MEGA Machine Learning in GIS & Remote Sensing: 5 Courses in1 2021-11
Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS
What you'll 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
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!
Who this course is for:
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.
File Size: 5.19 GB
Download
*
Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS
What you'll 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
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!
Who this course is for:
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.
File Size: 5.19 GB
Download
*