Spatial Data Analysis in Google Earth Engine Python & Colab

Learn big spatial data, machine learning, GIS and remote sensing with Earth Engine Python API and Google Colab

3.45 (42 reviews)
Udemy
platform
English
language
Science
category
403
students
4 hours
content
Mar 2024
last update
$54.99
regular price

What you will learn

Students will access and sign up the Google Earth Engine Python API

Access and visualize satellite data in Earth Engine Python API

Export geospatial data including raster and vector data formats

Access images and image collections from the Earth Engine API

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

Description

Do you want to access satellite sensors using Earth Engine Python API and Google Colab?

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

Do you want to become a geospatial data scientist?


Enroll in my new course Spatial Data Analysis in Google Earth Engine Python & Colab.


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 and Google Colab.


In this Spatial Data Analysis with Earth Engine Python API and Colab 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.


In this course, we will cover the following topics:

  • Introduction to Earth Engine Python API and Colab

  • Set Up a Google Colab Environment

  • Raster Data Visualization

  • Vector Data Visualization

  • Load Landsat Satellite Data

  • Cloud Masking Algorithm

  • Calculate NDVI

  • Export images and videos

  • Process image collections

  • Machine Learning Algorithms

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.


Jump in right now and enroll.

Content

Introduction to Python API with Colab

Welcome to the Course
Data and Code
What is Google Colab?
Get Started with Earth Engine API
Load DEM Data with EE Python API
Load Landsat Data with EE Python API

Raster Data Visualization

Landsat Visualization
MODIS Land Visualization
NLCD Land Cover Visualization
NDVI Visualization

Bonus Lecture

Bonus Lecture

Screenshots

Spatial Data Analysis in Google Earth Engine Python & Colab - Screenshot_01Spatial Data Analysis in Google Earth Engine Python & Colab - Screenshot_02Spatial Data Analysis in Google Earth Engine Python & Colab - Screenshot_03Spatial Data Analysis in Google Earth Engine Python & Colab - Screenshot_04

Reviews

Jose
January 1, 2023
So far it's all about watching the instructor write some code with no explanation of the parameters or the function that he is using.
Alfredo
December 11, 2022
The course is easy to follow and gives you a quick start for spatial data analysis using Google Earth Engine and Colab.
Manuel
September 16, 2022
Yes, definitely They are courses that help to continue acquiring knowledge in a short time, and to be able to develop better in the labor field.
Pramod
December 2, 2021
Need to know a few basics before, but if that is known, really good explanations and examples provided.
Sixing
May 29, 2021
The course touches a very important subject. Kudo to the lecturer. But instead of coding live in the lecture, wouldn't it be better that the lecturer pre-codes the script and explains all the functions in some more examples? The course could have been two hours shorter if the lecturer would not have coded and commented live and done BUG FIXING in front of the camera.

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4002948
udemy ID
4/24/2021
course created date
5/6/2021
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