Udemy – Machine Learning in Spatial Analysis: GIS & Remote Sensing 2021-3

Udemy – Machine Learning in Spatial Analysis: GIS & Remote Sensing 2021-3 Downloadly IRSpace

Udemy – Machine Learning in Spatial Analysis: GIS & Remote Sensing 2021-3
Udemy – Machine Learning in Spatial Analysis: GIS & Remote Sensing 2021-3

Machine Learning in Spatial Analysis: GIS & Remote Sensing, Are you eager to harness the power of Machine Learning for geospatial analysis, but not sure where to start? Welcome to our course, designed to equip you with the theoretical and practical knowledge of Machine Learning applied in the fields of Geographic Information Systems (GIS) and Remote Sensing. Whether you’re interested in land use and land cover mapping, classifications, or object-based image analysis, this course has you covered. This comprehensive course delves into the realm of Machine Learning in geospatial analysis, offering a blend of theory and practical application. Upon course completion, you will possess the knowledge and confidence to harness Machine Learning for a wide range of geospatial tasks. This course caters to a diverse audience, including geographers, programmers, social scientists, geologists, and any professionals who employ maps in their respective fields. If you anticipate tasks that demand state-of-the-art Machine Learning algorithms for tasks like land cover and land use mapping, this course empowers you with the skills to address such geospatial challenges.

What you’ll learn

  • Fully understand the basics of Machine Learning
  • Get an introduction to Geographic Information Systems (GIS), geodata types and GIS applications
  • Fully understand basics of Remote Sensing
  • Learn open source GIS and Remote Sensing software tools (QGIS, Google Earth Engine and others)
  • Fully understand the main types of Machine Learning and their applications in GIS
  • Learn about supervise and unsupervise learning and their applications in GIS
  • Learn how to apply supervised and unsupervised Machine Learning algorithms in QGIS and Google Earth Engine
  • Understand what is segmentation, object-based image analysis (OBIA) and predictive modeling in GIS
  • Learn how to perform image segmentation with Orfeo Toolbox
  • Understand the main developments in the field of Artificial Intelligence, deep learning and machine learning as applied to GIS

Who this course is for

  • Geographers, programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field

Specificatoin of Machine Learning in Spatial Analysis: GIS & Remote Sensing

  • Publisher : Udemy
  • Teacher : Kate Alison
  • Language : English
  • Level : All Levels
  • Number of Course : 31
  • Duration : 5 hours and 4 minutes

Content on 2023-11

Machine Learning in Spatial Analysis_ GIS & Remote Sensing

Requirements

  • A working computer

Pictures

Machine Learning in Spatial Analysis_ GIS & Remote Sensing

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 667 MB

File size

2.65 GB