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Meetup webinar 2025-10-16 at 14:00

Forest Modeling and Ecosystem Services Evaluation Through a Data-Driven Python Workflow

Event: [Online] Analyzing Geospatial Forest Data with Geopandas and Rasterio

Speakers

Laya Zeinali

PhD candidate · Tarbiat Modares University

Topics

Python gedi sentinel-1 sentinel-2 srtm geopandas rasterio Pandas random forest shap

Description

Exploring how to model forest structure and quantify ecosystem services using Python and Earth observation data (GEDI, Sentinel-1, Sentinel-2, SRTM) with data preprocessing, machine learning (Random Forest), and SHAP interpretation to understand variable importance. Estimating canopy height and aboveground biomass and mapping forest ecosystem services for monitoring and climate research. Case study combining GEDI, Sentinel, and SRTM data.