Spatial Data Management with Google Earth Engine
トピックアウトライン
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Spatial data are key ingredients for spatial analysis. In many GIS projects, you will need to find the spatial data suitable for your project needs, and analyze them in an effective and efficient manner. In this course, you will learn how to retrieve, analyze, and manage spatial data using Google Earth Engine (GEE) and the geemap Python package. GEE is a free cloud computing platform with over 35 petabytes of satellite imagery and geospatial datasets. The geemap Python package enables users to analyze and visualize Earth Engine datasets interactively within a Jupyter-based environment. Upon completion of this course, you will be able to utilize the multi-petabyte Earth Engine Data Catalog for large-scale geospatial analysis. All you need is an Internet browser.
This course includes 19 videos with a total length of 9 hours. All Jupyter notebook examples for this course are available at https://tutorials.geemap.org.
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This is a 1.5-hour geemap workshop I presented at the GeoPython Conference 2021. This workshop gives a brief introduction to Google Earth Engine and some key features of the geemap Python package. The notebook example used in this workshop is available at https://geemap.org/workshops/GeoPython_2021