Machine Learning in GIS and Remote Sensing: 5 Courses in 1
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Machine Learning in GIS and Remote Sensing: 5 Courses in 1 at UDEMY Overview
Duration | 8 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Machine Learning in GIS and Remote Sensing: 5 Courses in 1 at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 24 downloadable resources & 1 article
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Machine Learning in GIS and Remote Sensing: 5 Courses in 1 at UDEMY Course details
- For professionals such as geographers, programmers, social scientists, geologists
- 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
- This course is designed to equip you with the theoretical and practical knowledge of Machine Learning and Deep Learning in QGIS and ArcGIS as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing
- By the end of the course, you 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 you for using GIS with open source and free tools (QGIS) and a market-leading software (ArcGIS)
- 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, you 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
- You will also learn how to conduct regression modeling for GIS tasks in ArcGIS
Machine Learning in GIS and Remote Sensing: 5 Courses in 1 at UDEMY Curriculum
Introduction
Introduction
Introduction to GIS
Introduction to Remote Sensing
Applications of GIS and Remote Sensing
Software used in this course: QGIS and ArcGIS 10.6 and ArcGIS pro
QGIS version information
Installation of QGIS
Semi-Automatic Classification Plugin for QGIS
Intsalling plug-ins for QGIS
On Machine Learning in GIS and Remote Sensing: theoretical background
Introduction: Machine Learning
On Machine Learning in GIS and Remote Sensing: theoretical background
Supervised and Unsupervised Learning (classification) in GIS and Remote Sensing
Lab: Image data acquisition in QGIS
Common algorithms of image classification
Land cover classification on the cloud using EO browser
Regression Analysis
Prediction in GIS and deep learning for Big Data Analysis
Unsupervided Learning in ArcGIS
Overview of Machine Learning for Image Classification in ArcGIS
ArcGIS Software
Unsupervised LULC image analysis in ArcGIS
Unsupervided Learning in QGIS
Installing OTB plug-in for QGIS
Unsupervised (K-means) image analysis in QGIS
Supervised Machine Learning for LULC Classification in ArcGIS
Stages of LULC supervised classification
Lab: Creating Training data in ArcMap 10.6
Lab: Supervised image classification with Support Vector Machines in ArcGIS
Machine Learning in GIS and Remote Sensing: 5 Courses in 1 at UDEMY Faculty details
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