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User Guide

Welcome to the SensingPy User Guide! This section contains practical tutorials and examples to help you get started with SensingPy.

Topics

Reading Data

Learn how to read and load geospatial data from different formats:

Preprocessing

Image preprocessing techniques for remote sensing:

Remote Sensing Applications

Specialized remote sensing analysis:

Bathymetry

Satellite-derived bathymetry models:

Interactive Notebooks

All tutorials are provided as Jupyter notebooks that you can download and run locally. Each notebook includes:

  • Step-by-step explanations
  • Visualizations and plots
  • Executable code examples

Prerequisites

To follow these tutorials, you should have:

  • Python 3.11 or higher
  • SensingPy installed (pip install sensingpy)
  • Basic knowledge of Python and NumPy
  • Familiarity with geospatial concepts (helpful but not required)

Getting Started

We recommend starting with the Reading Data tutorials to understand how to load your data, then proceeding to Preprocessing before applying specific analysis techniques.