GEOINT Student M.Appathon Winner – Crowdsourced Radiation Measurements

This year Hexagon Geospatial partnered with The United States Geospatial Intelligence Foundation (USGIF) to bring training opportunities to USGIF’s academic partners participating in the GEOINT 2018 Symposium. Hexagon Geospatial hosted a student M.Appathon competition, inviting university undergraduates to use the Hexagon Smart M.App platform to create an Incident Analyzer View visualizing the position, frequency, and temporal characteristics of specific types of occurrences. One of the student winners, Carolynne Hultquist, Geoinformatics and Earth Observation Laboratory, Pennsylvania State University, shares some insight about the Smart M.App she created, as well as her experience with the Smart M.App platform, and the M.Appathon at GEOINT 2018.

Tell us a little bit about you and your Analyzer View from the Student M.Appathon at GEOINT:

Q: Where you are from?
A: I grew up in Charlotte, NC.

Q: Where did you attend school and what did you study? Why did you choose this subject?
A: I’m a PhD candidate at Penn State in Geography and Social Data Analytics specializing in fusing sources of geographic information to better understand complex environments. My research has involved machine learning, the use of geospatial technologies during hazards, energy, and complexity theory. The focus of my research is to use computational methods for spatio-temporal analysis and modeling of human impacts from natural disasters.

Q: Where do you currently work? What is your current job? What are your responsibilities?
A: This summer I’m interning at Pacific Northwest National Labs in the Energy and Environment Directorate to work on the fusion of multiple data sources for disaster response.

Q: What are some of your favorite things to do during your free time?
A: I love traveling, reading, playing soccer, singing, and dancing.

Q: Where did your interest in geospatial/mapping/information services come from?
A: In elementary school I decided I would be a geographer as I loved learning about the world. I explore digitally and in real life.

Q: What did you think about GEOINT?
A: The GEOINT Symposium was new to me and I was exposed to the role industry plays in GEOINT.

Q: What did you think about the Student M.Appathon?
A: It showed the students a new web application being developed to do exploratory analysis on a single spatial dataset. I found that it did fine handling about 100,000 points.

Tell us about your Smart M.App idea:

Q: What is the problem your Smart M.App addresses?
A: The application visualizes the spatial and temporal patterns of around 650,000 radiation measurements that were collected in 2011 after the Fukushima nuclear accident in Japan.

Q: What is your Smart M.App called?
A: Crowdsourced Radiation Measurements

Q: What does it do?
A: The interactive map shows the quantity of crowdsourced radiation measurements taken in about nine months in the Fukushima area by the Safecast project. If you select ranges of only high values, by using the widget in the top left corner, you can see that there are some elevated measurements; they are concentrated near the Fukushima Daiichi Nuclear Power Plant, the source of the 2011 radioactive release. A drop down menu of fields can be used to select 2011 measurements decayed to the end of the year for each year from 2011-2015. This application interactively shows the decrease of radiation levels over time; by 2015, very few spots are elevated. The methods used to prepare the data can be found in the GeoJournal publication “Citizen monitoring during hazards: validation of Fukushima radiation measurements.”

Q: In what other ways might you use Hexagon Smart M.App platform and the Analyzer Apps again in the future for different data?
A: I’m interested in having access to the application that allows for multiple sources of data so that I could use it for fusion. I got around this issue this time by using an outline of one my layers as a basemap, but it would be great to have all the charts and graphs compare multiple datasets at once.

Learn more about Carolynne’s Smart M.App, Crowdsourced Radiation Measurements, by viewing the live demo. Hexagon Geospatial would like to congratulate Carolynne again on her achievement and winning the Student M.Appathon at GEOINT 2018!

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