Geospatial Analyses & Remote Sensing | Udemy

Are you struggling with designing GIS or satellite-imagery-based maps for your project? Unsure where to start with Remote Sensing object-based image analysis, machine learning, QGIS, or Google Earth Engine?

Our comprehensive course is the solution you’ve been looking for. Learn step-by-step, with real-life projects, as we guide you through practical Remote Sensing and GIS techniques.

 

This course includes:
  1. 9 hours on-demand video
  2. 2 articles
  3. 27 downloadable resources
  4. Access on mobile and TV
  5. Full lifetime access
  6. Certificate of completion

 

$0

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Description

What you’ll learn

  • Understand and implement basic concepts of Geographic Information Systems (GIS) and Remote Sensing
  • Fully understand the basics of Land use and Land Cover (LULC) Mapping and Change Detection in QGIS
  • Learn the most popular open-source GIS and Remote Sensing software tools (QGIS), Semi-automated classification (SCP) plugin, OTB toolbox)
  • Learn how to obtain satellite data, apply image preprocessing, create training and validation data in QGIS
  • Create your first GIS maps for your reports/presentations in QGIS
  • Understand machine learning concepts and its application in GIS and Remote Sensing
  • Apply Machine Learning image classification mapping and change detection in SCP, OTB toolbox and QGIS
  • Fully understand and apply advanced methods in machine learning in GIS and Remote Sensing, such as random forest classification and object-based image analysis,
  • You’ll have a copy of the labs, step-by-step manuals and scripts used in the course for QGIS & more

Who this course is for:

  • Geographers, Programmers, geologists, biologists, social scientists, or everyone who deals with GIS maps in their field or would like to learn GIS and Remote Sensing

Requirements:

  1. A working computer
  2. An interest in working with spatial data
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.
This course includes:
  1. 9 hours on-demand video
  2. 2 articles
  3. 27 downloadable resources
  4. Access on mobile and TV
  5. Full lifetime access
  6. Certificate of completion