Welcome to EO4Ecology

We are a nonprofit research organization dedicated to protecting natural habitats through cutting-edge Earth Observation technology.

Our approach is to merge remote-sensed satellite data, field data, and state-of-the-art analytics to monitor natural and agricultural habitats in near real time.

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Our Mission

EO4Ecology combines advanced Earth Observation technologies with conservation science to protect natural and agricultural habitats in Europe, Asia, and Africa. By monitoring habitats from space and with ground-based sensors, we identify threats early and enable timely interventions by rangers, policymakers, and local communities.

Who We Are

EO4Ecology is a multidisciplinary team of scientists, conservationists, engineers, and data experts. We collaborate with university research labs, governments, NGOs, and local communities to bridge cutting-edge science with on-the-ground action.

Projects

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Autonomous Habitat Monitoring

A continuous, satellite-based monitoring platform for tracking wild elephant habitat condition and human-elephant conflict risk over time.

Visit project page →
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Mapping Mangroves

Mapping mangrove forest extent globally using satellite imagery and machine learning, in support of mangrove conservation and climate change mitigation.

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Monitoring Tinyforests with IoT Sensors

Combining ground-based IoT sensors with satellite data to monitor the growth and health of Miyawaki-method tiny forests.

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Tinyforest CO2 Sequestration Calculator

A hosting service for a nature-based-solutions dashboard built by a Sapienza University spin-off startup. The tool calculates how many Miyawaki-method tiny forests, planted with Mediterranean species, are needed to sequester a given amount of CO2 emissions over time.

Visit project page →

Student Projects

Expertise

Forest Health Monitoring

We use high-resolution satellite imagery and advanced analytics to continuously assess forest condition across large spatial scales. By detecting early signs of stress, disease, and degradation, we enable timely interventions that support ecosystem resilience and biodiversity conservation.

Climate change

Forest Phenology and Climate Change

Track changes in forest phenology—such as earlier leaf-out (greening), shifts in flowering, and altered fruiting cycles—driven by rising temperatures and changing precipitation patterns. These shifts can create mismatches between plants and pollinators, reducing reproduction success, while also increasing vulnerability to pests and diseases that thrive under warmer conditions.

Soil, Water & Drought Monitoring

We integrate satellite-derived indicators with ground data to monitor soil moisture, water availability, and drought dynamics. This allows us to provide early warnings and actionable insights for sustainable land and water resource management.

State-of-the-Art Downscaling of Historical Satellite Data

We develop advanced methods to enhance the spatial and temporal resolution of historical satellite datasets. This enables detailed retrospective analyses, improving our understanding of long-term environmental changes and trends.

Ground Truth Point Dataset Creation

Accurate field data is essential for validating and improving remote sensing models. We design and collect high-quality ground truth datasets that strengthen model reliability and ensure robust environmental monitoring outcomes.

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Wild Elephant Habitat Monitoring in Asia

We combine Earth Observation data with ecological modelling to map and monitor elephant habitats. Our approach helps identify movement patterns and conflict zones, supporting conservation efforts and reducing human-elephant interactions.

Our Team

Advisory Committee

For Students

Resources, tutorials, and setup guides for students working on EO4Ecology's science projects — from your first development environment to the remote sensing and data tools we use day to day.

Setting Up Your Development Environment

Step-by-step guide to installing WSL, Visual Studio Code, and Python on a Windows laptop — the standard setup for EO4Ecology student projects.

Read the guide →

Google Earth Engine

Much of our satellite processing runs on Google Earth Engine. Start with Google's own official guides to get comfortable with the platform and its Python API.

Earth Engine Guides →

Python for Data & Science

Most of our analysis pipelines are written in Python. If you're new to it, start with the official tutorial before diving into project-specific code.

Official Python Tutorial →

Git & GitHub Basics

All EO4Ecology project code lives on GitHub. Learn the basics of cloning, committing, and submitting your work through pull requests.

GitHub Getting Started →

More tutorials and project-specific guides will be added here over time. If you're a current student with a resource that helped you, let us know and we'll add it.