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

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Description


Machine Learning and Deep Learning for Geospatial Analysis in QGIS and ArcGIS

Are you ready to unlock the power of Machine Learning and Deep Learning for geospatial analysis using QGIS and ArcGIS? This comprehensive course is designed to equip you with both the theoretical understanding and practical skills to apply cutting-edge algorithms to Geographic Information Systems (GIS) and Remote Sensing tasks.

Course Highlights:

  • In-depth knowledge of Machine Learning and Deep Learning applications in GIS and Remote Sensing

  • Confidence to use these algorithms for land use and land cover mapping, object-based image analysis, and regression modeling

  • Proficiency in QGIS for advanced spatial data analysis

  • Introduction to the Orfeo Toolbox and ArcMap and ArcGIS PRO

  • Hands-on experience with Machine Learning algorithms like Random Forest, Support Vector Machines, Decision Trees, Convolutional Neural Networks, and more

  • Completion of two independent GIS projects showcasing your advanced geospatial skills

  • Downloadable materials, including datasets and instructions

Course Focus:

This course is your gateway to taking your geospatial analysis skills to the next level. It's tailored to users who are already familiar with QGIS and ArcGIS for basic tasks but want to tackle more advanced geospatial challenges. You'll harness the power of Machine Learning and Deep Learning to perform object-based image analysis using various data sources.

Why Choose This Course:

Unlike other training resources, every lecture is designed to enhance your GIS and Remote Sensing skills in a clear and actionable manner. You'll gain practical, hands-on experience to apply Machine Learning algorithms such as Random Forest, Support Vector Machines, Decision Trees, and Convolutional Neural Networks to real-world geospatial tasks.

What You'll Learn:

  • Machine Learning and Deep Learning applications in Remote Sensing and GIS

  • Regression modeling in ArcGIS

  • Using the Orfeo Toolbox and ArcMap

  • Applying Machine Learning algorithms for land use and land cover mapping

  • Object-based image analysis, segmentation, and object detection

  • Conducting two independent GIS projects to demonstrate your skills

Enroll Today:

Whether you're a geographer, programmer, social scientist, geologist, GIS or Remote Sensing expert, this course is your opportunity to elevate your GIS and Remote Sensing skills to new heights. Sign up now and gain the knowledge and confidence to excel in geospatial analysis using Machine Learning and Deep Learning in QGIS and ArcGIS.

INCLUDED IN THE COURSE: Access all the data and resources used throughout the course, including datasets and instructions to create maps based on Machine Learning algorithms using QGIS and ArcGIS software tools. Enroll today and harness the full potential of geospatial analysis!

What You Will 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

Who Should Attend!

  • 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.