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Geemap and Earth Engine

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:

  1. Introducing GEE and Geemap
  2. Creating Interactive Maps
  3. Using Earth Engine Data
  4. Using Local Geospatial Data
  5. Visualizing Geospatial Data
  6. Analyzing Geospatial Data
  7. Export Earth Engine Data
  8. Using Cartoee
  9. Creating Timelapses
  10. Building Web Apps - the preview chapter in this book
  11. Earth Engine Applications
  12. Bibliography

Availability

  • Full Ebook version: Coming Q4 2022

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Dr. Qiusheng Wu is an Assistant Professor in the Department of Geography at the University of Tennessee, Knoxville (UTK). His research interests include Geographic Information Science (GIS), remote sensing, and environmental modeling. More specifically, he is interested in applying geospatial big data, machine learning, and cloud computing (e.g., Google Earth Engine, Microsoft Planetary Computer) to study environmental change, especially surface water and wetland inundation dynamics. Dr. Wu is an advocate of open science and reproducible research. He has developed various open-source packages for advanced geospatial analysis (e.g., geemap, leafmap, lidar).

More information about his open-source projects can be found on Github and hundreds of GIS and mapping videos on YouTube.

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