Soil Burn Severity

Classify soil burn severity from dNBR values into UNBURNED, LOW, MODERATE, or HIGH sectors.

Updated Dec 20, 2025
One-click install
npx skills add https://github.com/jvalenzano/ranger-twin --skill soil-burn-severity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Soil Burn Severity
Source: https://github.com/jvalenzano/ranger-twin/tree/main/agents/burn_analyst/skills/soil-burn-severity
Command: npx skills add https://github.com/jvalenzano/ranger-twin --skill soil-burn-severity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill accelerates soil burn severity assessment after a fire by applying dNBR thresholds to classify impact, compute acreage by severity, and surface BAER recommendations.

Core Features & Use Cases

  • dNBR-based severity classification: assigns UNBURNED, LOW, MODERATE, or HIGH to each sector.
  • Acreage breakdown & priorities: aggregates burned acres by severity and identifies priority sectors for BAER work.
  • Erosion risk & watershed awareness: evaluates erosion risk using slope data and supports watershed- and infrastructure-protection decisions.
  • Use Case: quickly generates Cedar Creek–style severity reports with a reasoning chain and data sources.

Quick Start

To run the skill, provide a fire_id (e.g., "cedar-creek-2022") and optional sectors. The script loads fixture data by default and returns a full assessment including breakdowns, priority sectors, reasoning, and recommendations.

Frequently Asked Questions about Soil Burn Severity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I classify soil burn severity using dNBR thresholds for a fire assessment?

Soil burn severity classification uses dNBR thresholds to assign UNBURNED, LOW, MODERATE, or HIGH categories to sectors, generating acreage breakdowns and priority sector identification for post-fire response.

What is the best way to generate BAER recommendations after a wildfire?

BAER recommendations are generated by combining dNBR severity classifications with slope-derived erosion risk calculations, outputting structured priority sectors and watershed protection guidance with a transparent reasoning chain.

Can I process multiple fire incidents in a batch for burn severity analysis?

Yes, batch processing for multiple fire incidents is supported. You provide fire IDs and optional sector data, and the analysis returns totals, severity breakdowns, priority sectors, and reasoning chains for each fire queried.

How does erosion risk factor into post-fire soil burn severity mapping?

Erosion risk is calculated from slope data within each classified sector. This computation directly informs BAER recommendations by identifying areas where watershed and infrastructure protection actions are most critical.

Do I need to provide my own sector data to run a dNBR severity classification?

No, providing custom sector data is optional. The skill loads built-in fixture data by default for immediate testing, but you can supply your own sector data to assess specific fire incidents using the same dNBR thresholds.

What limitations exist when using dNBR thresholds for burn severity classification?

Limitations include reliance on accurate slope data for erosion risk computation and the need for actual sector data to replace built-in fixtures, ensuring dNBR threshold classifications reflect real-world fire incident conditions.