Machine Learning in GIS : Land Use Land Cover Image Analysis
Become Expert in advanced Remote Sensing and GIS pixel- and object-based image analysis in Google Earth Engine & QGIS
4.49 (199 reviews)
6,887
students
4.5 hours
content
Nov 2024
last update
$54.99
regular price
What you will learn
Fully understand advanced methods of Land use and Land Cover (LULC) Mapping in QGIS and Google Earth Engine
Learn how to perform such advanced methods as object based image analysis (OBIA) and object-based classification using real-world data in QGIS
Further advanced your skills in the most popular open-source GIS and Remote Sensing software tools (QGIS)
Learn how to obtain satellite data, apply image pre-processing, create training and validation data for OBIA in QGIS and Google Earth Engine
Apply advanced Machine Learning image classification algorithms
Create and download LULC maps for your report
Explore the power of Google Earth Engine for image analysis
You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
You'll have a copy of the labs’ step-by-step manuals used in the course for your reference to use in your analysis.
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3079632
udemy ID
5/2/2020
course created date
6/1/2020
course indexed date
MAHAMAT OUCHAR
course submited by