Airborne lidar detection of an underwater thermal vent

Roddewig, Michael R.; Churnside, James H.; Shaw, Joseph A.

doi:10.1117/1.jrs.11.036014

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Airborne lidar detection of an underwater thermal vent

2017
By Roddewig, Michael R. ; Churnside, James H. ; Shaw, Joseph A.
Source: Journal of Applied Remote Sensing, 11(03), 1

[PDF-2.80 MB]

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Journal Title:

Journal of Applied Remote Sensing
Personal Author:

Roddewig, Michael R. ; Churnside, James H. ; Shaw, Joseph A.

Roddewig, Michael R. ; Churnside, James H. ; Shaw, Joseph A. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) Less -
Description:

We report the lidar detection of an underwater feature that appears to be a thermal vent in Yellowstone Lake, Yellowstone National Park, USA, with the Montana State University Fish Lidar. The location of the detected vent was 30 m from the closest vent identified in a United States Geological Survey of Yellowstone Lake in 2008. A second possible vent is also presented, and the appearance of both vents in the lidar data is compared to descriptions of underwater thermal vents in Yellowstone Lake from the geological literature.
Source:

Journal of Applied Remote Sensing, 11(03), 1
DOI:

https://doi.org/10.1117/1.jrs.11.036014
ISSN:

1931-3195
Format:

pdf
Publisher:

SPIE-Intl Soc Optical Eng
Document Type:

Journal Article
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urn:sha-512:7c5557d67c7403f2c8df6d9bb58d13cb3502801f6dd28b44134d794a37f908eb1152fcb07fd923464a7ef62d761bd34092f3f0a05470c022d235fcbb6ef4706e
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https://staging-noaa.cdc.gov/view/noaa/69043/noaa_69043_DS1.pdf
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Airborne lidar detection of an underwater thermal vent

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