due diligence and compliance workflows.

Three-panel vegetation recovery analysis showing loss, regrowth, and recovery ratio after fire.
Three-panel vegetation recovery analysis showing loss, regrowth, and recovery ratio after fire.
Intro

We used Sentinel-2 imagery to identify burn scars, classify fire severity, track bare-soil expansion, and measure vegetation recovery in Riau Province, Indonesia. The analysis found that 56% of the study area was affected during the 2019 fire season, with the most severe impacts concentrated in peat-influenced zones.

Three satellite images of the same area in Riau showing vegetation before fire and after fire
Three satellite images of the same area in Riau showing vegetation before fire and after fire

If the situation is complex, sensitive, or difficult to move forward with confidence, we would be glad to explore whether an initial conversation would be useful.

Discuss a project

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Typical outputs