Introduction to Satellite Remote Sensing Data Analysis
  • Introduction to the Course and Instructor
  • Data Used in This Course
  • What is Remote Sensing?
  • Different Types of Remote Sensing Data
  • Different Tools for Working with Remote Sensing-Start with R and QGIS
  • Get Started with SNAP Toolbox-Brief Introduction
  • Get Started with GRASS GIS-Brief Introduction
  • Conclusions to Section 1
  • Section 1 Quiz
Introduction to Optical Remote Sensing Data
  • Principles Behind Collection of Optical Remote Sensing Data
  • Different Types of Optical Remote Sensing Data
  • Downloading and Viewing Landsat Data
  • Different Landsat Sensors
  • Downloading and Viewing Optical Data via QGIS
  • Conclusions to Section 2
  • Section 2 Quiz
Pre-Processing Optical Data
  • Why is Pre-Processing Needed for Optical Data?
  • Implementing Atmospheric Correction on Landsat Data in R
  • Higher Level Landsat Products
  • QGIS For Pre-Processing Landsat Data: Semi-Automatic Classification Plugin
  • Atmospherically Corrected Outputs from QGIS
  • What Can Pre-Processed Satellite Data Be Used For?
  • Conclusions to Section 3
  • Section 3: Quiz
The Many Uses of Optical Data
  • Rationale for this section
  • Stacking and Unstacking Bands in QGIS
  • Band Maths in R and QGIS
  • Texture Indices-Theory
  • Texture Indices-GRASS GIS
  • Texture Indices-ESA SNAP
  • Tasseled Cap Transformations-theory
  • Tasseled Cap Transformations-GRASS GIS
  • Vegetation Indices in GRASS GIS
  • Vegetation Indices using RStoolbox
  • Dimension Reduction-theory
  • Dimension Reduction-QGIS
  • Dimension Reduction-GRASS GIS
  • Conclusion to Section 4
  • Section 4 Quiz
Classification of Remote Sensing Satellite Data
  • Rationale Behind this Section
  • Theory of Unsupervised Classification
  • Unsupervised Classification-ESA SNAP
  • Theory of Supervised Classification
  • Supervised Classification in QGIS: Preliminary Steps
  • Classification and Post Classification Accuracy in QGIS
  • Machine Learning Theory
  • Create Training Data in QGIS
  • Apply Machine Learning Techniques on Satellite Data
  • Conclusion to Section 5
  • Section 5 Quiz
Introduction to Active Remote Sensing Data: Synthetic Aperture Radar
  • Why Use Active Remote Sensing Data?
  • Obtain ALOS PALSAR Data
  • Pre-processing of ALOS PALSAR data
  • Filtering for Speckles
  • Obtain back-scatter values from ALOS PALSAR data
  • Section 6 Quiz