Fundamentals of Remote Sensing with Google Earth Engine

Description

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.

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