Complete Google Earth Engine with Python API Bootcamp

Learn geospatial data science, remote sensing and cloud computing using the google earth engine python api and colab

3.80 (49 reviews)
Udemy
platform
English
language
Data Science
category
Complete Google Earth Engine with Python API Bootcamp
368
students
7.5 hours
content
Apr 2024
last update
$74.99
regular price

What you will learn

Learn to code Python on the Google Earth Engine Cloud API

Access and visualize satellite data in Earth Engine Python API

Access images and image collections from the Earth Engine API

Apply various machine learning algorithms on the Earth Engine Python API and Colab

Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS

Apply dpatial analysis techniques to process and analyze various vector data

Learn to perform various image processing including mosaiccing, compositing, zonal statistics, and neighborhood analysis

Export images, charts and videos

Master Python programming language to process Earth observations data

Apply remote sensing data for forest application

Apply remote sensing data for drought monitoring

Apply remote sensing data for crop monitoring

Apply remote sensing data for flood mapping

Why take this course?

Welcome to Complete Google Earth Engine with Python API Bootcamp, the only course you need to learn to code Python and become an Earth Engine cloud computing expert.


Do you want to learn Python and spatial data science on the cloud?

Do you want to become a geospatial data scientist?


At 7+ hours, this course is the most comprehensive Google Earth Engine Python API course available online.  Even if you have zero Python programming experience, this course will take you from beginner to mastery.


Here's why:

  • The course has been updated to be 2024-ready and you'll be learning the latest tools available on the cloud.

  • The curriculum has just been developed and has the latest technology on the Earth Engine Python API cloud computing

  • We've taught over 20,000 students how to code and apply spatial data science and cloud computing.

  • The course is constantly updated with new content, new projects, and modules.

  • You will have access to example data and sample scripts.


In this course, we will cover the following topics:

  • Introduction to Python Api and Google Colab

  • Explore Earth Engine

  • Sign Up with Earth Engine

  • Download Earth Engine Datasets

  • Creating Charts in Matplotlib

  • Satellite Spectral Indices (NDVI, EVI)

  • Mapping Raster Datasets

  • Mapping Vector Datasets

  • Working with Images and Image Collections

  • Digital Image Processing (mosaicing, resampling, convolutions)

  • Machine Learning

  • Forest Monitoring

  • Surface Water Mapping

  • Humanitarian Applications

  • Drought Monitoring

  • Flood Mapping

  • Crop Monitoring


In this Complete Google Earth Engine with Python Bootcamp course, I will help you get up and running on the Earth Engine Python API and Google Colab. By the end of this course, you will have access to all example scripts and data such that you will be able to access, download, visualize big data, and extract information.


One of the common problems with learning image processing is the high cost of software. In this course, I entirely use open-source software including the Google Earth Engine Python API and Colab. All sample data and scripts will be provided to you as an added bonus throughout the course.


We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Earth Engine expert.


So, what are you waiting for? Click the buy now button and join.

Screenshots

Complete Google Earth Engine with Python API Bootcamp - Screenshot_01Complete Google Earth Engine with Python API Bootcamp - Screenshot_02Complete Google Earth Engine with Python API Bootcamp - Screenshot_03Complete Google Earth Engine with Python API Bootcamp - Screenshot_04

Reviews

Dario
October 14, 2023
The course could be better if in some lectures the code was written in real time and not just shown and commented; the lectures on satellite image processing and machine learning need theoretical introductions to the logic of algorithms (e.g. what is and how a convolution works, what are CART and Random Forest algorithms and how they work).
Óscar
July 6, 2023
Many things are left unexplained. Several videos consist only of watching the instructor type his code without any valuable explanation.
Martin
June 21, 2023
I paid for a course to understand more about code in gee and i found a guy typing code with minimum explanation. at least a bibliografy is better to know more about the function you use and why. It inst a cheap course for me, and this is disapointing
Wee
April 10, 2023
could explain a bit more about what the data means like what the bands mean, and more on what the code does, and less on typing
Rio
February 21, 2023
im happy for learning the google earth engine code, the videos it's so amazing easy to understand, and thank you for share the knowledge. :)

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5006108
udemy ID
12/2/2022
course created date
1/29/2023
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