Udemy - Forest Mapping in Earth Engine Python API and Colab

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Created by Dr. Alemayehu Midekisa, Spatial eLearning | Last updated 7/2021
Duration: 36m | 6 sections | 9 lectures | Video: 1280x720, 44 KHz | 324 MB
Genre: eLearning | Language: English + Sub

Learn satellite remote sensing, google earth engine python and forest cover monitoring and mapping
What you'll learn
Download, process and visualize various satellite data for forest monitoring application
Understand the advantages of using satellites for forest monitoring
Calculate Forest cover gain and loss using satellite data
Map global forest cover using SAR data
Requirements
This course has no requirement.
Description
Welcome to the Forest Mapping in Google Earth Engine Python API and Colab course.
This Earth Engine course is without a doubt the most comprehensive course for anyone who wants to apply remote sensing in forest cover mapping and monitoring. Even if you have zero programming experience, this course will take you from beginner to mastery.
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Here's why:
The course is taught by an experienced spatial data scientist and former NASA fellow.
The course has been updated to be 2021 ready and you'll be learning the latest tools available on the cloud.
We've taught over 16,000 students how to code and apply spatial data science and cloud computing.
You will have access to example data and sample scripts.

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