About the series
In June 2021, NSF sponsored the Crevasse Risk Management and Safety Workshop. In continuing the conversations of this workshop, the NSF Office of Polar Programs is hosting a four-part webinar series on using technology to increase the ability to detect crevasses, an essential need while doing fieldwork in rapidly changing, ice-laden landscapes.
There is no need to register in advance. Simply follow the link listed below.
Using Modeling to Predict Where Crevasses Form
- Monday, March 27th at 10:30-11:30 am Eastern
- Panelists:
- Ching-Yao Lai, Princeton University
- Ellyn Enderlin, Boise State University
- Tim Bartholomaus, University of Idaho
- Recording: Using Modeling to Predict Where Crevasses Form
- Passcode: rMKJy0!9
Using Drones, Automated Radar Collection and Other Techniques in the Field to Detect Crevasses
- Tuesday, March 28th at 3-4 pm Eastern
- Panelists:
- Austin Lines, Cold Regions Research and Engineering Laboratory
- Laurent Mingo, Blue System Integration Ltd.
- Seth Campbell, University of Maine
- Recording: Using Drones, Automated Radar Collection and Other Techniques in the Field to Detect Crevasses
- Passcode: #++$E9?B
Using Satellite Imagery and Remote Sensing for Crevasse Detection
- Tuesday, April 4th at 1-2 pm Eastern
- Panelists:
- Leigh Stearns, University of Kansas
- Eli Deeb, Cold Regions Research and Engineering Laboratory
- Oliver Marsh, British Antarctic Survey
- Dan Price, University of Canterbury
- Recording: Using Satellite Imagery and Remote Sensing for Crevasse Detection
- Passcode: xR*FtO46
Automated Detection of Crevasses from Remote Sensing
- Thursday, April 6th at 4-5 pm Eastern
- Panelists:
- Matt Siegfried, Colorado School of Mines
- Joanna Millstein, Massachusetts Institute of Technology / Woods Hole Oceanographic Institution
- Shane Grigsby, Colorado School of Mines
- Gabe Lewis, University of Nevada, Reno
- Ching-Yao Lai, Princeton University
- Recording: Automated Detection of Crevasses from Remote Sensing
- Passcode: PT0zqX4!