Natural regeneration
Monitor and protect recovering habitat; avoid unnecessary disturbance where natural processes are functioning.
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Relative cover at chosen horizon02 / MODEL EXPLORER
ILLUSTRATIVE OUTPUTRecovery pathways
Same site conditions. Three distinct management choices.
FIRE IMPACTHigh
Indicative severity category
EROSION CONCERNModerate
Relative screening indicator
MODEL HORIZON10 yr
Change the time slider to compare
Estimated vegetation recovery
Relative cover index · 0–100 · hypothetical trajectories
Natural regenerationAssisted recoveryActive restoration
Assisted recovery
Prioritize targeted erosion protection, access control, invasive species monitoring, and site-specific support.
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Relative cover at chosen horizonActive restoration
Consider carefully justified native planting and other interventions when regeneration capacity is limited.
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Relative cover at chosen horizonMap field observations
Sketch a site as 48 equal cells. Select an observation type, then tap cells to classify them. This is a manually annotated diagram—not satellite imagery or automated classification.
SITE ANNOTATION
Equal-sized cells represent observations, not real measured area. No coordinates, notes or images are transmitted by this module; case notes are stored in this browser's local storage. Export a file to share the case. Do not enter personally identifiable or confidential field information.
From concept to field-validated tool
The next scientific stage is to connect georeferenced burn perimeters, pre- and post-fire Sentinel-2 imagery, terrain, rainfall, habitat and field-survey records. No live data feeds are active in this prototype.
These are external research resources, not connected data sources. Fire detection is not equivalent to burn severity, and remote sensing does not replace field validation. Final restoration decisions must be taken by qualified local teams.
Analyze real satellite scenes
Choose an area on a map, search public Sentinel-2 scene archives, and calculate an observational dNBR raster from pre- and post-fire reflectance. Research-grade inputs; experimental workflow and no ecological prescription.
OPEN SATELLITE EXPLORER ↗Calculate burn severity from reflectance
Use genuine, co-registered pre-fire and post-fire near-infrared (NIR) and shortwave-infrared 2 (SWIR2) surface reflectance values from the same location. Example values are provided for demonstration. This tool does not download or process satellite scenes automatically.
REAL FORMULA / MANUAL DATA ENTRYNBR = (NIR − SWIR2) / (NIR + SWIR2)
dNBR = pre-fire NBR − post-fire NBR
Before fire
After fire
PRE-FIRE NBR—
POST-FIRE NBR—
dNBR—
Enter valid reflectance values to calculate dNBR.
Important: Reflectances must be processed consistently, cloud/shadow masked, and acquired in comparable phenological seasons. Commonly used dNBR class breakpoints (e.g. 0.10, 0.27, 0.44, 0.66) are context dependent and must be locally calibrated. This calculation describes a spectral change, not a verified ecological impact or an instruction to plant.
Recommended next stage: polygon-based Sentinel-2 L2A imagery retrieval, cloud/shadow QA, mosaicking, calibrated burn severity classification and field checks. The current workbench makes no claim of connected imagery or automated geospatial analysis.
Methods, assumptions & limitations
The relative cover index is generated with a bounded exponential recovery curve, using hypothetical modifiers for fire severity, rainfall, seed availability and ecosystem type. Assisted and active pathways increase the assumed rate, while high severity can reduce active intervention success. These coefficients are deliberately illustrative, not fitted to observational data. The chart is not a prediction for any actual location.
Erosion concern is an ordinal screening heuristic based on severity, slope and rainfall. Actual post-fire risks also depend on soil, hydrophobicity, storm intensity, burn pattern, geology, catchment and downstream exposure. Site photographs here are displayed only and never analysed. Restoration decisions require local ecology, safety checks, land ownership permissions, and qualified field assessment.
Next research stage: integrate validated burn severity (e.g. Sentinel-2 dNBR), site-specific habitat layers, monitored regeneration time series, erosion models and uncertainty ranges with field verification. A high severity score alone does not imply tree planting is appropriate.