Remote Sensing for Drought Monitoring

Do you want to apply satellite remote sensing in drought monitoring?

Do you want to acquire new hands-on Remote Sensing skills to analyze and process satellite data?

Enroll in my new course Remote Sensing for Drought Monitoring.

I will provide you with hands-on training with example data, sample scripts, and real-world drought monitoring applications.

By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in satellite remote sensing for drought monitoring application with Google Earth Engine, a cloud-based Earth observation data visualization analysis by powered by Google.

What makes me qualified to teach you?

I am Dr. Alemayehu Midekisa, I have over 10 years of experience in processing and analyzing real big 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 Remote Sensing for Drought Monitoring course, I will help you get up and running on the Google Earth Engine cloud platform to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new GIS and Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing big data using JavaScript programming language with GEE cloud platform. In this course, I will use real satellite data including Landsat, MODIS, SMAP, TRMM, GPM and others to provide you a hands-on practical experience of working with Earth observation data.

One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine JavaScript open source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze remote sensing data with GEE. All sample data and script will be provided to you as an added bonus throughout the course.

Jump in right now to enroll. To get started click the enroll button