High-Resolution Elevation Mapping of the Mcmurdo Dry Valleys, Antarctica, and Surrounding Regions

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High-Resolution Elevation Mapping of the Mcmurdo Dry Valleys, Antarctica, and Surrounding Regions Portland State University PDXScholar Geology Faculty Publications and Presentations Geology 7-12-2017 High-Resolution Elevation Mapping of the McMurdo Dry Valleys, Antarctica, and Surrounding Regions Andrew G. Fountain Portland State University, [email protected] Juan C. Fernandez-Diaz University of Houston Maciej K. Obryk Portland State University, [email protected] Joseph Levy University of Texas Michael N. Gooseff University of Colorado, Boulder See next page for additional authors Follow this and additional works at: https://pdxscholar.library.pdx.edu/geology_fac Part of the Geology Commons Let us know how access to this document benefits ou.y Citation Details Fountain, A. G., Fernandez-Diaz, J. C., Obryk, M., Levy, J., Gooseff, M., Van Horn, D. J., ... & Shrestha, R. (2017). High-resolution elevation mapping of the McMurdo Dry Valleys, Antarctica, and surrounding regions. Earth System Science Data, 9(2), 435. This Article is brought to you for free and open access. It has been accepted for inclusion in Geology Faculty Publications and Presentations by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Authors Andrew G. Fountain, Juan C. Fernandez-Diaz, Maciej K. Obryk, Joseph Levy, Michael N. Gooseff, David J. Van Horn, Paul Morin, and Ramesh Shrestha This article is available at PDXScholar: https://pdxscholar.library.pdx.edu/geology_fac/121 Earth Syst. Sci. Data, 9, 435–443, 2017 https://doi.org/10.5194/essd-9-435-2017 © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. High-resolution elevation mapping of the McMurdo Dry Valleys, Antarctica, and surrounding regions Andrew G. Fountain1, Juan C. Fernandez-Diaz2, Maciej Obryk1, Joseph Levy3, Michael Gooseff4, David J. Van Horn5, Paul Morin6, and Ramesh Shrestha2 1Department of Geology Portland State University, Portland, OR 97201, USA 2National Center for Airborne Laser Mapping, University of Houston, Houston, TX 77204, USA 3University of Texas, Institute for Geophysics, Jackson School of Geosciences, Austin, TX 78758, USA 4Institute of Arctic & Alpine Research, University of Colorado, CO Boulder, 80309 5Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA 6Polar Geospatial Center, University of Minnesota, St. Paul, MN 55108, USA Correspondence to: Andrew G. Fountain ([email protected]) Received: 8 December 2016 – Discussion started: 5 January 2017 Revised: 27 May 2017 – Accepted: 29 May 2017 – Published: 12 July 2017 Abstract. We present detailed surface elevation measurements for the McMurdo Dry Valleys, Antarctica de- rived from aerial lidar surveys flown in the austral summer of 2014–2015 as part of an effort to understand geomorphic changes over the past decade. Lidar return density varied from 2 to > 10 returns m−2 with an aver- age of about 5 returns m−2. Vertical and horizontal accuracies are estimated to be 7 and 3 cm, respectively. In addition to our intended targets, other ad hoc regions were also surveyed including the Pegasus flight facility and two regions on Ross Island, McMurdo Station, Scott Base (and surroundings), and the coastal margin between Cape Royds and Cape Evans. These data are included in this report and data release. The combined data are freely available at https://doi.org/10.5069/G9D50JX3. 1 Introduction Denton and Hughes, 2000; Hall et al., 2010). The cold dry environment of the MDV hosts an unusual terrestrial habi- tat dominated by microbial life (Adams et al., 2006; Cary The McMurdo Dry Valleys (MDV) are a polar desert lo- et al., 2010) and serves as a useful terrestrial analogue for ◦ cated along the Ross Sea coast of East Antarctica (∼ 77.5 S, Martian conditions (Kounaves et al., 2010; Levy et al., 2008; ◦ ∼ 162.5 E; Fig. 1). These valleys are not covered by the Samarkin et al., 2010). East Antarctic ice sheet due to the blockage to flow by the Over the last decade the topography of the coastal mar- Transantarctic Mountains and the severe rain shadow caused gins has been changing due to melting of subsurface deposits by these mountains (Chinn, 1981; Fountain et al., 2010). The of massive ice (Bindschadler et al., 2008; Fountain et al., valleys are a mosaic of gravelly sandy soil, glaciers, ice- 2014). For example, the Garwood River in Garwood Val- covered lakes, and ephemeral melt streams that flow from ley has rapidly eroded through ice-cemented permafrost and the glaciers. Permafrost is ubiquitous, with active layers up buried massive ice (Levy et al., 2013) sometime after De- to 75 cm deep (Bockheim et al., 2007). This region is of in- cember 2000. In Taylor Valley, observations in 2014–2015 terest to geologists and biologists. It is one of the few re- along Commonwealth Stream showed a similar erosive be- gions in Antarctica with exposed bedrock from which the havior. Other streams in Taylor Valley, including Crescent, tectonic history of the continent can be explored (Gleadow Lost Seal, and Lawson, have exhibited recent bank under- and Fitzgerald, 1987; Marsh, 2004). The bare landscape also cutting (Gooseff et al., 2016). Over the 50C years of obser- provides evidence for past glaciations, a critical look into the vations these changes are the first of their kind. Also, we past behavior of the Antarctic Ice Sheet (Brook et al., 1993; Published by Copernicus Publications. 436 A. G. Fountain et al.: McMurdo Dry Valley lidar NCALM by Teledyne Optech, Inc., Toronto, Canada. It is the first operational ALS designed to perform mapping us- ing three different wavelengths simultaneously through the same scanning mechanism (Fernandez-Diaz et al., 2016a, b). Two wavelengths are in the near-infrared spectrum (1550 and 1064 nm) and the third is in the visible spectrum (532 nm). This three-wavelength capability enables the Titan MW to map elevations of solid ground (topography) and depths be- low water surface (bathymetry – but not available for reasons described later) simultaneously. This three-channel spectral information can be combined into false-color laser backscat- ter images, which improves the ability to distinguish between types of land cover. The system is mounted under the aircraft, scanning side to side at an angle of up to ±30◦ off nadir, pro- Figure 1. Landsat image mosaic of Antarctica, LIMA (Bind- ducing a sawtooth ground pattern. There are 1064 nm chan- schadler et al., 2008), map of the central McMurdo Dry Valleys with nel points at nadir and 1550 and 532 nm channel point 3.5 locations of UNAVCO fixed Global Positioning System ground sta- and 7◦ forward of nadir, respectively. Each channel can ac- tions. quire up to 300 000 measurements per second. However, the nominal operation pulse repetition rate for the MDV survey have observed glacier thinning where significant sediment was 100 kHz per channel. For some extreme regions where deposits have collected on the surface (Fountain et al., 2014). the terrain relief was extremely high, the Titan MW had to Common to all changes is the occurrence of a relatively be operated at lower pulse rates of 75 and 50 kHz. For each thin veneer of sediment over massive ice. In the case of pulse the Titan only records first, second, third, and last re- ± ◦ the valley floor the sediment veneer is ∼ 10−1 m in thick- turns. The Titan scanner was operated at an angle of 30 ness, whereas on the glaciers it is patchy, with thicknesses and a frequency of 20 Hz. of ∼ 10−3 to 10−2 m. In addition, anecdotal observations The advantage of Titan MW over traditional ALS sys- point to large changes in other stream channels and increas- tems for mapping regions like the MDV where areas of ing roughness and perhaps thinning of the lower elevations soil and snow overlap is the multiple channels at different of some glaciers. wavelengths. A traditional ALS operating at 1550 nm obtains To assess the magnitude and spatial distribution of land- strong returns from the soil surfaces but may have difficulties scape changes, the valleys were surveyed using a high- over ice and snow, which reflect less at that wavelength. The resolution airborne topographic lidar during the austral sum- additional 1064 and 532 nm channels have a better response mer of 2014–2015 and the results were compared to an ear- to snow. Also, three channels collecting data simultaneously lier survey flown in the summer of 2001–2002 (Csatho et al., increases the data density compared to single-channel units. 2005; Schenk et al., 2004). Our working hypothesis is that However, a limitation of the Titan system is the maximum ∼ ≤ landscape change is limited to the coastal thaw zone where range of 2 km. maximum summer temperatures exceed −5 ◦C (Fountain et The second ALS was an Optech Gemini airborne laser ter- al., 2014; Marchant and Head, 2007). Here we summarize rain mapper (ALTM), which served as a backup to the Ti- the field campaign of 2014–2015, data processing, and the tan MW. The Gemini ALTM is a single-channel system that point cloud of elevation data covering about 3300 km2 of the uses 1064 nm laser pulses at repetition frequencies of 33 to ± ◦ MDV, and 264 km2 of areas of interest nearby, all of which 166 kHz and it can scan a swath of up to 25 off nadir. have been made openly available to the research community. While the return densities obtained with the Gemini are lower than those from the Titan MW system, it has the advantage of a longer maximum range of ∼ ≤ 4 km. The Gemini was 2 Approach operated at pulse rate frequency between 70 and 100 kHz, its scanner ran at ±25◦ and a frequency of 35 Hz; its beam In early December 2014, the lidar personnel from the Na- divergence was set at 0.25 milliradians.
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