EarthCube Advancing the Analysis of HRT Workshop #2


EarthCube Research Coordination Network Workshop #2 - Advancing the Analysis of High Resolution Topography (A2 HRT)

May 8-10, 2023
Arizona State University, Tempe, AZ

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Please save the dates, May 8-10th, 2023, for the EarthCube Advancing the Analysis of High Resolution Topography (HRT) Workshop #2, at Arizona State University, in Tempe, AZ.

This 2.5 day workshop will emphasize training in processing and applications of HRT with open source software, with the goal of advancing the use of HRT for earth science research and education. Tentative hands-on training topics include:

  • Using PDAL (Point Data Abstraction Library) and GDAL (Geospatial Data Abstraction Library) to build point cloud and raster data processing pipelines
  • Using LidR, an R package, for point cloud processing, with a focus on deriving vegetation and topographic information
  • Integration of HRT data into models with Landlab
  • Topographic differencing and understanding error budgets

Following a hiatus due to the pandemic, this is the second workshop in the series that began with the 2018 workshop.

We also plan a poster session and abundant time for networking and discussion. Keynote talks will begin each day. Applications for the workshop will open in early January 2023. Early career and persons from underrepresented communities are strongly encouraged to apply. Partial financial support will be available. The workshop will be in-person. A remote option will not be available.

NSF EarthCube RCN (NSF-EAR #1642611)
OpenTopography (NSF-EAR #1948994)
NCALM (NSF-EAR #1830734)

The workshop will run from 8:30 AM on Monday, May 8th to noon on Wednesday, May 10th, 2023. Participants are expected to attend the workshop for the full duration.

Workshop will be held on campus at Arizona State University. Details on a workshop hotel near campus in downtown Tempe, AZ will be forthcoming.

Participation by graduate students and early career scientists is encouraged. Participant support will be available to offset the cost of travel.

Prior experience with high resolution topography data and analysis is expected.