Fluvial Remote Sensing research group well-represented at the annual meeting of the Association of American Geographers
Several members of our team traveled to Chicago April 20-24, for the 2015 annual meeting of the Association of American Geographers (AAG). From left to right in this photo, Devin Lea, Christy Leonard, Toby Stegman, and Ryan Richardson all presented work on various aspects of fluvial remote sensing, ranging from river restoration monitoring with structure-from-motion photogrammetry on Idaho's Teton Creek to large-scale salmon habitat mapping in California's Merced and Tuolmne Rivers. By all accounts, the presentations went well and everyone enjoyed the Windy City.
Zhigang Pan's paper, which includes Carl Legleiter and Brandon Overstreet as co-authors, on full waveform bathymetric LiDAR algorithms has just appeared in Remote Sensing. Use this link to visit this open access journal's web site for the article, titled Performance assessment of high resolution airborne full waveform LiDAR for shallow water bathymetry. The paper describes innovative algorithms for inferring river bed elevations from water-penetrating green LiDAR. Field data from our study area along the Snake River were used to evaluate these new methods, which provide a powerful means of mapping both terrestrial and submerged surface elevations with a single sensor.
Zhigang Pan, a colleague with the National Center for Airborne Laser Mapping at the University of Houston, is the lead author on a new paper that has just been accepted for publication in Remote Sensing. The article, titled "Performance assessment of high resolution airborne full waveform LiDAR for shallow water bathymetry," describes innovative algorithms for inferring river bed elevations from water-penetrating green LiDAR. Field data from our study area along the Snake River were used to evaluate the new, waveform processing methods. These techniques provide a powerful means of mapping both terrestrial and submerged surface elevations with a single sensor. Congratulations, Zhigang!
A paper summarizing a long term tracers study on Soda Butte Creek has just been published in the latest issue of Yellowstone Science. This journal is intended for a more general audience and reaches a broad readership. Yellowstone Science spans a broad range of topics - anything that happens in greater Yellowstone is fair game - and our paper appears in a special issue on climate change. Here are direct links to the Soda Butte tracer study and the special issue as a whole.
Also of note, as a trivia question for the future, this is Devin Lea's first article - the first of many to come.
New grant from UW-NPS Research Station to examine channel change along the Snake River in Grand Teton National Park
We have just been awarded a new grant from the University of Wyoming-National Park Service Research Station's Small Grants Program for a study entitled "Mapping Channel Change and Habitat Dynamics along the Snake River from a Time Series of Remotely Sensed Data." This investigation will use image data to be acquired in the summer of 2015 through the National Agricultural Imagery Program (NAIP) to extend our analysis of river morphodynamics. With the new NAIP data, we will have annual coverage from 2009-2015 for the Snake River from Jackson Lake to Moose. These images, along with field measurements each year beginning in 2010, will provide insight on the more local, shorter-term processes that influence the river's overall sediment budget, particularly at tributary confluences that introduce sediment to the main stem. Another objective of this new grant will be to map the occurrence of in-stream large wood and assess the influence of log jams on patterns and rates of channel change. Field work for this study will commence in June 2015.
Master's student Ryan Richardson has just received a research grant from the Geological Society America to support his field work on the Merced and Tuolumne Rivers in California. Ryan's study involves using hyperspectral image data and LiDAR to characterize potential salmon habitat within these watersheds. He is particularly interested in developing new methods of inferring sediment grain size from image data. This grant will allow him to collect the field data needed to assess the accuracy of his grain size algorithms. Congratulations, Ryan, and have fun in the field!