Full Edition now available here!

Geemap and Earth Engine (Preview only)

Geospatial Data Science

by Qiusheng Wu Ph.D.

PDF $5.00
54 pages
ISBN (PDF) 978-0-9868052-2-6
Published 2022-07-01

Get started using Google Earth Engine with the geemap package. Apply Jupyter notebooks with Python and JavaScript for Geospatial applications.

This book is in the works and we are offing a single preview chapter for an initial low price and a future coupon toward a discount on the final full book planned for release in late 2022.

Preview Chapter

In this preview chapter, you will learn to use Google Earth Engine to build an app in a few different ways. The geemap module helps make it easy to access the cloud processing platforms.

This complete chapter, Building Web Apps will teach you about:

Using JavaScript to build an Earth Engine app
Publishing an app built in Python using geemap
Deploy apps locally and using cloud platforms
Using Streamlit to build an app
Resources for further help and study

Full Contents

This is the outline of what the final version will include:

Introducing GEE and Geemap
Creating Interactive Maps
Using Earth Engine Data
Using Local Geospatial Data
Visualizing Geospatial Data
Analyzing Geospatial Data
Export Earth Engine Data
Using Cartoee
Creating Timelapses
Building Web Apps - the preview chapter in this book
Earth Engine Applications
Bibliography

Availability

Full Ebook version: Coming Q4 2022

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Qiusheng Wu

Latest Book

Dr. Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. He is also an Amazon Visiting Academic and a Google Developer Expert (GDE) for Earth Engine. His research interests include geospatial data science, remote sensing, and environmental modeling. Dr. Wu is particularly interested in utilizing big geospatial data and cloud computing (e.g., Google Earth Engine, Microsoft Planetary Computer, Amazon Web Services) to study environmental change, especially surface water and wetland inundation dynamics. His research has been funded by NASA, USDA, and the Department of Defense. Dr. Wu is an advocate of open science and reproducible research, having developed and published various open-source packages for advanced geospatial analysis and data visualization, such as geemap, leafmap, lidar, and segment-geospatial.

Check out his open-source projects at opengeos.

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