University of California
Informatics and GIS Program

Posts Tagged: privacy

Day 1 Wrap Up from the NEON Data Institute 2017

I left Boulder 20 years ago on a wing and a prayer with a PhD in hand, overwhelmed with bittersweet emotions. I was sad to leave such a beautiful city, nervous about what was to come, but excited to start something new in North Carolina. My future was uncertain, and as I took off from DIA that final time I basically had Tom Petty's Free Fallin' and Learning to Fly on repeat on my walkman. Now I am back, and summer in Boulder is just as breathtaking as I remember it: clear blue skies, the stunning flatirons making a play at outshining the snow-dusted Rockies behind them, and crisp fragrant mountain breezes acting as my Madeleine. I'm back to visit the National Ecological Observatory Network (NEON) headquarters and attend their 2017 Data Institute, and re-invest in my skillset for open reproducible workflows in remote sensing. 

Day 1 Wrap Up from the NEON Data Institute 2017
What a day!
Attendees (about 30) included graduate students, old dogs (new tricks!) like me, and research scientists interested in developing reproducible workflows into their work. We are a mix of ages and genders. The morning session focused on learning about the NEON program ( its purpose, sites, sensors, data, and protocols. NEON, funded by NSF and managed by Battelle, was conceived in 2004 and will go online for a 30-year mission providing free and open data on the drivers of and responses to ecological change starting in Jan 2018. NEON data comes from IS (instrumented systems), OS (observation systems), and RS (remote sensing). We focused on the Airborne Observation Platform (AOP) which uses 2, soon to be 3 aircraft, each with a payload of a hyperspectral sensor (from JPL, 426, 5nm bands (380-2510 nm), 1 mRad IFOV, 1 m res at 1000m AGL) and lidar (Optech and soon to be Riegl, discrete and waveform) sensors and a RGB camera (PhaseOne D8900). These sensors produce co-registered raw data, are processed at NEON headquarters into various levels of data products. Flights are planned to cover each NEON site once, timed to capture 90% or higher peak greenness, which is pretty complicated when distance and weather are taken into account. Pilots and techs are on the road and in the air from March through October collecting these data. Data is processed at headquarters.

In the afternoon session, we got through a fairly immersive dunk into Jupyter notebooks for exploring hyperspectral imagery in HDF5 format. We did exploration, band stacking, widgets, and vegetation indices. We closed with a fast discussion about TGF (The Git Flow): the way to store, share, control versions of your data and code to ensure reproducibility. We forked, cloned, committed, pushed, and pulled. Not much more to write about, but the whole day was awesome!

Fun additional take-home messages:
- NEON is amazing. I should build some class labs around NEON data, and NEON classroom training materials are available:
- Making participants do organized homework is necessary for complicated workshop content:
- HDF5 as an possible alternative data format for Lidar - holding both discrete and waveform
- NEON imagery data is FEDExed daily to headquarters after collected
- I am a crap python coder
- #whofallsbehindstaysbehind
- Tabs are my friend

Thanks to everyone today, including: Megan Jones (Main leader), Nathan Leisso (AOP), Bill Gallery (RGB camera), Ted Haberman (HDF5 format), David Hulslander (AOP), Claire Lunch (Data), Cove Sturtevant (Towers), Tristan Goulden (Hyperspectral), Bridget Hass (HDF5), Paul Gader, Naupaka Zimmerman (GitHub flow).

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Posted on Monday, June 19, 2017 at 11:55 PM
Tags: class (2), coding (1), collaboration (1), conferences (2), data (1), open source (2), privacy (3), programming (1), remote sensing (1), tools (1), training (1)

Great links from class today

Today was WebGIS and the Geoweb (I know, we could do a whole semester), and rounded up some nice resources. 

  1. Open Street Map interactions (from Vanessa):
    1. Here is Overpass Turbo, the OSM data filtering site.
    2. Here is Tag Info, where you can find the keys to query information on Overpass Turbo.
  2. Privacy (from Wyeth): Radiolab did a great piece on the intersection between GIS data and privacy.
    1. Link to the article: (this is the updated article after changes from the original broadcast in June 2015 [] ) 
    2. Also, the company that developed from this:
Posted on Wednesday, October 5, 2016 at 9:20 PM
Tags: class (2), open source (2), privacy (3)

Conference at UCB on Digital Privacy and Surveillance - March 6

Pan-Optics: Perspectives on Digital Privacy and Surveillance

March 6, 10:30 a.m.-4 p.m. 310 Sutardja Dai Hall, Banatao Auditorium

Featured Speakers: Rebecca MacKinnon, Senior Research Fellow, New America Foundation; Trevor Paglen, Artist, Social Scientist, and Author

Advances in drone aircraft, networked cameras, and recent disclosures about the NSA’s international and domestic surveillance activities have stimulated public protests, outrage from activists, and new policy discussions among elected leaders. This symposium will highlight emerging perspectives on visual privacy and consider the state of the art from a variety of disciplines and professions, including technology, journalism, filmmaking and the arts.

Though traditionally considered separate domains, visual and digital surveillance practices are being combined as machine vision, facial recognition and other technologies become more sophisticated and interoperable. Institutional surveillance by semi-autonomous drones and remote cameras, citizen video monitoring, and incessant photo-sharing and tagging on social networks enable perpetual documentation. The same tools can be used for both transparency and repression.

This symposium will bring together scholars and practitioners from a range of disciplines to discuss privacy protections, surveillance methods, and modes of resistance in a digital age. The program will feature two keynote addresses and two panel discussions that will explore emerging surveillance technologies and applications across a range of contexts, and then turn to resistant strategies employed by individuals and organizations in response.

Registration required: $20 General Admission,  $10 Faculty or Staff,  $5 Students

Posted on Tuesday, January 14, 2014 at 3:07 AM
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