Complete Google Earth Engine with Python API Bootcamp

Complete Google Earth Engine with Python API Bootcamp, available at $74.99, has an average rating of 4.05, with 45 lectures, 2 quizzes, based on 60 reviews, and has 426 subscribers.

You will learn about 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 This course is ideal for individuals who are This course is meant for professionals who want to manipulate big spatial data on the cloud using Earth Engine and Google Colab or Anyone who wants to learn accessing and extracting information from satellite data or Anyone who wants to learn accessing and extracting information from satellite data It is particularly useful for This course is meant for professionals who want to manipulate big spatial data on the cloud using Earth Engine and Google Colab or Anyone who wants to learn accessing and extracting information from satellite data or Anyone who wants to learn accessing and extracting information from satellite data.

Enroll now: Complete Google Earth Engine with Python API Bootcamp

Summary

Title: Complete Google Earth Engine with Python API Bootcamp

Price: $74.99

Average Rating: 4.05

Number of Lectures: 45

Number of Quizzes: 2

Number of Published Lectures: 45

Number of Published Quizzes: 2

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $149.99

Quality Status: approved

Status: Live

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

Who Should Attend

This course is meant for professionals who want to manipulate big spatial data on the cloud using Earth Engine and Google Colab

Anyone who wants to learn accessing and extracting information from satellite data

Anyone who wants to learn accessing and extracting information from satellite data

Target Audiences

This course is meant for professionals who want to manipulate big spatial data on the cloud using Earth Engine and Google Colab

Anyone who wants to learn accessing and extracting information from satellite data

Anyone who wants to learn accessing and extracting information from satellite data

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-readyand 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 Bootcampcourse, 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.

Course Curriculum

Chapter 1: Introduction to Earth Engine Python API and Colab

Lecture 1: Welcome

Lecture 2: What is Colab?

Lecture 3: Get Started with Earth Engine

Lecture 4: Sign Up for Earth Engine Account

Lecture 5: Data and Code

Lecture 6: Load DEM Data

Lecture 7: Load Landsat

Chapter 2: Download Geospatial Data

Lecture 1: Download NDVI Image Collection

Lecture 2: Export Landsat Images

Chapter 3: Satellite Spectral Indices

Lecture 1: NDVI

Lecture 2: EVI

Lecture 3: Spectral Unmixing

Chapter 4: Mapping Raster Data

Lecture 1: Landsat Visualization

Lecture 2: NDVI Visualization

Lecture 3: NLCD Land Cover Visualization

Lecture 4: MODIS Land Cover Visualization

Chapter 5: Mapping Vector Data

Lecture 1: USA States

Lecture 2: USA Counties

Lecture 3: International Bondaries

Chapter 6: Working with Images

Lecture 1: Clipping

Lecture 2: Image Metadata

Lecture 3: Band Math

Lecture 4: Calculate MODIS NDVI

Chapter 7: Working with Image Collections

Lecture 1: Clip Image Collection

Lecture 2: Landsat Simple Composite

Lecture 3: Filtering Calendar Day of Year

Chapter 8: Satellite Image Proccesing

Lecture 1: Compositing

Lecture 2: Mosaicing

Lecture 3: Convolutions

Lecture 4: Edge Detection

Lecture 5: Resampling

Chapter 9: Satellite Image Classification and Machine Learning

Lecture 1: Clustering Egypt

Lecture 2: Clustering Swaziland

Lecture 3: Supervised Classification (CART) – Landsat

Lecture 4: Supervised Classification (CART) Landsat with Training Data

Lecture 5: Supervised Classification (RF) – Landsat with Training Data

Lecture 6: Supervised Classification (RF) – Landsat with ESRI Land Cover

Lecture 7: Supervised Classification – Support Vector Machine (SVM)

Chapter 10: Forest Monitoring

Lecture 1: Global Forest Non Forest Map

Lecture 2: Global Forest Cover

Lecture 3: National Forest Cover

Lecture 4: Forest Gain and Loss

Lecture 5: MODIS Burned Area

Chapter 11: Water Resources

Lecture 1: Global Surface Water Map

Chapter 12: Bonus

Lecture 1: Bonus Lecture

Instructors

Dr. Alemayehu Midekisa
Geospatial Data Scientist

Rating Distribution

1 stars: 4 votes

2 stars: 0 votes

3 stars: 14 votes

4 stars: 21 votes

5 stars: 21 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!