OpenTopography Blog

Information and discussion related to high-resolution LiDAR topography for the Earth sciences

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Posts from February 2012

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Methods Research Study: Measuring tectonically offset geomorphic features with lidar

Posted on Wed, February 29, 2012 by Chris Crosby in News

Barrett Salisbury, a graduate student at ASU and regular OpenTopography user, is conducting a research study - Remotely measuring tectonically offset geomorphic features using light detection and ranging (LiDAR) data - to explore the “repeatability, accuracy, and precision” of lateral fault offset measurements made on lidar topography data.  Barrett is asking for participants with a geologic background to take part in his study:

Greetings!

I am a graduate student under the direction of Dr. Ramon Arrowsmith in the School of Earth and Space Exploration at Arizona State University.

For the next few weeks, we are conducting a research study with Dr. Rockwell at San Diego State University to test the repeatability, accuracy, and precision of lateral displacement measurements derived from high-resolution topographic Light Detection and Ranging (LiDAR) data.  The study is designed for users of all geologic backgrounds, so we cordially invite you, your colleagues, students, and friends to take a few minutes and help us validate our measurement methods.  All are welcome to participate, so please pass this message to anyone you think may be interested.  The deadline for submissions is March 16th.

Your participation will involve a brief introduction to one of three measurement methods, measuring ten offset features, and completing a brief experience questionnaire.  You may choose to use more than one measurement method if you like.  Any contributions you can make are greatly appreciated.  The surveys, along with more background information, can be found at:

http://stockdale.sese.asu.edu/Validation/validationindex.html

Your measurement estimates will aid in the development of methods used to assess the effects of earthquake ruptures.  All results will be kept confidential, and responses will be tied to an identifier rather than to a name.  The results of this study may be used in reports, presentations, or publications.

If you have any questions concerning the research study or are interested in using it as a classroom activity, please contact Barrett Salisbury via email at .

Cheers, and thank you for your time!

Barrett Salisbury (M.S.), Dr. Ramon Arrowsmith, and Dr. Thomas Rockwell

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BCAL post-doc in remote sensing and visualization

Posted on Mon, February 27, 2012 by Chris Crosby in Jobs • News

Nancy Glenn at the Boise Center Aerospace Lab (BCAL) wrote to encourage us to spread the word about a post-doc position she is currently advertising in remote sensing & visualization.  Nancy is a member of the OpenTopography advisory committee and has led the development of the BCAL LiDAR Tools for ENVI. She is also a leader in the Idaho Lidar Consortium and involved in a range of interesting research related to lidar and remote sensing.  A copy of the post-doc announcement is below. The web announcement can be found here: http://bcal.geology.isu.edu/975.shtml

Department of Geosciences; Full-time; 12 month appointment; Position anticipated to last up to two years, depending upon funding availability and performance. Position to start immediately.

Responsibilities:
We seek a postdoctoral fellow interested in working with a dynamic interdisciplinary team to develop research applications in remote sensing and visualization. The post-doc will focus on programming and analysis of hyperspectral, multispectral, TLS, and LiDAR data for scientific application to vegetation, geormorphology, and/or hydrology. Examples of research opportunities include: developing algorithms to better analyze TLS and LiDAR data in semiarid regions, developing tools to fuse datasets, visualization of point-clouds, and web-based LiDAR processing. The post-doc will also assist in developing tools and methodologies for remote sensing data analysis in an immersive 3D environment (IQ-station) and will have opportunities to collaborate with scientists at across institutions.

Qualifications:
The position requires a PhD in natural resource science, computer science, engineering, or related field. Proficiency in C++, C sharp and/or other major programming languages (IDL, Matlab, etc). Excellent communication skills are a must. Publication record and GIS experience are desirable.

Salary:
Commensurate with experience and qualifications; competitive benefits package.

Application:
Please submit a cover letter describing your research interests, experience, and qualifications for this position, curriculum vitae, and contact information for three professional references. Apply here: https://isujobs.net/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=138227

Review of applications will begin immediately; search will continue until position is filled. For further information about ISU and the Department visit us at http://www.isu.edu/; http://bcal.geology.isu.edu/index.shtml.

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2012 IEEE Geoscience and Remote Sensing Society Data Fusion Contest

Posted on Thu, February 09, 2012 by Chris Crosby in News • Publications

Fabio Pacifici, the Chair of the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society (GRSS) emailed the following announcement to encourage the OpenTopography community to participate in the 2012 IEEE Geoscience and Remote Sensing Society (GRSS) Data Fusion Contest.  More information:

2012 IEEE GRSS Data Fusion Contest: This year the Contest is designed to investigate the potential of multi-modal/multi-temporal fusion of very high spatial resolution imagery. Three data sets of three different types (optical, SAR, and LIDAR) over downtown San Francisco are made freely available by DigitalGlobe, Astrium Services, and USGS. They will include very high spatial resolution QuickBird, WorldView-2, TerraSAR-X, and LIDAR imagery. Optical and SAR data sets will be composed of a total of eight images from two acquisition times in 2007 and 2011.

To enter the contest, participants are required to submit a manuscript on a research topic of their own choosing. Papers should describe in detail the problem addressed, the method used, and the final result. Deadline: May 1, 2012.

The winning teams will be eligible to win up to $800 and an open access publication on an IEEE GRSS Journal ($3,000 value). More than 600 users from universities and corporations across the globe have registered in just over a month.

Here the link to the Contest web-page: http://www.grss-ieee.org/community/technical-committees/data-fusion/data-fusion-contest/ where more information is available.

The Data Fusion Contest is annually proposed since 2006, and it is organized by the Data Fusion Technical Committee of the Geoscience and Remote Sensing Society. The Committee serves as a global, multi-disciplinary, network for geospatial data fusion, connecting people and resources. It aims at educating students and professionals, and at promoting best practices in data fusion applications.The Contest is open not only to IEEE members, but to everyone, with the aim of evaluating existing methodologies at the research or operational level to solve remote sensing problems using data from different sensors.

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