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Mar10
2017

2017 Data Institute Application Deadline

March 10, 2017

Apply by March 10 for the 2017 Data Institute in Remote Sensing

The 2017 Data Institute in Remote Sensing with Reproducible Workflows provides a unique opportunity for participants to gain hands-on experience working with open data using well-documented reproducible methods. Participants will also gain important applied knowledge about using heterogeneous remote sensing data sources to answer spatio-temporal ecological questions. 

Institute Dates: June 19-24, 2017

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Feb10
2017

2017 Undergraduate Internship Applications Due

February 10, 2017

NEON is accepting applications for a variety of research internships for undergraduates in summer 2017. Applicaitons are due Febraury 10th.  

From helping to design sensor assemblies to testing sampling protocols and analyzing data, interns work alongside staff mentors and explore career options in weekly professional development seminars and networking events with interns from other scientific programs based in Boulder, CO.

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Dec12
2016

2016 AGU Fall Meeting

December 12 - 16, 2016

Exhibit booth Information


Battelle with have information on the National Ecological Observatory Network at booth #1507 this year. A staff scientist will also being conducting NEON data portal feedback sessions during the following times so please stop by and tell us what you think!

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Oct17
2016

NSF Macrosystems Biology & Early NEON Science Proposals Deadline

October 17, 2016

The MacroSystems Biology and Early NEON Science: Research on Biological Systems at Regional to Continental Scales program will support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales as well as planning, training, and development activities to enable groups to conduct MacroSystems Biology and Early NEON Science research.

Learn more about how to apply

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Sep28
2016

NSF NEON Workshop: Topographic, geomorphic, and vegetation analysis with lidar

September 28 - 30, 2016

This workshop is part of a series of NSF/NEON supported training on the use of datasets from the NEON Airborne Observing Platform to enable new discoveries in the biophysical research community.

The workshop will be a 3-day course taught by OpenTopography and NEON lidar experts and will consist of lectures and labs on topographic, geomorphic, and vegetation analysis with lidar point clouds and derived products. The course will utilize NEON data and attendees will have the opportunity to bring their own datasets for analysis.

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