Classification with SEPAL

SEPAL (System for Earth Observation Data Access, Processing & Analysis for Land Monitoring) is a cloud-based platform designed to facilitate the processing and analysis of large-scale satellite imagery. It provides users with powerful tools to generate analysis-ready data (ARD), perform land cover classification, and conduct geospatial analysis efficiently.

With SEPAL, users can:

• Access and process large remote sensing datasets without requiring high-end local computing resources.
• Generate radar mosaics and optical composites for further analysis.
• Apply advanced machine learning techniques for land cover classification.

Objectives

1. Preprocess high-quality satellite imagery for further classification.
2. Develop robust classification models for monitoring and assessing land cover and changes.

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Table of contents

• Preprocessing Imagery
• Random Forest Classification