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Remote Sensing/Airborne Observation Platform Internship


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Academic Level:
Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Description:
This intern will focus on LiDAR data processing to improve classification of LiDAR point clouds through site specific parameter selection OR assess uncertainty in higher level LiDAR data products through empirical experimentation.

Essential Duties

Intern duties will primarily focus on designing algorithms to test parameter selection (through parameter sweeps) of LiDAR classification routines, or contribute to existing algorithms through code writing to assess uncertainty in higher level LIDAR data products. In both cases, intern will then perform statistical analyses on results to develop conclusions and present results to NEON science staff.

Reports and Presentations

• Prepare technical documentation, including software design diagrams, as well as user facing documentation on the work completed through the internship.

• Present project status to NEON science team and peers for feedback periodically throughout the summer.

• Present final scientific poster to NEON science team and peers at final Intern Poster Session at end of the summer program.

Seminars and Departmental Meetings

Participate in technical and career seminars and meetings with NEON science staff, NEON Internship program staff, and peers.

Community and Professional Behavior

Interns are part of a diverse community of peers working and living together. Interns are expected to contribute positively to the community and to conduct themselves in a manner appropriate to a professional environment. Interns are also expected to fully participate during normal office hours and during NEON Internship functions.

Decision Making and Problem Solving

Interns will use basic problem solving skills in their work, will exercise judgment regarding when to ask for help, and will consult with their supervisor or mentor on larger job or community related issues.


Application Deadline: 2/10/2017
Note: Most programs maintain a similar program cycle (including similar application deadlines) year after year. Click here to understand dates and deadlines on PathwaysToScience.org.

Participating Institution(s):
(Click an institution to see all programs it hosts)
National Ecological Observatory Network (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Computer Sciences
Ecology & Evolution
Environmental Sciences

Keywords:
Information Sciences
Remote Sensing

Questions about this program?
Click here to view this program's website

This program is funded by:
National Science Foundation (NSF)


Page last updated 11/29/2016 10:56:14 AM
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