ActiveInferenceInstitute

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.

ActiveInferenceInstitute 15 2 Updated 6mo ago

Resources

9
GitHub

Install

npx skillscat add activeinferenceinstitute/geo-infer/geo-infer-forest

Install via the SkillsCat registry.

About this skill

We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing, no bullet points, no headings, no markdown. Max 60 words. Summarize skill: forest analysis and forestry management, used for forest cover change, timber inventory, deforestation detection, carbon stocks, wildfire risk, canopy structure. Problem: need to analyze forest data, detect changes, estimate carbon, assess fire risk, etc. When to use: when analyzing forest cover change, timber inventory, deforestation detection, carbon stocks, wildfire risk, canopy structure. Provide 2-3 sentences.

SKILL.md

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

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

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

Categories