Remote Sensing Basics in Python and Colab

Become proficient to analyze remote sensing data on the earth engine cloud computing platform

3.90 (12 reviews)
1.5 hours
Jul 2022
last update
regular price

What you will learn

Learn the basics of remote sensing principles

Master the image processing skills: mosaicking, compositing, resampling, reprojection, spectral unmixing, and classification

Access and download freely available Earth observation satellite data using cloud platform

Get familiarized with various satellite sensors and remotely sensed products

Get started with Python and Colab using the Google cloud computing


Do you want to learn the basics of remote sensing using the Earth Engine Python API?

Do you want to write your first Python code to analyze satellite data?

Enroll in this Remote Sensing Basics in Python course.

I will provide you with hands-on Python scripts, data and tips and tricks to successfully write your code to manage big data on the cloud.

By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in Python, Earth Engine, and Colab powered by by Google.


What makes me qualified to teach you?

I have over 10 years of experience in processing and analyzing real GIS and Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products. I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy.

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 digital image processing, earth engine Python API overview, colab and various digital image processing analysis. 

In this course, I will use real satellite data to help you up and running on the colab and Python environment easily. If you have no prior programming skills, do not worry. I will hep you get on track by guiding you step by step to master the Python AP and Colab. All sample data and script will be provided to you as an added bonus throughout the course.

If you want to improve your spatial data science skills and be ready for your next geospatial job, take action now by taking this course.

Lets get started!


Remote Sensing Basics in Python and Colab - Screenshot_01Remote Sensing Basics in Python and Colab - Screenshot_02Remote Sensing Basics in Python and Colab - Screenshot_03Remote Sensing Basics in Python and Colab - Screenshot_04


Get Started with Earth Engine

Get Started with Earth Engine
Sign Up with Earth Engine

Get Started with Earth Engine Python API and Colab

Get Started with Google Colab
Get Started with EE Python API

Satellite Image Processing

Edge Detection

Satellite Spectral Indices

Spectral Unmixing

Export Images

Export Images

Bonus Lecture

Bonus Lecture


May 6, 2022
All the examples were worked out nicely, and everything was fairly clear. However, there wasn't much background information given on the functions or the certain methods that are used in the lecture topics. I think this information would help give these lecture more depth.
May 18, 2021
A good introduction course to know what the Earth Engine Python API can do. Could be improved in many ways but decent enough considering it's free.



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11/15/202181% OFF
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