Earth Engine and Geemap: Geospatial Data Science with Python
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| Publisher | Locate Press |
| ISBN 13 | 9781738767519 |
| ISBN 10 | 1738767515 |
| Author | Qiusheng Wu |
| Language | English |
| Book Description | Get started, quickly, with Google Earth Engine and the powerful geemap Python package. Apply geemap to interactively analyze and visualize big geospatial data in a Jupyter environment. |
| About the Author | 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. |
| Publication Date | 27 July 2023 |
| Number of Pages | 354 pages |
Earth Engine and Geemap: Geospatial Data Science with Python
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