CReSIS Signal and Data Processing Group

CReSIS Signal and Data Processing Group 2018 (missing Jilu Li and Manjish Adhikari).

Currently all graduate research assistant positions are filled.

Faculty and Staff:

Nichols Hall, Room 325
2335 Irving Hill Rd
Lawrence, KS 66045
785-864-1692

Nichols Hall, Room 326
2335 Irving Hill Rd
Lawrence, KS 66045
785-864-1692

Students:

Previous Students:

CReSIS Signal and Data Processing Group 2017.

Projects

• CReSIS Radar Data Processing Pipeline: We have collected about 1 PB of data as of 2016 and are adding about 100 TB per year. There are four radar sensors, each configurable and being updated periodically. The code is primarily written in Matlab and C. The pipeline is driven by parameter spreadsheets that allow large batches of jobs to be scheduled in a single shot. We use a custom Torque Scheduler interface on three clusters (128 core, 1840 core, and remote-field-configurable cluster 32-96 core) for most of the processing. The system includes support for stepped-chirped, deramp on receive, and regular directly sampled radars. The pipeline includes GPS alignment, metadata tracking, pulse compression, deconvolution, RFI suppression, SAR processing, and space-time array processing.
  We are using and developing this toolbox and data in collaboration with:
  • Alfred Wegener Institute
  • Amherst College
  • British Antarctic Survey
  • University of Copenhagen Center for Ice and Climate
  • Columbia University Lamont-Doherty Earth Observatory,
  • Indiana University at Bloomington and SPIDAL
  • University of Maryland Baltimore County Computer Vision and Remote Sensing Lab
  • Stanford University Radio Glaciology
  • University of Texas Institute for Geophysics
  • University of Washington Applied Physics Laboratory
  Links to use data and software:
  • Toolbox: CReSIS Software
  • Radar Data: CReSIS Data Website
• EarthCube Open Polar Radar Software and Services Project. Goal to create an international framework for standardized data products and processing for polar radar sounder groups. The award focuses on data collected by several polar radar sounder groups: Alfred Wegener Institute, British Antarctic Survey, Columbia University's Lamont-Doherty Earth Observatory, University of Kansas Center for Remote Sensing of Ice Sheets, University of Texas Insitute for Geophysics (UTIG), and University of Washington.
• Field work and data processing for ITGC NSF-NERC projects Thwaites MELT and GHOST and NASA Operation IceBridge Multichannel Coherent Radar Depth Sounder (MCoRDS), Snow Radar, Ku-band Altimeter, and Accumulation Radar on a variety of aircraft including CReSIS built UAVs as well as some ground based radar work. We also have an EAGER project to add additional polarimetric, multipass, multifrequency, and multistatic capabilities to the ground based radars. One of the design goals of the EAGER project is to work toward an improved community radar deployment capability.
• SAR Active Target and Multistatic Receiver for ultra wideband radar system: to be used for array and radiometric calibration and as portable radar system. Part of this work is being covered by our EAGER project that is extending the ITGC NSF-NERC work.
• Tomography/interferometry/3D imaging/multipass/machine learning
  • We have five projects, NSF BIGDATA: IA: Collaborative Research: Intelligent Solutions for Navigating Big Data from the Arctic and Antarctic, NASA Cryosphere Multipass and tomography enabled data products for subsurface characterization and ice sheet model refinement, SPIDAL, Operation IceBridge, and Stability and Dynamics of Antarctic Marine Outlet Glaciers, working on these topics.
  • SPIDAL REU 2015: Sean Holloway Poster on 1D/2D simulator for 3D tomography
  • SPIDAL REU 2016: Jordan Sprick Poster adding ground truth for machine learning and geocoding results for 3D tomography
  • SPIDAL REU 2017: Shane Chu Poster on tuning hyperparameters for Viterbi and TRW-S algorithms
  • SPIDAL REU 2018: Anjali Pare Poster 1 and Poster 2 on tuning hyperparameters for the Levelset algorithm. Also worked on 2D layer viewing. Extended the work to implementing all our layer tracking routines in a cluster environment and standardized the framework for each routine. Recipient of Outstanding Presentation Award.
  • SPIDAL REU 2019: Reece Mathews Poster on the Open Polar Server and Viterbi and TRW-S algorithm adaptations.
• Ice sheet basal conditions (studying properties of radar scattering signal). Project is complete.
  • NASA New Investigator Project.
• Global Hawk Snow Thickness Estimation Radar/Multchannel Tomographic (3D-imaging) Snow Radar
  • This is a project to develop a 2-18 GHz FMCW radar for the NASA Global Hawk UAVs. Project is complete.
  • Follow on AITT project to complete Global Hawk Snow Radar for a P-3 installation. Includes side looking H/V SAR imaging radar to provide measurements for SWE and snow density.
• Geographic information system for CReSIS radar data
  • Actively working on the Open Polar Server which is an open source system for storing sounding radar data that is hosted on Github.
  • EarthCube Open Polar Radar Software and Services Project. Goal to standardize this interface for several polar radar sounder groups: University of Texas Insitute for Geophysics (UTIG), Columbia University's Lamont-Doherty Earth Observatory, University of Washington, Alfred Wegener Institute, and British Antarctic Survey.
• Internal layer SAR processor
  • We are working on this as part of SPIDAL.
• Ice sheet dielectrics and geophysical parameters (interest in CMP measurements and other methods for recovering geophysical properties of the ice)
  • We are collaborating with several external groups on this work.
• Ku-band altimetry and interpretation of satellite altimeter data
  • We are working on a proposal to continue previous work on this.
• Thickness and other properties of snow on sea and land ice
  • We are working on this as part of NASA Operation IceBridge