9:00am-5:00pm

Module 2: Imagery Analysis Primer
– General Introduction to Geospatial Analysis starting with the fundamentals of imagery analysis for the beginner
– What are the seven elements of an image and how to derive new information form them?
– Textbook stuff (see also Dino Brugioni Scientific American article)
– The importance of caveats and peer review
– Nuclear fuel cycle and signatures

Module 3: Satellite Reconnaissance: From CORONA to Commercial
– Short history of overhead observation (pigeons, kites, balloons!)
– Historical review of declassified US reconnaissance programs through to today’s commercial imaging satellite constellations

Break

Module 4: Virtual Globes, and ‘Crowdsourcing’
Overview of major sources for geospatial information
– Virtual globes (and the layers on Google Earth)
– Blogs
– Wikis
– Commercial satellite imagery companies

Using and Downloading Google Earth information layers:
– Wikimapia, Google Earth Community, Panoramio
– How to use ‘Fly-to’ by name or coordinates
– Obtaining coordinates and marking places
– Overview of KMZ files (saving and sending)
– Organizing your location information in ‘My Places’
– Creating image overlays
– Conducting measurements
– Google Earth plug-ins

Project 816 Exemplar of putting the pieces together

Lunch

Module 5: Disinformation and Difficulties with Imagery
Potential Pitfalls:
– Camouflage, concealment and deception
(Disinformation, cover stories, Potemkin villages)
– Methods of verifying open source information