【評判】Google Earth Engine Mega Course: Remote Sensing Applications

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

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!