geo-infer-forest

Forest analysis and forestry management. Use when analyzing forest cover change, timber inventory, deforestation detection, forest carbon stocks, wildfire risk assessment, or canopy structure analysis.

10 stars

byActiveInferenceInstitute

View on GitHub Installation ↓

Best use case

geo-infer-forest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using geo-infer-forest should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/GEO-INFER-FOREST/SKILL.md --create-dirs "https://raw.githubusercontent.com/ActiveInferenceInstitute/GEO-INFER/main/GEO-INFER-FOREST/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/GEO-INFER-FOREST/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How geo-infer-forest Compares

Feature / Agent	geo-infer-forest	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# GEO-INFER-FOREST

## Instructions

### Core Capabilities

- **Forest cover**: Change detection, canopy height models, NDVI analysis
- **Timber inventory**: Volume estimation, growth modeling, harvest planning
- **Deforestation**: Alert systems, historical trend analysis, driver attribution
- **Carbon stocks**: Above/below-ground biomass, soil organic carbon
- **Wildfire**: Risk mapping, fire spread modeling, post-fire recovery

### Key Imports

```python
from geo_infer_forest.core.cover_analysis import ForestCoverAnalyzer
from geo_infer_forest.core.carbon import CarbonStockEstimator
from geo_infer_forest.core.fire_risk import WildfireRiskModel
from geo_infer_forest.core.inventory import TimberInventory
```

## Examples

```python
from geo_infer_forest.core.cover_analysis import ForestCoverAnalyzer

analyzer = ForestCoverAnalyzer()
change = analyzer.detect_change(t1_raster, t2_raster)
loss_area_km2 = change.total_loss_area()
```

## Guidelines


### Integrations

- Integrates with BIO for forest biodiversity assessment
- Integrates with CLIMATE for climate-driven forest risk
- Integrates with SPACE for H3-based forest tessellation
- Test: `uv run python -m pytest GEO-INFER-FOREST/tests/ -v`

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