Please use this identifier to cite or link to this item:
Title: PERSEUS ODV QC software
Authors: Ingerov, Andrey 
Khaliulin, Alexey Kh 
Godin, Eugeny A. 
Zhuk, Elena 
Isaeva, Elena 
Gertman, Isaac 
Zodiatis, George 
Nikolaidis, Andreas 
Keywords: PERSEUS;QC flags;QC utility;Quality check
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 1-Apr-2016
Publisher: SPIE
Source: 4th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2016; Paphos; Cyprus; 4 April 2016 through 8 April 2016
DOI: 10.1117/12.2241647
Abstract: The PERSEUS ODV QC Utility has been developed in the framework of the PERSEUS project.[1] The QC Utility implements a QC procedure for ODV files and assigns QC flags to metadata and data values according to the SEADATANET vocabulary L20. The QC procedure results are QC flags in an ODV file and a log file with a list of possible errors. The QC Utility can operate both in the window and console modes. The QC procedure includes a set of metadata and data quality tests. The metadata tests are: location check, date/time (including velocity and chronology) check and sea depth check. The data tests are based on check arrays (climate, statistics, parameter ranges and thresholds for spikes and gradients check) for sub-regions (local) or the entire region (regional). These arrays are assigned to the P02 parameter codes. The P01 codes are not used because of their superfluity (many codes correspond to the same parameter). The P02 vocabulary is more suitable but it does not provide identification of all parameters. The QC Utility gives a possibility of extending the P02 codes list to identify the parameters more correctly. Data tests include sounding value check (including order check), climatic check (if climatic arrays for the parameter are available), statistic check (if statistic arrays for the parameter are available), range check (if ranges for the parameter are available), fixing density inversions for hydrological data, fixing spikes (if corresponding thresholds for the parameter are available), gradient check (if corresponding thresholds for the parameter are available).
ISBN: 978-162841923-8
Rights: © 2016 SPIE.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s) 20

Last Week
Last month
checked on Jun 12, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.