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Towards automated substrate mapping with low-co...
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Daniel Buscombe
March 26, 2015
Science
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100
Towards automated substrate mapping with low-cost sidescan sonar
2nd Multibeam in Rivers Workshop, Flagstaff, AZ
Daniel Buscombe
March 26, 2015
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Transcript
Towards automated substrate mapping with low-cost sidescan sonar Daniel Buscombe,
GCMRC-USGS MBES in Rivers Workshop Flagstaff, AZ, March 2015
None
10cm transducer
Starboard scans Colorado River in Grand Canyon
Penobscot River, Maine
30 miles of Marble Canyon in 2013 30 miles of
Eastern Grand Canyon in 2014 Several reaches in Glen and Marble Canyons repeat mapped 2013 - 2015
None
w = cos (θ) = ℎ For given h, shadow
length w increases as decreases θ = sin Assuming h constant over small window: Step 1: calculate w for each window Step 2: remove bias in w caused by sonar geometry Object height h and shadow length w are related by: w = w π/2 sin−1(c/tf) w = w dx
RM30 Marble Canyon Colorado River Preliminary data – do not
cite
RM61 Marble Canyon Colorado River Preliminary data – do not
cite
Dog River, Mobile May, Alabama. Credit: Allen Aven, Dauphin Island
Sea Lab 200 kHz echosounder: full waveform 1st echo 2nd echo Chap 3.1-3.2, Penrose et al. (2005) “Acoustic Techniques for Seabed Classification” RoxAnn
‘Roughness’ ‘Hardness’ Volume scattering coefficients K=3 means acoustic ‘classes’ Preliminary
data – do not cite
Glen Canyon Substrate/Vegetation Mapping Lasers spaced 9cm
Glen Canyon Vegetation/substrate Mapping ‘Roughness’ ‘Hardness’ 3 acoustic classes Preliminary
data – do not cite
PyHum (Beta) software Collaborations/data welcome!!! https://pypi.python.org/pypi/PyHum pip install PyHum https://github.com/dbuscombe-usgs/PyHum
git clone https://github.com/dbuscombe-usgs/PyHum.git
Thanks! • Paul Grams, Ted Melis, Mike Yard: GCMRC •
Sean Smith: U Maine • Dan Hamill, Joe Wheaton: USU • Allen Avery: Dauphin Island Sea Lab Upper Granite Gorge, Colorado River, May 2014
Upper Marble Canyon, May 2012
None