Remote Sensing for Land Cover Mapping in Google Earth Engine

Learn machine learning, big data and land use land cover classification using Google Earth Engine cloud API
4.27 (97 reviews)
Udemy
platform
English
language
Other
category
Remote Sensing for Land Cover Mapping in Google Earth Engine
568
students
2 hours
content
Apr 2024
last update
$54.99
regular price

What you will learn

Learn to apply land use land cover classification using satellite data

Land use land cover change detection analysis

Perform accuracy assessment of land use classifications

Download, and process satellite images

Learn digital image processing

Digitize reference training data

Understand satellite image bands and spectral indices

Predict new land use land cover products

Access global land use land cover products

Course Gallery

Remote Sensing for Land Cover Mapping in Google Earth Engine – Screenshot 1
Screenshot 1Remote Sensing for Land Cover Mapping in Google Earth Engine
Remote Sensing for Land Cover Mapping in Google Earth Engine – Screenshot 2
Screenshot 2Remote Sensing for Land Cover Mapping in Google Earth Engine
Remote Sensing for Land Cover Mapping in Google Earth Engine – Screenshot 3
Screenshot 3Remote Sensing for Land Cover Mapping in Google Earth Engine
Remote Sensing for Land Cover Mapping in Google Earth Engine – Screenshot 4
Screenshot 4Remote Sensing for Land Cover Mapping in Google Earth Engine

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Enrollment Distribution
1970162
udemy ID
16/10/2018
course created date
08/02/2020
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