Announcements and Links

• Data Visualization from Eye Candy to Efficiency

Agenda

• 6:30-7:15: Updates (including visualization assignments)
• 7:15-8:15: Catherine D’Ignazio lecture / Q&A
• 8:15-8:25: Break
• 8:25-9:15: Remote sensing (satellite data) lecture / Q&A.
  Guest co-speaker: Ilias Koen.
• 9:15-9:20: Final notes and comments

Notes

• Remote sensing: Spectral, Temporal, Spatial
  • Working with Landsat Data (2006)
  • Landsat Mission Acronyms
  • The Worldwide Reference System
  • UMD Global Landcover Facility
  • OpenIR (2013)
  • Google Earth Engine, with API guide
  • USGS Landsat 8
  • NASA Landsat 8
  • Landsat Mission page
  • NASA Echo Reverb
  • NASA Earthdata search
  • Mapbox Landsat 8 band explanation
• Band Combinations
  • How to make a true color Landsat 8 band in Photoshop
  • Band combinations for Landsat 8
• Tile Mosaics
  • Geospatial Data Abstraction Library (GDAL)
  • GDAL utility programs including gdalwarp, gdal2tiles, gdal_merge
  • Developing your own IR data viewers using OpenIR scripts (note: GLCF.UMD data sources are Landsat 7)

Next Week’s Assignments

• Blog post (due next week): Complete another brief visualization exercise. It can, but doesn’t have to, be related to your midterm project. It can follow one of the tutorials on this site, or it can follow an external tutorial. You can even dive deeper into one of the remote sensing-related tools like Google Earth Engine or GDAL. It’s up to you!
• Midterm (due in two weeks). A full project brief is here. If it will help you prepare, I can write a walk-through of one of my previous visualization projects (which includes a write-up) that is about the same scope as a midterm or final, depending on your prior technical experience. You can see the project files for this vis, called “Networks in Equity and Sustainability,” at Github.