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Glen Echo [clear filter]
Tuesday, January 7

4:00pm EST

ESIP/OGC Coverage Processing and Analysis Sprint Report-Out
Learn what came out of two days of sprinting on how to advance APIs for analytics on coverages, arrays, and gridded data.

Join the conversation on the Gitter Channel or check out issues on Github.


View Recording:

  • Overview of OGC API Sprint: What is distinction between Features and Coverages? Answer can be self-referential. Looking to gather feedback at https://github.com/opengeospatial/ogc_api_coverages
  • Future API will be view of data. It will support feature view or coverage view as layers, functional render of underlying data.
  • Idea is to provide single, holistic API that lets you daisy-chain any level of complexity by combining modular sub-APIs into workflow ‘processes’.

avatar for Ingo Simonis

Ingo Simonis

Director Innovation Programs & Science, OGC
Dr. Ingo Simonis is director of interoperability programs and science at the Open Geospatial Consortium (OGC), an international consortium of more than 525 companies, government agencies, research organizations, and universities participating in a consensus process to develop publicly... Read More →
avatar for George Percivall

George Percivall

CTO, Chief Engineer, OGC
As CTO and Chief Engineer of the Open Geospatial Consortium (OGC), George Percivall is responsible for the OGC Interoperability Program and the OGC Compliance Program. His roles include articulating OGC standards as a coherent architecture, as well as addressing implications of technology... Read More →

Tuesday January 7, 2020 4:00pm - 5:30pm EST
Glen Echo
  Glen Echo, Breakout
Thursday, January 9

10:15am EST

Do you have a labeling problem? Three tools for labeling data
The ESIP community and others in machine learning regularly lament the lack of labeled datasets, needed for certain classes of training algorithms. Generating accurate, useful labels is a hard problem, with no general automated solution in sight. Thus, labeling generally involves human effort, which is challenging because the volume of data needed for training can be very large.

Tools exist to help in labeling data. This session will demonstrate three labeling tools and associated processes:
  • Image Labeler, a fast, scalable cloud-based tool to facilitate the rapid development of Earth science event databases, to aid in automated ML-based image classification, Rahul Ramachandran
  • Labelimg, an open source graphical image annotation tool, https://github.com/tzutalin/labelImg, Ziheng Sun
  • Bokeh, a Python based plotting and annotation tool set for building arbitrary labeling workflows, https://bokeh.org/, Jim Bednar
Time permitting, the session will conclude with a short discussion of thoughts and tradeoffs about the tools.

This session is followed by a hands-on workshop for using Labelimg and Bokeh. Please see the session abstract for "Hands on Labeling Workshop" for information on preparing for that workshop if you are interested in participating.


View Recording: https://youtu.be/3ufBOoD3M1E

  • Machine learning based classification applications require high-quality labelled data sets for both model training and evaluation. There are many existing tools for labeling images (including earth science data), but labeling tasks are very labor and time intensive.
  • If the pre-built labeling tools don’t work for your problem, Anaconda provides a general-purpose labeler-building toolkit based on Bokeh for Python users; see https://examples.pyviz.org/ml_annotators/ml_annotators.html
  • There is opportunity in combining partly automated, partly human labeling, to automate the easy cases while leaving the final call to a person. Currently not much tool support or good practices, hard to integrate.The art of avoiding extra work!

avatar for Ziheng Sun

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and machine learning in atmospheric and agricultural sciences.
avatar for Anne Wilson

Anne Wilson

Senior Software Engineer, Laboratory for Atmospheric and Space Physics
avatar for Yuhan (Douglas) Rao

Yuhan (Douglas) Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for James Bednar

James Bednar

Director of Technical Consulting, Anaconda, Inc.
I work on HoloViz.org and PyViz.org, and am happy to chat about anything to do with visualizing data in Python.

Thursday January 9, 2020 10:15am - 11:45am EST
Glen Echo
  Glen Echo, Breakout

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