Advanced Google Earth Engine(GEE) For Spatial Data Analysis
Google Earth Engine For Geospatial Data Analysis and Machine Learning For Remote Sensing Data in the Cloud
4.45 (273 reviews)
1 412
students
6.5 hours
content
Oct 2023
last update
$59.99
regular price
What you will learn
Gain robust grounding in the basic and latest features of Google Earth Engine (GEE)
Learn how to work with in-built shapefiles and imagery data present within GEE
Learn to upload and analyse your own data in GEE
Gain proficiency in JavaScript for operating the GEE ecosystem
Carry out pre-processing and processing of satellite data in the GEE cloud
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Our Verdict
Advanced Google Earth Engine (GEE) for Spatial Data Analysis offers a thorough exploration of GEE and its applications in geospatial data analysis, remote sensing, and machine learning. However, be prepared to work independently on the code and supplement your understanding with external resources or alternative materials on mathematical foundations. Overall, it's a fantastic course for practitioners looking to learn cutting-edge computational tools and techniques for spatial data analysis while gaining hands-on experience with GEE in this ever-evolving field.
What We Liked
- The course offers a robust grounding in Google Earth Engine (GEE) with a focus on both basic and latest features.
- Instructor has thorough knowledge of integrating theoretical concepts with hands-on exercises for GEE.
- Covers essential topics such as pre-processing and processing of satellite data, useful for remote sensing applications.
- Contains valuable practical experience with Google Earth Engine for machine learning and change detection tasks.
Potential Drawbacks
- Some videos may require you to work on the code independently due to deprecated datasets.
- A few mathematical fundamentals used in image filtering aren't explained, which can be challenging for beginners.
- Course may lack continuity as some lessons might feel outdated or disconnected.
Related Topics
3597702
udemy ID
27/10/2020
course created date
06/01/2021
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