activeinferenceinstitute/geo_infer/geo-infer-forest

GEO-INFER-FOREST

Instructions

Core Capabilities

• Forest cover: Change detection, NDVI/EVI analysis, canopy cover, LAI, gap detection
• Timber inventory: ForestInventory provides biomass estimation and forest area calculation.
• 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 import (
    CanopyAnalyzer,
    CarbonSequestrationModeler,
    DeforestationDetector,
    FireRiskAssessor,
    ForestInventory,
    WildfireRiskAnalyzer,
)

Examples

import numpy as np
import xarray as xr
from geo_infer_forest import CanopyAnalyzer, ForestInventory
analyzer = CanopyAnalyzer()
ndvi = analyzer.calculate_ndvi(
    red=xr.DataArray(np.full((4, 4), 0.05), dims=("y", "x")),
    nir=xr.DataArray(np.full((4, 4), 0.45), dims=("y", "x")),
)
inventory = ForestInventory()
biomass = inventory.estimate_biomass(
    forest_cover=xr.DataArray(np.full((4, 4), 70.0), dims=("y", "x"))
)

Agent interfaces

Use uv run --frozen geo-infer catalog FOREST to discover public source APIs, then geo-infer describe before calling a selected target. Scripts use geo_infer_api.agent_runtime.AgentSession; the optional stdio MCP server is geo-infer-mcp. See requests, native objects and composition. The adapter retains this module's dependencies and authorization requirements.

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 GEO-INFER-TEST/run_unified_tests.py --module FOREST