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Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook?
Do you want to learn the spatial data science on the cloud?
Do you want to become a spatial data scientist?
Enroll in my new course to Spatial Data Analysis in Google Earth Engine Python API.
I will provide you with hands–on training with example data, sample scripts, and real–world applications. By taking this course, you be able to install Anaconda and Jupyter Notebook. Then, you will have access to satellite data using the Earth Engine Python API.
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. 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 Spatial Data Analysis with Earth Engine Python API course, I will help you get up and running on the Earth Engine Python API and Jupyter Notebook. By the end of this course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information.
Specification: Spatial Data Analysis in Google Earth Engine Python API
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13 reviews for Spatial Data Analysis in Google Earth Engine Python API
Add a review
| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 2.5 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$9.99
Ronald Mendoza –
Was awesome, we can see new topics about remote sensing using Python, it s great for the remote sensing community. With this course I learned new experience, because in my country few people are using Python for remote sensing on the GEE platform, this will allow me to be one step forward from them, in fact, I will use for my thesis and for my job.
Said Figueroa –
Without a doubt one of the best courses on this subject, very well explained!
Kurt Birson –
Very good! The videos can be a bit repetitive at times but cover some very useful techniques.
Albert Hans Argote –
Un poco corto, pero muy interesante
Diego Adleson –
It would be nice if you talked a bit more about theory
Leila Mirz –
The course was repetitive throughout the sessions, mainly repeating the easiest parts of starting the environment and packages.. I would say the second half of the lecture was more informative and helpful.
Ferdian Budi Ar rouf –
good
Tatag Budi Wibowo –
This course is very useful for me who is an academic in the field of spatial analysis. thank you for providing very useful material
Tomy Ardyansyah –
the coding is new for me. it was amazing to learn that.
Abd Hafidz –
Thank you! the material are arranged very well. easy to understand.
Eduardo Felix Justiniano –
um curso introdut rio. Por m, faz uma boa apresenta o da utiliza o do Jupyter para processar imagens, utilizando o Google Earth Engine.
C drick Armel Yao YEBOUET –
Pour un prix initial de plus de 100 EUR la formation n’est pas assez consistante. On a fait que afficher des cartes dans ce cours. L’auteur devrait faire voluer le cours vers l’analyse proprement dit des donn es satellitaires.
Sabbaha Munandar –
Thank you so much, this course was quite help me to understanding spatial data analysis and programming language. I am so interested with them of both