Books

This book provides a comprehensive guide to the physics, sensors, and algorithms of hyperspectral imaging in remote sensing.

A comprehensive guide to managing geospatial data efficiently using DuckDB.

This book provides a comprehensive guide for practitioners to acquire, wrangle, visualize, and model US Census data using the R programming language.

Explores the principles and applications of digital elevation models and related technologies.

A practical guide to integrating artificial intelligence and machine learning with open-source geospatial tools using Python.

This textbook offers a comprehensive guide to the fundamental principles and diverse applications of remote sensing.

A comprehensive guide to performing spatial analysis and GIS operations using the R programming language.

A comprehensive guide to the foundational principles and practical applications of Geographic Information Systems.

A practical guide to mastering GIS programming using Python and open-source geospatial tools.

This book introduces `sits`, an open-source R package for analyzing big Earth observation data using satellite image time series and data cubes.

This resource guides users in analyzing, visualizing, and modeling geographic data using R and open-source software.

A practical guide to applying remote sensing methodologies for agricultural statistics and land use mapping.

An open book about algorithms and methodologies to reconstruct, manipulate, and extract information from terrains.

An introductory textbook covering fundamental concepts and applications of remote sensing.

An open-source online book providing an introduction to geographic data science using R.

Learn to work with geographic data in Python through practical, open-source geocomputation.

A comprehensive guide to Spatial Data Management with PostgreSQL and PostGIS.

A comprehensive analysis of radar interferometry for measuring Earth's topography and deformation, focusing on data interpretation and error analysis.