Master the fundamentals of remote sensing and GIS with hands-on training on Google Earth Engine. Learn to analyze and visualize satellite data effectively.
This course teaches you the fundamentals of remote sensing and GIS using Google Earth Engine. You'll get hands-on experience with satellite data, learn key image processing skills, and apply these skills to real-world problems in the geospatial industry.
Learn the basics of image processing, geospatial data analysis, GIS and cloud computing with Google Earth Engine
Do you want to learn the fundamentals of remote sensing?
Do you want to learn how to access, process, and analyze remote sensing and GIS data using free open-source tools?
Do you want to solve a real-world problem using freely available satellite data?
Do you want to acquire new hands-on Remote Sensing skills that will prepare you for a remote sensing and GIS job in the geospatial industry?
Enroll in this Fundamentals of Remote Sensing with Google Earth Engine course.
I will provide you with hands-on training with examples of GIS and Remote Sensing data, sample scripts, and real-world applications.
By taking this course, you will take your satellite remote sensing skills to the next level by gaining proficiency in satellite remote sensing and geospatial analysis with GEE, a cloud-based Earth observation, and GIS data visualization analysis powered by Google.
In this Fundamentals of Remote Sensing and Image Analysis course, I will help you get up and running on the Google Earth Engine JavaScript API platform form to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing GIS and Earth Observation big data.
The course covers various topics including introduction to remote sensing, types of resolutions, remote sensing data sources, digital image processing, and image classification.
In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you with a hands-on practical experience of working with freely available remotely sensed data. I will walk you through using a step by step video tutorials to process and analyze remote sensing data using a cloud platform. In addition to learning the basic concepts, theories, and terminologies, you will also learn the steps for image processing including mosaicking, resampling, reprojections, compositing, spectral unmixing, spectral transformation, and classification using real-world satellite data and example scripts. All sample data and scripts 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.
At the end of this course, students will be able to master concepts in remote sensing
Learn the basics of remote sensing principles
Master the image processing skills: mosaicking, compositing, resampling, reprojection, spectral unmixing, and classification
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Dr. Alemayehu Midekisa is a geospatial data scientist with over 15 years of professional experience in academia and industry. His research focus is on leveraging geospatial AI, big Earth observation data, and cloud computing to monitor environmental changes. Dr. Midekisa is particularly interested in applying machine learning models, large-scale remote sensing data, and cloud computing such as Google Earth Engine...
Very monotonous. It takes every bit of strength I have to stay awake, and this is a subject that I’m highly interested in. Perhaps one should revise the course and add some ways of teaching that are not so hard to stay awake and pay attention to..? I don’t mean any of that in a rude way, just my honest opinion and advice.
Getting such a indepth course with such a brief explanation is only possible in this couse.Get job dear sir ,your hard work is really a boon for us.This course helped me improve my learning on remote sensing.
Not fluent in Englis
Scripts are not attached with example..and very few examples are given.
The course is nice but I would have preferred the teacher to guide students step by step in doing some example exercises and not only show the potentialities of the software
its very good
Bad pronunciation and fluency.
some lectures need to be updated. The instructor says he will do but doesn't like adding lab or subtitles possibility. the lectures need to be detailed or instructor y like - please go download the code and add it to the script area. I have to guess.
It's very informative and helps me with the enhancement of my skills in the Google Earth Engine. Dear Sir please share fusion tables link of those countries those are used in practical exercises. Looking forward to your precious response. Thanks a lot for giving me this opportunity or helping me for grooming of my skills
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Bruno G. M.
It's a good course for those who are new to GEE (like me), but I think it could go up to the intermediate level at least. However, the course gives a good initial overview and awakens curiosity about the tool, so I recommend it for beginners.