| name | geo-infer-forest |
| description | 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. |
| prerequisites | {"required":["geo-infer-space","geo-infer-data"],"recommended":["geo-infer-bayes"]} |
| difficulty | intermediate |
| estimated_time | 45min |
| examples_dir | ../GEO-INFER-EXAMPLES/examples/ |
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
