Thursday 22 June: Combining External Sensors & Applications feature image Source: National Ecological Observatory Network (NEON)
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Series: Thursday 22 June: Combining External Sensors & Applications

On Thursday, we will begin to think about the different types of analysis that we can do by fusing LiDAR and hyperspectral data products.

Learning Objectives

After completing these activities, you will be able to:

  • Classify different spectra from a hyperspectral data product
  • Map the crown of trees from hyperspectral & lidar data
  • Calculate biomass of vegetation

Schedule: Combining External Sensors & Applications

All activities are held in the the Classroom unless otherwise noted.

Time Topic Instructor/Location
8:00 Applications of Remote Sensing Paul Gader
9:00 NEON Vegetation Data (related video) Katie Jones
  NEON Foliar Chemistry Data Samantha Weintraub
9:40 Classification of Spectra Paul
  Classification of Hyperspectral Data with Ordinary Least Squares in Python Paul
  Classification of Hyperspectral Data with Principal Components Analysis in Python Paul
  Classification of Hyperspectral Data with SciKit & SVM in Python Paul
10:30 BREAK  
10:45 Classification of Spectra, cont. Paul
12:00 LUNCH Classroom/Patio
13:00 Tree Crown Mapping Paul
15:00 BREAK  
15:15 Biomass Calculations Tristan Goulden
17:30 Capstone Brainstorm & Group Selection Megan Jones