WEBINAR DETAILS
  • When
  • About
    Analyzing Geospatial Forest Data with Geopandas and Rasterio
    Date: 16-Oct-2025

    About
    In this session, we will explore how to model forest structure and quantify ecosystem services using Python and Earth observation data. Leveraging GEDI, Sentinel-1, Sentinel-2, and SRTM datasets, we’ll walk through data preprocessing, machine learning techniques (e.g., Random Forest), and interpretation using SHAP for understanding feature importance.

    NOTES
    [a] Access this webinar using the Chrome browser.

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  • Agenda
    • Machine learning approaches for forest modeling: Random Forest, feature selection, and model evaluation
    • Preprocessing spatial and tabular data using Python (geopandas, rasterio, pandas)
    • Overview of forest structure, aboveground biomass (AGB), and ecosystem service indicators
  • Duration
    1 hour 40 minutes
  • Price
    Free
  • Language
    English
  • OPEN TO
    Anyone with the event link can attend
  • Dial-in Number
    Please register for this Webinar to view the dial-in info.
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