The Complete Google Earth Engine Python API & Colab Bootcamp

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

What you'll 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

Requirements
This course has no requirements.
Description
Welcome to the The Complete Google Earth Engine Python API and Colab 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 is taught by an experienced spatial data scientist and former NASA fellow.

The course has been updated to be 2023 ready and you'll be learning the latest tools available on the cloud.

The curriculum has just been developed and has the latsest 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, with 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 The Complete Google Earth Engine 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 script and data such that you will be able to accessing, downloading, visualizing big data, and extracting 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 script 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.

Who this course is for:
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