Google Earth Engine for Remote Sensing & GIS: 3 courses in 1
Get introduced and Become Expert in Geospatial analysis & Remote Sensing for spatial analysis in Google Earth Engine
Ratings 4.71 / 5.00
What You Will Learn!
- Students will gain access to and a thorough knowledge of the Google Earth Engine platform
- Get introduced and advance JavaScript skills on Google Earth Engine platform
- Learn how to obtain satellite data, apply image preprocessing for Landsat and Sentinel data in in Google Earth Engine
- Learn how import and export spatial data (vector and rsater) from / into the platform
- Run analyisis for geospatial applications on the cloud
- You'll have a copy of the codes used in the course for your reference
- Learn how to calculate spectral indices, create maximim composites and work with Big data on cloud
- Apply geospatial analysis for real practical example: flood mapping with Sentinel 2 images
- Learn image classification (land cover mapping) basics in Earth Engine
Description
Google Earth Engine for Remote Sensing: from Zero to Hero
Are you ready to master the world of geospatial analysis and Remote Sensing with Google Earth Engine? Look no further! This comprehensive course is your ticket from being a beginner to becoming a true hero in geospatial analysis.
Course Highlights:
Our course has it all - more than 5 hours of video content, hands-on practical analysis, and downloadable materials. It's designed to take you on a journey, starting with the basics and leading you to perform real-life spatial geospatial analysis with Big Data on the cloud.
Course Focus:
We emphasize not only the practical aspects but also the theoretical knowledge needed for applied geospatial analysis, including Remote Sensing and Geographic Information Systems (GIS). You'll gain a deep understanding of the Google Earth Engine platform and JavaScript, which are crucial for implementing spatial analysis in the cloud.
What You'll Learn:
A comprehensive introduction to the Earth Engine Platform
The fundamentals of image analysis, a must-know for working with Earth Engine
JavaScript basics for spatial analysis, covering essential blocks to kickstart your cloud-based analysis
Importing/exporting data to Earth Engine
Performing arithmetical image calculations
Mapping functions over image collections and conducting iterations
Sentinel and Landsat image pre-processing and analysis for real-world applications like drought monitoring, flood mapping, and land cover classification using machine learning algorithms such as Random Forest
An introduction to time series trend analysis in Google Earth Engine
Prepare for Practical Exercises:
Throughout the course, practical exercises play a vital role. You'll receive precise instructions, code samples, and datasets to immerse yourself in geospatial analysis using Google Earth Engine.
Course Inclusions:
Enroll in this course, and you'll gain access to all the data used throughout the course, along with Java code files. Plus, you'll be entitled to future resources to support your geospatial endeavors.
Join Us Today:
Whether you're starting from scratch or seeking to advance your geospatial analysis skills, this course is your pathway to success. Enroll now and embark on your journey from novice to expert in geospatial analysis with Google Earth Engine!
Who Should Attend!
- Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field
Tags
- Spatial Analysis
- Remote Sensing
- Google Earth Engine
Subscribers
1033
Lectures
42
TAKE THIS COURSE
