4.41 (37 reviews)
☑ Students will gain access to and a thorough knowledge of the Google Earth Engine platform
☑ Learn how to calculate spectral indices and work with Big data on cloud
☑ Learn image classification (land cover mapping) basics in Earth Engine Explorer
☑ Get introduction to Remote Sensing and satellite images
☑ Understand how to work with satellite images on the desktop computer and on the cloud
Start with Google Earth Engine & Spatial Analysis #Beginners
This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to perform geospatial analysis tasks with Big Data on the cloud! This course provides you with all the necessary knowledge to start with Remote Sensing and Geospatial analysis in Google Earth Engine.
Please, note: this is an introductory course with the main focus on Google Earth Engine. I do explain some basics of Remote Sensing, but it is not the main topic of this course.
Introduction and why Earth Engine?
Lab: Sign up for Google Earth Engine
Short Introduction on Remote Sensing
What is Remote Sensing?
Introduction to raster data (satellite images)
How to work with satellite Images?
Getting started with Code Editor and Java Script
Interface of Google Earth Engine: Code Editor & Explorer
Lab: Mapping and Reducing Collection - Landsat Example
Lab: Image Calculations - Create an image composite and calculate NDVI
Lab: How to map a function over an image collection
Getting started: your first task
First steps with the classification
Image classification: get started
Thank you for this amazing course. This course like all your courses is very helpful to the people who are new to Google Earth Engine and Image Analysis.