ML algorithms development for land cover mapping (0-100)
LULC mapping based on the advanced machine learning algorithms using QGIS, the Google Earth Engine, and Google Colab
4.32 (11 reviews)
70
students
2 hours
content
Jan 2023
last update
$13.99
regular price
What you will learn
The concepts of Remote Sensing
How to collect satellite Images utilizing the Google Earth Engine (GEE)
How to create Reference/Ground truth data in QGIS (vector format)
How to convert reference data from vector data into raster data in QGIS
The concepts of machine learning algorithms
Read and import your data from your Google Drive into Google Colab
Develop different machine learning algorithms in Google Colab
Map Land use land covers in your region utilizing different machine learning algorithms
How to validate a machine-learning algorithm
How to model feature importance using tree-based algorithms
To create map layouts in QGIS
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Related Topics
5120628
udemy ID
29/01/2023
course created date
06/02/2023
course indexed date
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