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Machine Learning in GIS: Land Use/Land Cover Image Analysis

 
Udemy Course Machine Learning in GIS: Land Use/Land Cover Image Analysis | NED

02/06/2020 · [Advanced] Land Use/Land Cover mapping with Machine Learning This course is designed to take users who use QGIS for basic geospatial data/GIS/Remote Sensing analysis to perform more advanced geospatial analysis tasks including object-based image analysis using a variety of different data and applying Machine Learning state of the art algorithms.

Highest Rated
by Kate Alison

What you'll 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 for their analysis.
Requirements
  • A vivid interest in working with geospatial data
  • Basic knowledge of manipulating spatial (image) data using QGIS
  • A working computer with internet connection
  • • The course will be demonstrated using a QGIS version of Windows PC. Mac and Linux users will have to adapt the instructions to their operating systems.
Description

[Advanced] Land Use/Land Cover mapping with Machine Learning

This course is designed to take users who use QGIS for basic geospatial data/GIS/Remote Sensing analysis to perform more advanced geospatial analysis tasks including object-based image analysis using a variety of different data and applying Machine Learning state of the art algorithms. In addition to making you proficient in QGIS for spatial data analysis, you will be introduced to another powerful processing toolbox – Orfeo Toolbox and to the exciting capabilities of Google Earth Engine!

I'm very excited that you found my LULC Advanced course. This course is designed to equip you with the practical knowledge of advanced Land Use and Land Cover (LULC) mapping, which is one of the core skills for any Geographic Information Systems (GIS) and Remote Sensing analyst. By the end of the course, you will feel confident and completely understand and apply advanced Geospatial analysis including performing Machine Learning algorithms for land use and land cover mapping and learning object-based image analysis and basics of segmentation. All this you will be able to carry out on the real data in one of the most popular GIS software which is QGIS and Google Earth Engine.


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