Google Earth Engine Training For Earth Observation (EO) Applications
Become an Expert on GEE. Extend your GIS and EO processing to a planetary level!
You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis and GIS ?
The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud based endeavor by Google that can help process several petra-byte of imagery data
MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; powered by Google's cloud infrastructure. !
My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported paltform . By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.
Why Should You Take My Course?
I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real life spatial remote sensing data from different sourcesand producing publications for international peer reviewed journals.
In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote sensing can help us answer.
This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.
The course contains 3.5 hours of step-by-step videos lessons that will guide you through the process of becoming an expert in Google Earth Engine!
Introduction to GEE
Sign Up to GEE
Exploring Google Earth Engine
Explore Datasets of Google Earth Engine
Satellite Datasets of GEE - The Catalog and the Code Editor
Import Image Collections
Display Images, a Landsat example
Feature Collection and Vector Data
Reading feature data from external sources
Reading Shape Files
Visualise Multi-band data
Visualise Vector Data with Raster data
Visualise Digital Elevation Models (DEM)
Clip Image on an vector
Raster Values Categorisation
Filter feature data
Filter raster data
Filter Landsat images based on path and row
Apply spatial filters to raster images
Socio-economic spatial analysis
Slope and Aspect generation from DEMs
Compute Zonal Statistics
Interactively define a Region Of Interest
Detect Edges using the Canny Filter
Resampling of Raster data
Change the spatial resolution of raster data
Raster Arithmetics or Bands Math
Vector to Raster conversion
Export to CSV
Night Light Application
Linear Fit Image Reduction
Spectral Signature Visualisation over space and time
Extract and visualise time series
Downloadable Scripts to using in GEE
Satellite data processing using Google Earth Engine
Pre-processing methods for raster data and images
Pre-processing methods for vector data
Implement GIS techniques in Google Earth Engine
Account in the Google Earth Engine (instructions are given inside the course)
Basic knowledge GIS and Remote Sensing operations
Access our ENTIRE content with a yearly subscription only 8$/month
Under/post graduate students
Professionals and Companies
Master students and PhD candidates
Researchers and Academics
After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc
We know hard it is to acquire new skills. All our courses are self paced.
Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE
Data Science and Spatial Data Analysis Expertminerva.firstname.lastname@example.org
Click below to sign up!