From Satellite Data to Decisions

Master Geospatial AI, From Satellite to Insight

Learn the full Earth observation workflow with pygeofetch and pygeovision — the open-source platform powering EOCoreINT.

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Built for the institutions shaping Africa's environmental future

Governments

Universities

NGOs

Research

Industry

The Problem

Earth observation is powerful — and locked behind a paywall

Across Africa, the institutions that most need satellite intelligence — to monitor deforestation, detect illegal mining, track crop health and map urban growth — are forced to choose between expensive proprietary software with per-seat licences, or fragmented scripts that are hard to reproduce and impossible to audit.

EOCoreINT closes that gap with a coherent, production-grade path from raw satellite data all the way to AI-driven decisions, built entirely on open-source foundations.

What We Offer

One Platform, From First Pixel to Production

Everything an institution needs to learn Earth observation AI — and to put it to work.

Training & Certification

Four structured levels from satellite-data fundamentals to custom model training, with auto-graded quizzes and verifiable certificates.

Custom Pipelines

Bespoke monitoring systems for deforestation, mining, crops, coastal erosion and urban growth — scoped, built and delivered end to end.

Data-as-a-Service

Ready-to-use geospatial products on a subscription — monthly NDVI composites, building-footprint extracts and change-detection reports.

Consulting

Expert advisory on satellite-data infrastructure, cloud deployment and AI integration, tailored to your mandate.

The Workflow

From Satellite Data to Decisions in Four Steps

The same pipeline our learners master is the one that powers our services.

Acquire

Search and download imagery from 22+ providers with pygeofetch — over any area on Earth.

Process

Reproject, compute indices like NDVI/NDWI, mask clouds and build clean time series.

Analyse with AI

Run segmentation, detection and change analysis through pygeovision.

Decide

Turn results into auditable maps, reports and alerts stakeholders can act on.

The Curriculum

A Clear Path From Beginner to Expert

Each level builds on the last, with hands-on exercises rooted in real West African case studies.

Level 1

Remote Sensing Fundamentals

Install the toolkit, search the free providers, and download your first imagery over Accra and Kumasi.

Level 2

Intermediate EO Workflows

Vegetation and water indices, cloud masking and time series — White Volta NDVI, cocoa and Lake Volta.

Level 3

Advanced Geospatial AI

Building-footprint extraction, grounded detection and the deforestation and change pipelines.

Level 4

Custom Model Training

Auto-labelling, model training, tiled inference, ONNX export and scheduled production deployment.

Browse the Full Curriculum

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Featured Courses

Advanced Free

Geospatial AI

Foundation Models for Earth Observation

Prithvi-EO-2.0 and DINOv3, explained architecture-first, with honest zero-shot vs fine-tuned comparisons

Samuel Appiah Kubi 4 lessons

Intermediate Free

Remote Sensing

SAR Processing for Flood Mapping

The complete Sentinel-1 GRD pipeline, including three production bugs that fail silently

Samuel Appiah Kubi 5 lessons

Beginner Free

Satellite Data

Satellite Data Acquisition with pygeofetch

Search, authenticate and download real satellite data — from zero to your first Cloud …

Samuel Appiah Kubi 8 lessons

Open Source at the Core

Powered by pygeofetch and pygeovision

EOCoreINT is built entirely on two open-source packages created by our founder. pygeofetch unifies satellite-data access across 22+ providers; pygeovision layers on 24 AI subsystems, 10 end-to-end pipelines and a model registry.

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