Introduction to Google Earth Engine
Salepage : Introduction to Google Earth Engine
Arichive : Introduction to Google Earth Engine
mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 863 MB
Genre: eLearning Video | Duration: 12 lectures (1 hour, 13 mins) | Language: English
Learn to access and analyze Remote Sensing and GIS data with open source cloud computing platform
What you’ll learn
Sign up Google Earth Engine
Access global scale geospatial data on Google cloud platform
Visualize and analyze satellite data
Apply GIS techniques to process and analyze various vector data.
No programming experience needed.
Students should be comfortable with using computers.
Students should sign up for Google Earth Engine API.
Do you want to learn how to access and analyze geospatial data on the cloud?
Do you want to get the next cool GIS technology job which requires new cloud based analytic skills?
Enroll in my new course to master geospatial analysis with Google Earth Engine cloud computing.
I will provide you with hands-on training with example data, sample scripts, and real-world applications.
What makes me qualified to teach you?
I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products.
In this Introduction to Google Earth Engine course, I will help you get up and running on the Google Earth Engine cloud platform to process and analyze geospatial data In the course, we will introduce you to the Google Earth Engine cloud computing platform. Then we will cover a range of topics on Earth Engine including image visualization, image metadata, mathematical operations, filtering image collections, geometric operations, filtering feature collection, plotting histograms and time series charts.
Jump in right now to enroll. To get started click the enroll button.
Who this course is for:
This course is for students who want to learn geospatial analysis using cloud computing.
This course is for students want to access, visualize and analyze geographic data on the cloud.