Introduction to Google Earth Engine
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 863 MB | Duration: 1 hours
What you'll learn
Sign up Google Earth Engine
Write JavaScript to analyze spatial data
Access global scale geospatial data on Google cloud platform
Visualize and analyze satellite data
Apply GIS techniques to process and analyze various vector data.
Master JavaScript programming language to process Earth observations data.
Requirements
No programming experience needed.
Students should be comfortable with using computers.
Students should sign up for Google Earth Engine API.
Description
Do you want to learn how to access and analyze geospatial data on the cloud?
Are you interested in writing JavaScript programming to process satellite data?
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.
By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in satellite remote sensing and geospatial analysis with Google Earth Engine JavaScript API, a cloud-based Earth observation data visualization analysis by powered by Google.
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, Descriptionting histograms and time series charts.
I have designed the course to teach you JavaScript from scratch and no prior programming experience is necessary. I will also provide you with practical exercises so that you will get hands-on experience.
One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript API open source cloud platform. Additionally, I will walk you through a step by step video tutorials to process and analyze Earth observation and geospatial data with GEE. All sample data and script will be provided to you as an added bonus throughout the course.
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.
This course is meant for those looking for hands-on exp
Screenshots
Kod:
rapidgator_net:
https://rapidgator.net/file/6b834f9d7dd29b3b36dae2e53e207fa6/t871i.Introduction.to.Google.Earth.Engine.rar.html
nitroflare_com:
https://nitroflare.com/view/3EA74977D970024/t871i.Introduction.to.Google.Earth.Engine.rar
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