"PyNotes GEE" is a guide for agricultural professionals, environmental scientists, graduate students, and data enthusiasts looking to leverage the power of Python in conjunction with Google Earth Engine to better understand and manage our planet's agricultural resources. In an era where data-driven decision-making has become essential in optimizing yields, conserving resources, and ensuring sustainability, this book emerges as a comprehensive toolkit describing techniques for extracting, processing, and analyzing Earth observation data.
Through a series of practical examples and step-by-step tutorials, "PyNotes GEE" offers a starting point to geospatial data analysis using Python libraries like GeoPandas and Google Earth Engine satellite imagery. The book is aimed at learners that are familiar with the Python programming language, but are just getting started with Google Earth Engine.