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Yaron Michl: mapping and analysis of geospatial big data using geemap and Google Earth Engine

time2 yr agoview0 views

Session language – English Target audience – Developers, Users, Data Scientists, R&D

Google Earth Engine (GEE) is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. It enables to analysis and visualizes changes on the Earth’s surface using python API,

Google Earth Engine (GEE) is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets With the new geemap Python package GEE users can easily manipulate, analyze, and visualize geospatial big data interactively in a Jupyter-based environment.

The topics will be covered in this lecture include: (1) Brief introduction satellite imagery, (2)introducing the Earth Engine Python API and the new geemap Python package. (2) searching GEE data catalog . (3) displaying GEE datasets. (4) classifying images using machine learning algorithms. (5) Finding the greenest place in Israel in terms amount of vegetation.

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