Learn geospatial and remote sensing data analysis with cloud computing
Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect land surface changes, identify temporal trends, and quantify environmental changes such as urbanization, climate change, land cover change, flooding, drought monitoring, and many more. This course covers a comprehensive list of topics ranging from the basics of Google Earth Engine to intermediate digital image processing to advanced remote sensing applications on Google’s cloud infrastructure. By the end of this course, you will be able to master the Earth Engine cloud computing platform and understand remote sensing techniques to implement in your remote sensing projects.
What you’ll learn
- Learn the basics of remote sensing principles.
- Scale your analysis to large regions and over long periods of time.
- Get familiarized with various satellite sensors and remotely sensed products.
- Master the digital image processing methods.
- Carry out time-series analysis and change detection with earth observation data.
- Use machine learning techniques with remote sensing datasets.
- Build interactive apps for data exploration.
Course Content
- Introduction –> 3 lectures • 19min.
- Set Up Environment –> 1 lecture • 2min.
- Get Started with Earth Engine –> 4 lectures • 1hr 10min.
- Basic Image Processing –> 3 lectures • 39min.
- Humanitarian Applications –> 1 lecture • 13min.
- Land Cover Classification and Machine Learning –> 1 lecture • 31min.
- Climate Data Summary –> 3 lectures • 46min.
- Earth Engine Apps –> 5 lectures • 1hr 54min.
- Bonus –> 1 lecture • 1min.
Requirements
Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect land surface changes, identify temporal trends, and quantify environmental changes such as urbanization, climate change, land cover change, flooding, drought monitoring, and many more. This course covers a comprehensive list of topics ranging from the basics of Google Earth Engine to intermediate digital image processing to advanced remote sensing applications on Google’s cloud infrastructure. By the end of this course, you will be able to master the Earth Engine cloud computing platform and understand remote sensing techniques to implement in your remote sensing projects.
You will have access to real-world data, scripts, and hands-on exercises to help manage and process large-scale remote sensing data on the cloud. By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in Earth Engine powered by Google.
In this course, I will help you get up and running on the Google Earth Engine JavaScript API platform 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, machine learning and remote sensing applications, and geospatial web applications. If you have no prior programming skills, do not worry. I will help you get on track by guiding you step by step to master the Earth Engine.
If you want to improve your spatial data science skills and be ready for your next geospatial tech job, take action now by taking this course.
Let’s get started!