3.9  8 reviews on Udemy

Remote Sensing for Public Health and Epidemiology

Learn remote sensing applications for public health and Epidemiology using big data, GIS and cloud computing
Course from Udemy
 38 students enrolled
Download, process and visualize various satellite data for public health application
Calculate water body areas using satellite data
Calculate various satellite derived climatic data including rainfall, temperature and moisture.
Map various forest fire using satellite data
Map air pollution using satellite data
Map satellite derived population estimates
Visualize and analyze various satellite data including, MODIS, Sentinel and Landsat

Do you want to apply satellite remote sensing in public health?

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 Public Health.

I will provide you with hands-on training with example data, sample scripts, and real-world public health 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 public health 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, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus 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.

In this Remote Sensing for Water Resources 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.

Remote Sensing for Public Health and Epidemiology
$ 94.99
per course
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