neon education
TRANSCRIPT
• Online Learning Materials
• REU Program (undergrad
research program)
• Internship Program
• Graduate course
• Postdoctoral Program
• Workshops, seminars and
courses
Hampton et al, 2013
Frontiers in Ecology
Big data generally refer to massive volumes of
data not readily handled by the usual data tools
and practices and present unprecedented
opportunities for advancing science and informing
resource management through data-intensive
approaches.
Quantum GISGRASS GIS
GNU Octave
Programming
Spatial Analysis (GIS) Remote Sensing
Opticks
Data Management
Resources & Tools for Data Literacy / Analysis
Skills
• Develop: Understanding / Awareness of Key Tools /
Practices
• Facilitate: Use of “Big” Data in Research & Classroom
• Engage: working with NEON data
Graphics / Presentation Materials
VideosData
Analysis Demos
Prepackaged, data
Free & Open
Data Analysis
Tools
Community
Reviewed /
Tested
Free to Use /
Modify
LiDAR - Introduction to Light Detection and Ranging
Search: NEON Lidar
TREE
HEI
GH
T
Tim
e (E
leva
tio
n)
Returned Energy
Single Return
v
Tim
e (E
leva
tio
n)
Returned Energy
Two Returns
Vegetation Change
MetaData
Disturbance
Remote Sensing
LiDARdata
Imagery
Uncertainty
Data Specific Topics
Eco-Hydrology
Processing Methods
Science Topics
Data Collection Method Specific Topics
Sub-Theme: Riparian Vegetation
Topic / Question: Structural Attributes of
Riparian Forest Trees & Understory
Data Methods: Remote Sensing
Specific Method: LiDAR Data
© 2013 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED.
Community Driven Portal?
Vegetation Change
Disturbance
Remote Sensing
LiDARdata
Imagery
• Can we build a space
where all of us working in
these areas can contribute?
• Review existing materials
• Share topic ideas
• Contribute graphics, videos
Topics Underway
– LiDAR data products (under development)
• Collaborating with Jan van Aardt (RIT), Laura
Chasmer & Chris Hopkinson (University of
Lethbridge) , Crystal Schaaf (Boston University)
– Measuring Photosynthesis
• Collaborating with David Moore (U of Arizona), Pat
Morgan (LiCOR), Ankur Desai (Wisconsin)
USABILITY TESTING
External Expert Usability Firm
An effective way to understand our user’s needs
Inform UI/UX Design Informed Requirements
• User Survey: n=307
– December 2013, AGU
– Document: AGU 2013 Survey Results
• How do users find data?
• What terminology is familiar?
• What features do users need?
• What formats / packaging do they prefer?
• Informed Workflow: Users asked to perform tasks using prototypes
• Location
– Users wanted to identify location, using a map– Users were most often interested in data for a region or near a
point on a map
• Finding Data
– Search by: What the data measure– Users Wanted: Clear documentation to assess quality
• Users come to a portal with what they want in mind
Design Wireframes
• Landing Page
Design Wireframes
• Browse Data
Design Wireframes
• Data downloading
• (see top of image)
Account page – My Datasets
