Machine Learning in ArcGIS : Map Land Use Land Cover in GIS

• Fully understand advanced GIS and Remote Sensing methods of Land use and Land Cover (LULC) Mapping in ArcGIS
• Learn how to perform such advanced GIS methods as object based image analysis (OBIA) and object-based classification using real-world data
• Further advanced your GIS and Remote Sensing skills in the market leading GIS software (i.e. ArcGIS)
• Learn how to obtain satellite data and UAV images, create training and validation data for OBIA and pixel-based and Remote Sensing data classification
• Learn about Machine Learning and Machine Learning types / algorithms
• Apply all stages of supervised Machine Learning in ArcGIS
• Apply advanced Machine Learning image classification algorithms in ArcGIS
• Explore the power of ArcGIS for Remote Sensing 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 data and some detailed manuals used in the course for your reference to use in your GIS analysis
• Learn applied Remote Sensing & GIS skills needed for your future / current geospatial job!

Who this course is for:

• Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field