Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Towards automated substrate mapping with low-co...
Search
Daniel Buscombe
March 26, 2015
Science
120
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Towards automated substrate mapping with low-cost sidescan sonar
2nd Multibeam in Rivers Workshop, Flagstaff, AZ
Daniel Buscombe
March 26, 2015
More Decks by Daniel Buscombe
See All by Daniel Buscombe
Mapping echoes: the acoustics of riverbed and shallow seafloors
dbuscombe
0
200
Exploring Sand Dune Scaling Relations in a Canyon River: Colorado River in Grand Canyon
dbuscombe
1
140
Automated substrate characterization using low-cost sidescan sonar
dbuscombe
0
210
Particle Size by Proxy: Decoding the Textural Information in Scattered Sound and Light
dbuscombe
0
110
Structure-from-Motion, Grand Canyon style
dbuscombe
0
190
Particle Size by Proxy: Decoding the Textural Information in Remotely Sensed Landforms
dbuscombe
0
160
Stochasticity of riverbed backscattering, with implications for acoustical classification of non-cohesive sediment using multibeam sonar
dbuscombe
0
120
The Digital Grain Size Web Application
dbuscombe
0
210
Addressing scale dependence in roughness and morphometric statistics derived from point cloud data
dbuscombe
0
66
Other Decks in Science
See All in Science
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
1.9k
データベース04: SQL (1/3) 単純質問 & 集約演算
trycycle
PRO
0
1.6k
「遂行理論の未来」(松島斉教授最終講義記念セッションの発表資料)
shunyanoda
0
970
O(log n)-Approximation Algorithms for Bipartiteness Ratio
tasusu
0
130
データベース09: 実体関連モデル上の一貫性制約
trycycle
PRO
0
1.8k
Build your own LLM, Live, with MicroGPT
ianozsvald
0
120
Physical AIを支えるWeights & Biases
olachinkei
1
520
データベース08: 実体関連モデルとは?
trycycle
PRO
0
1.6k
プロジェクト「Azayaka」のSARの数式とジオメトリ
syuchimu
0
430
機械学習 - 決定木からはじめる機械学習
trycycle
PRO
0
1.6k
Wet Active Matter
rajeshrinet
0
140
データベース12: 正規化(2/2) - データ従属性に基づく正規化
trycycle
PRO
0
1.7k
Featured
See All Featured
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
How to Think Like a Performance Engineer
csswizardry
28
2.7k
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
2.1k
Money Talks: Using Revenue to Get Sh*t Done
nikkihalliwell
0
460
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
73
41k
A better future with KSS
kneath
240
18k
Marketing to machines
jonoalderson
1
5.7k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
2
3.8k
Balancing Empowerment & Direction
lara
6
1.2k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
130k
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