scholarly journals A Review of Data Cleaning Approaches in a Hydrographic Framework with a Focus on Bathymetric Multibeam Echosounder Datasets

Geosciences ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 254
Author(s):  
Julian Le Deunf ◽  
Nathalie Debese ◽  
Thierry Schmitt ◽  
Romain Billot
Keyword(s):  
Data Processing ◽  
Data Cleaning ◽  
Critical Issue ◽  
Challenging Problem ◽  
Multibeam Echosounder ◽  
Detailed Review ◽  
Bathymetric Data ◽  
Future Developments ◽  
Automatic Methods

Automatic cleaning of MultiBeam EchoSounder (MBES) bathymetric datasets is a critical issue in data processing especially with the objective of nautical charting. A number of approaches have already been investigated in order to provide solution in views of operationally reaching this still challenging problem. This paper aims at providing a comprehensive and structured overview of existing contributions in the literature. For this purpose, a taxonomy is proposed to categorize the whole set of automatic and semi-automatic methods addressing MBES data cleaning. The non-supervised algorithms that compose the majority of the methods developed in the hydrographic field, are mainly described according to both the features of the bathymetric data and the type of outliers to detect. Based on this detailed review, past and future developments are discussed in light of both implementation and test on datasets and metrics used for performances assessment.

scholarly journals A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes

2010 ◽  
Vol 67 (6) ◽  
pp. 1301-1309 ◽  
Author(s):  
George R. Cutter ◽  
Laurent Berger ◽  
David A. Demer
Keyword(s):  
Software Development ◽  
Data Processing ◽  
Bay Of Biscay ◽  
Marine Science ◽  
Dual Use ◽  
Detection Range ◽  
Multibeam Echosounder ◽  
Acoustic Backscattering ◽  
Bathymetric Data ◽  
Phase Data

Abstract Cutter, G. R. Jr, Berger, L., and Demer, D. A. 2010. A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes. – ICES Journal of Marine Science, 67: 1301–1309. The Simrad ME70 multibeam echosounder was designed for quantitative fisheries research and is currently installed on Ifremer's fishery survey vessel (FSV) “Thalassa” and each of the new, quiet, NOAA FSVs. The ME70 has configurable beams and transmits in the range 70–120 kHz to provide calibrated, acoustic-backscattering data throughout the detection range (fisheries mode, FM). With optional hardware and software, the ME70 can also collect soundings that potentially meet International Hydrographic Organization's S–44 Order 1 standards (bathymetric mode, BM). Furthermore, with custom algorithms and software, bathymetric data can be obtained from the ME70 operating in FM, and volume backscatter can be sampled from the ME70 operating in BM. This flexibility allows data to be concurrently collected on fish and their seabed habitat. A method is described for processing the echo amplitude and phase data from multiple split-beams formed in FM to estimate seabed range, slope, and roughness. The resulting bathymetry is compared with that collected with the ME70 operating in BM in the same area of the Bay of Biscay. A proposal is made for software development to facilitate dual-use data processing.

scholarly journals Initial Efforts Toward Coordinated Community Data Processing to Accelerate the Growth of Publicly Available Bathymetric Data Products

2020 ◽  
Author(s):  
Vicki Ferrini ◽  
John Morton ◽  
Lindsay Gee ◽  
Erin Heffron ◽  
Hayley Drennon ◽  
...  
Keyword(s):  
Data Processing ◽  
Bathymetric Data ◽  
Data Products ◽  
Community Data

scholarly journals SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING

2019 ◽  
Vol 25 (4) ◽  
Author(s):  
Italo Oliveira Ferreira ◽  
Afonso de Paula dos Santos ◽  
Júlio César de Oliveira ◽  
Nilcilene das Graças Medeiros ◽  
Paulo César Emiliano
Keyword(s):  
Data Processing ◽  
Detection Algorithm ◽  
Bathymetric Data ◽  
Outliers Detection ◽  
Spatial Outliers

A Case Study in Managing the Analytics “Iceberg”: Data Cleaning and Management using Alteryx

2021 ◽  
Author(s):  
Ann O’Brien ◽  
Dan Stone
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Data Cleaning ◽  
Intermediate Level ◽  
Basic Data ◽  
Accounting Students ◽  
Accounting Systems ◽  
Important Resource ◽  
Management Concepts

This case introduces accounting students to data management using a “no code” approach. Many tools can be used for extract, transform, load (ETL) processes. Herein, we introduce ETL using Alteryx Designer, a market-leading tool for managing and manipulating data. In the case, students learn basic data cleaning and joining skills, explore key data management concepts including workflows and metadata, and learn how to create and document workflows in Alteryx. Undergraduate or graduate accounting students with basic database knowledge (e.g., in an introduction to accounting systems class) and data processing will benefit from the case. Evidence from use suggests that the case is relevant, challenging, and useful for the goal of teaching introductory and intermediate-level ETL skills, using Alteryx. The case is easy to implement and an important resource for teaching data management and Alteryx Designer.

scholarly journals Long term evolution of a dam reservoir subjected to regular flushing events

2014 ◽  
Vol 39 ◽  
pp. 89-94 ◽  
Author(s):  
L. Guertault ◽  
B. Camenen ◽  
C. Peteuil ◽  
A. Paquier
Keyword(s):  
Data Processing ◽  
Morphological Evolution ◽  
Spatial Dynamics ◽  
Dam Reservoir ◽  
Reservoir Sediment ◽  
Volume Calculation ◽  
Bathymetric Data ◽  
Sediment Volume ◽  
Term Evolution

Abstract. An analysis of the long term morphological evolution of the Génissiat reservoir (France) is provided. First, a methodology for bathymetric data processing and reservoir sediment volume budget calculation is described. An estimation of global uncertainties in volume calculation is proposed. The reservoir bathymetric budget for several dam flushing events and interflush periods is presented, showing the global decrease of deposited sediment volume with time. The spatial dynamics of the reservoir subreaches is highlighted and typical patterns in flush and interflush periods are identified.

DIMENSION OF SEAMOUNT USING MULTIBEAM ECHOSOUNDER IN BENGKULU WATERS

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Fahrulian Fahrulian ◽  
Henry Manik ◽  
Djoko Hartoyo
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Sea Level ◽  
Data Visualization ◽  
Mineral Resources ◽  
Major Axis ◽  
Minor Axis ◽  
Multibeam Echosounder ◽  
Acoustic Instruments

The purpose of this research was to determine the dimensions of seamount using echosuonder in Bengkulu waters.  The survey was conducted by BPPT, LIPI, the Ministry of Energy and Mineral Resources, CGGVeritas, and the Institut de Physique du Globe (IPG) Paris in the southwest of the Sumatera island on 18-19 December 2010. Two  acoustic instruments were  used i.e., ELAC Seabeam 1050D with a frequency of 50 kHz and Simrad EM 12D with a frequency of 12 kHz.  Data acquisition was obtained by using the hydrostar software in Baruna Jaya 3 and 4 research vessels. CARIS HIPS and SIPS6.1 softwares were used toprocess the data of bathymetry. Amplitude and backscatter data were obtained by data processing on the MBSystem. Data visualization in 3-D was performed using the Fladermaus 6.2 software (personal license of Djoko Hartoyo). Seamount form was assumed as a cone with an elliptical base to calculate the dimensions. The result showed an under water seamount of 320 Km from the southwest of Bengkulu city at -4°22’9.16’’latitude and 99°25’01.47’’ longitude. The seamount height was ± 3,968 meters and had two peak separated at ± 3,050 meters. Seamount peaks located at ± 1.270 meters below sea level. The major axis was ± 50,240 meters and the minor axis in this seamount was ± 5,644 meters Keywords: seamount dimension, bathymetry, backscattering, Bengkulu Waters

scholarly journals Future Developments in Classification

1979 ◽  
Vol 47 ◽  
pp. 417-434
Author(s):  
A. D. Code
Keyword(s):  
Data Processing ◽  
Spectral Classification ◽  
Future Developments ◽  
New Instrumentation ◽  
Processing Techniques ◽  
The Impact

AbstractFuture advances in spectral classification are considered in terms of the likely effects of the following four factors: 1. observation from space; 2. new instrumentation developments; 3. modern data processing techniques; 4. the impact of new observations and astrophysical theory.

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