Machine Learning for GIS and Remote Sensing 2024

This course is designed to equip faculty members, researchers, and professionals with an opportunity to enhance their knowledge and skills in the field of Machine Learning and Deep Learning in QGIS and ArcGIS as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing. This course is designed to take users who use QGIS & ArcGIS 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 Deep Learning & Machine Learning state of the art algorithms. In the course, participants will be able to apply such Machine Learning algorithms as Random Forest, Support Vector Machines, Decision Trees, Convolutional Neural Networks (and others) for Remote Sensing and geospatial tasks. By the end of the course, participants will feel confident and completely understand the Machine and Deep Learning applications in Remote Sensing & GIS technology and how to use Machine and Deep Learning algorithms for various Remote Sensing & GIS tasks, such as land use and land cover mapping (classifications) and object-based image analysis (segmentation, object detection) and regression modeling in QGIS and ArcGIS software. This course will also prepare users for using GIS with open source and free tools (QGIS) and a market-leading software (ArcGIS)

 Basics of Machine Learning and Machine Learning in GIS
 Open-source GIS and Remote Sensing software tools
 supervised 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
 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
 Projects on Machine Learning and Deep Learning
 Basics of deep learning as a part of machine learning

Industrial and Domain Experts

Last date for Receipt of Applications: 01.05.2024 Intimation of Selection (By E-mail): 02.05.2024

• FT Research Scholar / Student – Rs. 500 + 18%GST
• Faculty – Rs. 600 + 18% GST
• Industry Person – Rs 1000 + 18% GST

Mepco Schlenk Engineering College Mepco Nagar, Mepco Engineering College Post-626005 Sivakasi, Tamilnadu, India

Accommodation will be provided within the college campus on request at a nominal cost.