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Udemy - Python for Earth Engine and Google Colab Crash Course



Udemy - Python for Earth Engine and Google Colab Crash Course
Created by Dr. Alemayehu Midekisa | Last updated 11/2021
Duration: 37m | 5 sections | 7 lectures | Video: 1280x720, 44 KHz | 255 MB
Genre: eLearning | Language: English + Sub


Learn python google colab, earth engine python api, remote sensing, spatial data analysis
What you'll learn
Write your first python scripts using Google Colab
Access and sign up the Google Earth Engine Python API
Visualize satellite data on the Google cloud environment
Requirements
This course has no requirements.
Description
Do you want to access satellite sensors using Earth Engine Python API and Google Colab?
Do you want to learn the spatial data science on the cloud?
Do you want to become a geospatial data scientist?
In this Python for Earth Engine and Google Colab Crash 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.
In this course we will cover the following topics:
Introduction to Earth Engine Python API and Colab
Set Up a Google Colab Environment
NLCD Data Visualization
Calculate NDVI
Export images and videos
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. Google Earth Engine Python API is a cloud computing platform for accessing and analyzing geospatial data at a global spatial sclae and over four decades of temporal scale.
Jump in right now and enroll.
Best,
Dr. Alemayehu Midekisa, PhD
Who this course is for:
Learn python to analyze geospatial data on Google cloud using python

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