ARLINGTON COUNTY POLICE-INTERNSHIP OPENING!

The Arlington County Police Department has an excellent internship opportunity for a college student interested in Crime Analysis and Geographic Information Systems (GIS).  If needed, academic credit may be obtained.  Internship description may be found here.

Application materials may be sent to my email address below.  If you have any questions, please feel free and contact me.

 Thank you,

Jacqueline

Jacqueline Zee Howard, Ph.D.

Arlington County Police Department

Crime Analysis Unit

1425 N. Courthouse Rd

Arlington, VA  22201

(703) 228-4349

jzhoward@arlingtonva.us

ASPRS Student Assistantship Program

ASPRS Student Assistantship Program

Application deadline: January 28, 2013.

Student Assistants will be notified by February 8, 2013.

If you are a student at an accredited college or university,  ASPRS invites you to attend and assist with the ASPRS 2013 Annual ConferenceMarch 23-28, 2013, in Baltimore, Maryland. 

Please go to  

http://www.asprs.org/Conferences/Baltimore-2013/Presenters-Students/Volunteering 

to find complete information about benefits and requirements

Continue reading ASPRS Student Assistantship Program

Map Contest -Please Submit Your Map!

 http://www.cartogis.org/awards/contest.php

 Student awards are sponsored by the National Geographic Society, Avenza, and ESRI. Each student award consists of a cash prize ($500), a National Geographic atlas, a student license of Avenza Mapublisher, and a certificate of award. Runners-up will receive a beautiful National Geographic map or atlas. Student mapmakers in a certificate, diploma, or degree program (bachelor, masters, doctorate) must have produced their entries with student facilities as part of an accredited course. Student entries must be signed by a course instructor. Winning entries will displayed at a number of national and international professional functions and will then become part of the permanent collection of the U.S. Library of Congress. Scans of winning entries will also be provided (with permission) to educators and teachers as examples of excellent map design for their students.

Student entries are strongly encouraged. Therefore, there is no fee for student entries. Professional entries are $30 for each map submitted.

Impressive!

Samuel Pritt, a junior at Pritt Home School (Walkersville, Maryland), won for “Geolocation of Photographs by Horizon Matching with Digital Elevation Models.” Photographs of events, landscape and field observations for science, espionage, and law enforcement often need to be located to specific geography. Doing this manually is impractical when handling a large quantity of photographs. Samuel wanted to automate the process. He developed a method and wrote a Java script for comparing the horizon profi le in a photograph and matching it against topographic profiles from digital elevation models (DEM); digital elevation models are available free to the public from sources like the U.S. Geological Survey. He tested more than 100 photographs from the eastern and western United States that portrayed outdoor landscapes and beach scenes, views from car windows, and indoor scenes with the horizon viewed through a window. The horizons varied in length, orientation, distinctiveness, visibility, and vegetation cover. Samuel reported an 83% success rate, with a mean error of about 300 m. During his work, he learned to take into account the curvature of the Earth, atmospheric refraction and DEM errors.
The execution time depends on the computer and DEM search area. He would like to speed up his search algorithm and foresees uses for his method for law enforcement, counter terrorism, photo tourism, community remote sensing, and autonomous vehicle navigation
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Continue reading Impressive!

Classify images of Sandy Damage

A wonderful opportunity for NVCC students to help out in the FEMA relief efforts for Hurricane Sandy, while using their Remote Sensing experience. The instructions are very easy to follow and all they need is the internet. The link to the information is found at http://gislounge.com/help-classify-images-of-hurricane-sandy-damage/?goback=%2Egde_142725_member_181382983. The link to the classification website is http://sandy.hotosm.org