Spatial eLearning
Do you want to learn how to access, process and analyze remote sensing data using open source cloud–based platforms?
Do you want to master machine learning algorithms to predict Earth Observation big data?
Do you want to start a spatial data scientist career in the geospatial industry?
Enroll in my new course to master Machine Learning with Remote Sensing in Google Earth Engine.
I will provide you with hands–on training with example data, sample scripts, and real–world applications.
By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in applying machine learning algorithms to predict satellite data using an open source big data analytics tool, Earth Engine API, 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 Machine Learning with Earth Engine API course, I will help you get up and running on the Google Earth Engine cloud platform. Then you will apply various machine learning algorithms including linear regression, clustering, CART, and random forests. We will use Landsat satellite data to predict land use land cover classification. All sample data and script will be provided to you as an added bonus throughout the course.
Instructor Details
Courses : 2
Specification: Machine Learning with Remote Sensing in Google Earth Engine
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12 reviews for Machine Learning with Remote Sensing in Google Earth Engine
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 1.5 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Getachew Mehabie –
Enjoying!
Fabrice Brito –
GEE based. helpless without it
stephen Dankwa –
good course
panteha Pishehvar –
It led me understood the arrangement of the earthengine.com
Fesowola Akintoye –
Great
Dr. Bindi Satyam Dave –
A good course to get going and use GEE , for analysis using earth observation data.
Javier Osorno –
The course is well structured. The examples provide a useful guide to further study the subjects covered.
Ivan Ortiz –
I found it very Fast… I would have liked to understand better the predictors of the classifiers and to have applied the algorithms beyond simply changing a value in the script. It also does not explain what are the advantages/disadvantages of each of the classifiers.
Amna Sajjad –
very informative. would recommend both researchers and professionals in order to understand Earth Engine.
Bruno Matoso –
Until now it’s a good match
Udit Asopa –
I enjoyed this course, this course is very interesting who have the interest to work on the code platform for learning the satellite data handling and perform the study of optical remote sensing for classification.
Elisha Njomaba –
Great