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Experiences from the post processing of typical Finnish bathymetric data Jarmo Ahonen Shallow Survey 2008 Portsmouth, NH.

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Presentation on theme: "Experiences from the post processing of typical Finnish bathymetric data Jarmo Ahonen Shallow Survey 2008 Portsmouth, NH."— Presentation transcript:

1 Experiences from the post processing of typical Finnish bathymetric data
Jarmo Ahonen Shallow Survey 2008 Portsmouth, NH

2 Agenda Survey vessels and survey environment Workflow Examples
Qinsy Qlucheck Fledermaus CUBE S2Edit Examples Conclusions from our experiences

3 Multibeam vessels M620, M640, Kaiku (SB 8101) Suunta (SB 8111)
Airisto, M249 (SB 7125) M620, M640, Kaiku (SB 8101) Suunta (SB 8111)

4 Single beam vessels M145, M146, M148, M247 (NS 2000) Kieku 2 (NS 110)

5 Mother ship Saaristo

6 ”The most beautiful archipelago in the world”
”The land of the thousands of lakes”

7 Agenda Survey vessels and survey environment Workflow Examples
Qinsy Qlucheck Fledermaus CUBE S2Edit Examples Conclusions from our experiences

8 Workflow Validator Qinsy Online Analyzer Processing Manager Qlucheck
db qpd Analyzer heading/pitch/roll/heave positioning Processing Manager SVP Tide ASCII export Validator depth blocking sector blocking .db .qpd Qlucheck ASCII to FAU .fau S2 Software Contouring Area based analysis/cleaning Data thinning Fledermaus Area Based Cleaning CUBE Unload to fau Qlucheck 15/50 million points/block .fau .fau .s2d Orderer = FMA

9 QINSy Online .db, .qpd QINSy Online Processing Manager Validator
Analyzer Qlucheck Fledermaus Qlucheck S2Edit

10 Analyzer Check the motion sensor data and positioning if notice in the logbook QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

11 Processing Manager Applying Tide and SVP QINSy Online
Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

12 Validator Points flagged by Depth and Sector blocking are not in the next post processing steps Limiting opening angle to avoid bad data QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

13 Processing Manager Export user defined ASCII
Easting, Northing, Depth, Ping ID, Beam ID, Quality QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

14 Qlucheck FMA software Format converter
ASCII to FAU Quality value is needed in importing to Fledermaus brightness and collinearity flags Ping ID and Beam ID is needed in splitting the FAU files QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

15 Fledermaus Custom filters CUBE parameters
Brightness and collinearity flagged points are set to rejected in import CUBE parameters Bin size: 1 m Capture Distance: 5 % of depth Hypothesis resolution algorithm: Number of Samples + Neighborhood Calculate errors using sensor specific error model Area based editing Clean the outliers first QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

16 Shallow edited surface A lot of spikes in the data
QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

17 CUBE edited surface Still some spikes in the data
Selected area in focus in 3D Editor QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

18 <= Set hypothesis to shallowest points
<= Points colored by survey lines Points and hypothesis => <= Set hypothesis to shallowest points QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

19 <= Unedited CUBE surface
<= Raw data <= Unedited CUBE surface Hypothesis set to shallowest points => QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

20 CUBE Filter Filter soundings based on CUBE surface
4x standard deviation QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

21 Qlucheck Split FAU files .S2D file size limit 50 (15) million points
QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

22 S2Edit FMA software Are based editing in 2D/3D Contour view in 2D/3D
Lasso tool Contour view in 2D/3D Point view in 2D/3D Swath view in 2D/3D DTM model view in 2D/3D Numerical view in 2D/3D QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

23 Depth contours give an indication where to focus
Min and max values in 3D Depth contours give an indication where to focus QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

24 Colored by survey lines
Easy to see typical outliers like aquatic vegetation, sonar errors, fishes Overlap areas Colored by survey lines QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

25 Depth contour view Swath view Numerical view
check the suspicious targets check the shallowest areas Swath view check if the target is in the overlapping area Numerical view take a closer look QINSy Online Processing Manager Validator Analyzer Qlucheck Fledermaus Qlucheck S2Edit

26 Agenda Survey vessels and survey environment Workflow Examples
Qinsy Qlucheck Fledermaus CUBE S2Edit Examples Conclusions from our experiences

27 Example 1 Outliers cleaned before CUBE filter (4x std dev.)
Contours are smooth Swath view shows that CUBE filter succeeded

28 Example 2 Outliers not cleaned before CUBE filter (4x std dev.)
Contours are mainly smooth Outlier contours inside the boxes Clear outliers still exists

29 Example 2 SB7125 produces a lot of outliers
Outliers should be cleaned before CUBE filtering

30 Example 3 Shallowest points in the region are the most important points Blue point is shallowest and accepted Red points are rejected CUBE filters also points which are real sea bed FMA does not accept this

31 Conclusions Every post processing software has pros and cons
There are no automatic algorithms that can clean challenging sea beds satisfyingly in Finnish environment SB7125 produces a lot of data and a lot of outliers CUBE reduces manual editing CUBE works better in relatively flat sea bottoms Good work in the survey situation significantly reduces the post processing work

32 Agenda Survey vessels and survey environment Workflow Examples
Qinsy Qlucheck Fledermaus CUBE S2Edit Examples Conclusions from our experiences

33 Thank you! M.Sc. Jarmo Ahonen

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