05-02, 14:00–14:25 (Asia/Jerusalem), PyData Track 2
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.
English
Target audience –Developers, Users, Data Scientists, R&D
Yaron Michael is a geospatial and Remote sensing expert, he deals with projects from public health(i.e environmental influences of pollution on infant health), to Precise agriculture(i.e satellite imaging to improve crop yield) as well as public transport. This year he will finish his Ph.D. on the subject of predicting forest fires with the integration of Numerical models. In addition, he is currently assisting an international project whose purpose is to find new tourist sites In Europe and Israel using machine learning.