Remote Sensing Basics in Python and Colab

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 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 of the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy.

In this Fundamentals of Remote Sensing Basics in Python and Colab 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 an introduction to digital image processing, earth engine Python API overview, collab, 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 help you get on track by guiding you step by step to master the Python AP and Colab. All sample data and scripts 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.

Let's get started!