Google Earth Engine Mega Course: Remote Sensing Applications

Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big data


What you'll learn
Students will access and sign up the Google Earth Engine platform
Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS
Apply GIS techniques to process and analyze various vector data
Generate various visualizations including time series and histogram charts from remote sensing data
Export various vector data including KML and CSV files
Export images, charts and videos
Learn to perform various image processing including mosaiccing, compositing, zonal statistics, and neighborhood analysis
Classification of satellite data with Machine learning
Master JavaScript programming language to process Earth observations data
Complete a final GIS project on downloading, processing, analyzing and visualizing big data

Requirements
This course has no requirements.

Description
Welcome to the
Google Earth Engine Mega Course: Remote Sensing Applications
, the only course you need to learn to code and become an Earth Engine expert. With a 4.5 average rating, this Earth Engine course is one of the
highest-rated
courses.
At 12+ hours, this Earth Engine course is without a doubt the
most comprehensive Google Earth Engine
course available online. Even if you have
zero
programming experience, this course will take you from
beginner to mastery
.
Here's why:
The course is taught by an experienced geospatial data scientist.
The course has been updated to be
2024-ready
and you'll be learning the latest tools available on the cloud.
The curriculum was developed over
five years
, with comprehensive student testing and feedback.
We've taught over 20,000 students how to code and apply spatial data science and cloud computing.
The course is
constantly updated
with new content, with new projects, and modules.
You will have access to example data and sample scripts.
In this course, we will cover the following topics:
Introduction to Earth Engine JavaScript API
Explore Earth Engine
Sign Up with Earth Engine
Basic JavaScript Data Types
Earth Engine Objects
Client versus Server Side Objects
Image Visualization
Filtering Image Collection
Feature Collection
Clipping Images
Import and Export Images
Cloud Masking
Calculate Spectral Indices
Reducers
Zonal Statistics
Machine Learning Classification
Drought Monitoring
Urban Mapping
Surface Water Mapping
Forest Monitoring
Air Pollution Monitoring
Earth Engine Web Apps
The course includes over
12+ hours
of HD video tutorials. We'll take you
step-by-step
through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Earth Engine expert.
So, what are you waiting for? Enroll now and start learning!
Who this course is for:
This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
People who want to understand various satellite image processing techniques.
Anyone who wants to learn spatial analysis on the cloud.
People who ware working with satellite remote sensing data such as Landsat, MODIS, Sentinel-2, and VIIRS.
Anyone who wants to apply for GIS or Remote Sensing Specialist job position.

More Info