Carbon Storage and Sequestration Modeling Tool (Time-Series + Climate Impact)

This project estimates land-based carbon stock and sequestration over time using spatial land cover data, extended carbon pools, and optional climate impact modifiers. It adapts and extends concepts from the InVEST Carbon model to meet advanced integrated assessment needs, including high temporal resolution and climate feedback integration.

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Features

• Supports multi-year time series of land-use/land-cover (LULC) maps
• Handles extended carbon pools, including deep soil carbon
• Integrates climate impact rasters to reduce carbon storage where relevant
• Outputs carbon stock totals to timestamped .csv files
• Designed for policy analysis, IAM scenarios, and sustainability modeling

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Project Structure

• carbon_integrated_timeseries.py # Main modeling script data/
• lulc_2020.tif # Example LULC raster (year 2020)
• carbon_pools.csv # CSV lookup: LULC class
• carbon stock climate_impact.tif # (Optional) Climate modifier raster outputs
• carbon_time_series_YYYYMMDD.csv # Time-stamped results

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Inputs

Input File	Description
lulc_time_series	List of (path, year) pairs (e.g., [("lulc_2020.tif", 2020), ...])
carbon_pools_path	CSV with columns: lucode, c_above, c_below, c_soil, c_dead, c_deepsoil
climate_impact.tif	(Optional) Raster with percent reduction per pixel (0–100)

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Example args for Python execution

args = {
    "use_time_series": True,
    "workspace_dir": "outputs/",
    "carbon_pools_path": "data/carbon_pools.csv",
    "lulc_time_series": [
        ("data/lulc_2020.tif", 2020),
        ("data/lulc_2030.tif", 2030)
    ]
}