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Ecosystem Services GeoAI · GitHub

Ecosystem Services GeoAI

We are a group of geographers, interdisciplinary ecologists and machine learning engineers who study ecosystem services and human-environment interactions.

Hi there 👋

🙋‍♀️ We are a research group of geographers, machine learning engineers, interdisciplinary ecologists, and environmental data scientists from Dr. Chang Zhao’s Ecosystem Services Geo-AI Lab at the Agronomy Department at the University of Florida.

Ecosystem services is a transdisciplinary field that examines both marketed and non-marketed goods and benefits within complex socio-ecological systems, encompassing biodiversity, human activities, and the abiotic environment. These include provisioning, regulating, supporting, and cultural services, for example, food and forage production, water quality regulation, carbon sequestration, microclimate moderation, pollination, and intangible cultural benefits such as wildlife viewing, landscape aesthetics, and outdoor recreation.

We apply a broad suite of geospatial, statistical, and artificial intelligence (AI) methods, alongside observational, modeling, and mixed approaches, to quantify, map, and value multiple ecosystem services and their interactions across heterogenous urban and rural landscapes, at local to global scales. As an interdisciplinary team, we actively collaborate with agronomists, ecologists, entomologists, engineers, economists, computer scientists, and social scientists to advance research on ecosystem services supply, demand and flows.

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  1. Opuntia-Stricta-Mapping-Laikipia-Kenya Opuntia-Stricta-Mapping-Laikipia-Kenya Public

    10‑m invasive Opuntia stricta mapping in Laikipia, Kenya with time‑series remote sensing and explainable Random Forest (RF-SHAP)

    Jupyter Notebook 3

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