Google Earth Engine Python API for Absolute Beginners
3.0
Youtube10,243 learners
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Learn how to install the Earth Engine Python API and load Landsat satellite data using a Jupyter Notebook with this tutorial for absolute beginners. Get started with the Earth Engine Python API and explore the geemap library. Subscribe to SpatialeLearning for more tutorials and watch the YouTube playlists for Google Earth Engine JavaScript API, Python for Spatial Data Analysis, and more. Follow the course on social media for updates.
Complete Google Earth Engine for Remote Sensing & GIS
4.3
Udemy5,129 learners
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This course provides a comprehensive introduction to remote sensing and GIS analysis using Google Earth Engine (GEE). Learn to process petabytes of satellite imagery data and carry out practical, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported platform. Taught by an Oxford and Cambridge graduate with years of experience in analyzing remote sensing data, this course will help you become an expert in geospatial analysis. Get the skills you need to stand out in the job market and save thousands of dollars on expensive software. Enroll now and take an important step forward in your GIS journey.
The Google Earth Engine Mega Course: Remote Sensing & GIS
4.1
Udemy2,352 learners
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This Google Earth Engine Mega Course: Remote Sensing & GIS is the only course you need to learn to code and become an Earth Engine expert. With a 4.8 average rating, it is one of the highest-rated courses. Over 12 hours of HD video tutorials, this comprehensive course will take you from beginner to mastery, even if you have zero programming experience. Taught by an experienced spatial data scientist and former NASA fellow, the course is updated to be 2023-ready and covers topics such as Landsat Image Visualization, Image Collection Metadata, Mapping Feature Collections, Raster to Vector Conversion, and more. Join the highest-rated Google Earth Engine course and become an Earth Engine expert today!
Google Earth Engine for Machine Learning & Change Detection
4.1
Udemy3,416 learners
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This course is designed to take users who use GIS for basic geospatial data/GIS/Remote Sensing analysis to the next level. Learn how to use Google Earth Engine for land use and land cover (LULC) mapping and change detection. With this course, you will gain the practical knowledge of unsupervised and supervised classification strategies for LULC mapping, and be able to apply advanced Geospatial analysis and Machine Learning algorithms. You will also learn how to acquire satellite data, assess the accuracy of your map, and design a beautiful change map. This course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use LULC maps in their field. With the practical exercises, you will gain the confidence to understand and solve geospatial problems. Don't miss out on this opportunity to improve your GIS and Remote Sensing skills and knowledge of the cutting edge LULC techniques.
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