Spatial Data Analysis in Google Earth Engine Python API
Learn machine learning, big data analysis, GIS, remote sensing with Earth Engine Python API and Jupyter Notebook
What you will learn
Students will access and sign up the Google Earth Engine Python API platform
Access satellite data in Earth Engine
Export geospatial Data including rasters and vectors
Access images and image collections from the Earth Engine cloud data library
Perform cloud masking of various satellite images
Visualize and analyze various satellite data including, MODIS, Sentinel and Landsat
Visualize time series images
Run machine learning algorithms using big Earth Observation data
Description
Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook?
Do you want to learn spatial data science on the cloud?
Do you want to become a spatial data scientist?
Enroll in my new course 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.
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 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
Install the Anaconda and Jupyter Notebook
Set Up a Python 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
Advanced digital image processing
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 Jupyter Notebook. 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 Earth Engine Python API
Raster Data Visualization
Vector Data Visualization
Raster Data Analysis: Images
Raster Data Analysis: Image Collection
Machine Learning: Unsupervised and Supervised Classification
Bonus Lecture
Screenshots
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Coupons
Submit by | Date | Coupon Code | Discount | Emitted/Used | Status |
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Ignacio Castro | 11/15/2021 | BLACKF2021 | 85% OFF | expired | |
Ignacio Castro | 3/25/2023 | MARCH23PRO | 3% OFF | expired |