MEGA Machine Learning in GIS & Remote Sensing: 5 Courses in1

Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS

Created by: Kate Alison
GIS & Data Science

What Will I Learn?

• Fully understand the basics of Machine Learning and Machine Learning in GIS
• Learn the most popular open-source GIS and Remote Sensing software tools (QGIS, SCP, OTB toolbox)
• Learn the market leading GIS software ArcGIS (ArcMap) and ArcGIS Pro
• Learn about supervise and unsupervised learning and their applications in GIS
• Apply Machine Learning image classification in QGIS and ArcGIS
• Run segmentation and object-based image analysis in QGIS and ArcGIS
• Learn and apply regression modelling for GIS tasks
• Understand the main developments in the field of Artificial Intelligence, deep learning and machine learning as applied to GIS
• Complete two independent projects on Machine Learning and Deep Learning
• Understand basics of deep learning as a part of machine learning
• Apply deep learning algorithms , such as convolution neural networks, in GIS with ArcGIS Pro

Requirements

• Basic knowledge of manipulating spatial (image) data will be an advantage but not a must
• 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.
• Access to ArcGIS (Pro version 2.5 and ArcMAp 10.6 or higher): free trial available on the ESRI website

Target audience

• The course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use maps in their field and would like to learn more about geospatial (GIS & Remote Sensing) analysis.