Geospatial Data Analysis using Google Cloud Platform
GIS instructor, Central European University
Wednesday, November 18, 2020, 9:00 am
Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface. The GEE Explorer is a simple code-free web interface to the Earth Engine API. It lets you quickly search, visualize, and analyze petabytes of geospatial data using Google's cloud infrastructure.
This webinar will introduce the main features of Google Earth Engine, following by a demonstration of various functions of the Explorer.
This online event is open to participants of the University-wide Course "Introduction to Geospatial Data Visualization", students of the Department of Environmental Sciences and Policy other members of CEU community interested in geospatial technologies and remote sensing.
If interested, please RSVP to firstname.lastname@example.org.
Elizaveta Khazieva has over 10 years of experience in remote sensing and GIS technologies application in a variety of sectors such as oil and gas industry, government and private organizations. She was the head of GIS and data analytic unit at the Department of Informational Technologies of the Moscow City Government and worked as a project manager at the Russian Federal Cartography Agency, where she was solely responsible for development and implementation of the Agency’s Geographic Information System for spatial data management and business workflow. Elizaveta has graduated from Central European University in 2016. Before joining CEU she worked at Hexagon Geospatial, a leading global provider of information technologies, focusing on remote sensing data analysis for land cover changes and agricultural monitoring. Her research interests are focused on remote sensing and GIS technologies application for a wide range of environmental issues such as land cover changes and agricultural monitoring.