Accuracy Comparison on Culvert-Modified Digital Elevation Models of DSMA and BA Methods Using ALS Point Clouds

High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, information on the locations of drainage structures (DSs) (...

Full description

Saved in:
Bibliographic Details
Published inISPRS international journal of geo-information Vol. 10; no. 4; p. 254
Main Authors Fareed, Nadeem, Wang, Chi-Kuei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2021
Subjects
Online AccessGet full text
ISSN2220-9964
2220-9964
DOI10.3390/ijgi10040254

Cover

Abstract High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, information on the locations of drainage structures (DSs) (e.g., bridges and culverts) is essential. Nevertheless, DS mapping techniques, whether in connection with the development of new methods or an application setting of existing methods, have always been complicated. Consequently, wide area DS data are rare, making it challenging to produce a culvert-modified DEM in a wide area capacity. Alternatively, the breach algorithm (BA) method is a standard procedure to obtain culvert-modified DEMs in the absence of DS data, solving the problem to some extent. This paper addresses this shortcoming using a newly developed drainage structure mapping algorithm (DSMA) for obtaining a culvert-modified DEM for an area of 36 km2 in Vermont, USA. Benchmark DS data are used as a standard reference to assess the performance of the DSMA method compared to the BA method. A consistent methodological framework is formulated to obtain a culvert-modified DEM using DS data, mapped using the DSMA and resultant culvert-modified DEM is then compared with BA method respectively. The DSs found from the culvert-modified DEMs were reported as true positive (TP), false positive (FP), and false negative (FN). Based on TP, FP, and FN originating from the culvert-modified DEMs of both methods, the evaluation metrics of the false positive rate (FPR) (i.e., the commission error) and false negative rate (FNR) (i.e., the omission error) were computed. Our evaluation showed that the newly developed DSMA-based DS data resulted in an FPR of 0.05 with federal highway authorities (FHWA) roads and 0.12 with non-FHWA roads. The FNR with FHWA roads was 0.07, and with non-FHWA roads, it was 0.38. The BA method showed an FPR of 0.28 with FHWA roads and 0.62 with non-FHWA roads. Similarly, the FNR for the BA method was 0.32 with FHWA roads and 0.61 with non-FHWA roads. The statistics based on the FPR and FNR showed that the DSMA-based culvert-modified DEM was more accurate compared with the BA method, and the formulated framework for producing culvert-modified DEMs using DSMA-based DS data was robust.
AbstractList High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, information on the locations of drainage structures (DSs) (e.g., bridges and culverts) is essential. Nevertheless, DS mapping techniques, whether in connection with the development of new methods or an application setting of existing methods, have always been complicated. Consequently, wide area DS data are rare, making it challenging to produce a culvert-modified DEM in a wide area capacity. Alternatively, the breach algorithm (BA) method is a standard procedure to obtain culvert-modified DEMs in the absence of DS data, solving the problem to some extent. This paper addresses this shortcoming using a newly developed drainage structure mapping algorithm (DSMA) for obtaining a culvert-modified DEM for an area of 36 km2 in Vermont, USA. Benchmark DS data are used as a standard reference to assess the performance of the DSMA method compared to the BA method. A consistent methodological framework is formulated to obtain a culvert-modified DEM using DS data, mapped using the DSMA and resultant culvert-modified DEM is then compared with BA method respectively. The DSs found from the culvert-modified DEMs were reported as true positive (TP), false positive (FP), and false negative (FN). Based on TP, FP, and FN originating from the culvert-modified DEMs of both methods, the evaluation metrics of the false positive rate (FPR) (i.e., the commission error) and false negative rate (FNR) (i.e., the omission error) were computed. Our evaluation showed that the newly developed DSMA-based DS data resulted in an FPR of 0.05 with federal highway authorities (FHWA) roads and 0.12 with non-FHWA roads. The FNR with FHWA roads was 0.07, and with non-FHWA roads, it was 0.38. The BA method showed an FPR of 0.28 with FHWA roads and 0.62 with non-FHWA roads. Similarly, the FNR for the BA method was 0.32 with FHWA roads and 0.61 with non-FHWA roads. The statistics based on the FPR and FNR showed that the DSMA-based culvert-modified DEM was more accurate compared with the BA method, and the formulated framework for producing culvert-modified DEMs using DSMA-based DS data was robust.
High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs for hydrological and geomorphological analysis. To produce a culvert-modified DEM, information on the locations of drainage structures (DSs) (e.g., bridges and culverts) is essential. Nevertheless, DS mapping techniques, whether in connection with the development of new methods or an application setting of existing methods, have always been complicated. Consequently, wide area DS data are rare, making it challenging to produce a culvert-modified DEM in a wide area capacity. Alternatively, the breach algorithm (BA) method is a standard procedure to obtain culvert-modified DEMs in the absence of DS data, solving the problem to some extent. This paper addresses this shortcoming using a newly developed drainage structure mapping algorithm (DSMA) for obtaining a culvert-modified DEM for an area of 36 km² in Vermont, USA. Benchmark DS data are used as a standard reference to assess the performance of the DSMA method compared to the BA method. A consistent methodological framework is formulated to obtain a culvert-modified DEM using DS data, mapped using the DSMA and resultant culvert-modified DEM is then compared with BA method respectively. The DSs found from the culvert-modified DEMs were reported as true positive (TP), false positive (FP), and false negative (FN). Based on TP, FP, and FN originating from the culvert-modified DEMs of both methods, the evaluation metrics of the false positive rate (FPR) (i.e., the commission error) and false negative rate (FNR) (i.e., the omission error) were computed. Our evaluation showed that the newly developed DSMA-based DS data resulted in an FPR of 0.05 with federal highway authorities (FHWA) roads and 0.12 with non-FHWA roads. The FNR with FHWA roads was 0.07, and with non-FHWA roads, it was 0.38. The BA method showed an FPR of 0.28 with FHWA roads and 0.62 with non-FHWA roads. Similarly, the FNR for the BA method was 0.32 with FHWA roads and 0.61 with non-FHWA roads. The statistics based on the FPR and FNR showed that the DSMA-based culvert-modified DEM was more accurate compared with the BA method, and the formulated framework for producing culvert-modified DEMs using DSMA-based DS data was robust.
Author Fareed, Nadeem
Wang, Chi-Kuei
Author_xml – sequence: 1
  givenname: Nadeem
  orcidid: 0000-0002-4528-6458
  surname: Fareed
  fullname: Fareed, Nadeem
– sequence: 2
  givenname: Chi-Kuei
  orcidid: 0000-0002-9058-3902
  surname: Wang
  fullname: Wang, Chi-Kuei
BookMark eNp9kV9rFDEUxQepYK198wMEfPHBsfk3k8njOK1a2EWh9jncyWTWLNlkTTIt--1NXZFSqCGQy8nvHi7nvq5OfPCmqt4S_JExiS_sdmMJxhzThr-oTimluJay5SeP6lfVeUpbXI4krOP4tPK91ksEfUBD2O0h2hQ8KndY3J2JuV6Hyc7WTOjSbmwGh66cuYNsC1K-jEsozOjyZt0j8BP61KO1yT_DlNBtsn6D-tUN-h6sz2hwYZnSm-rlDC6Z87_vWXX7-erH8LVefftyPfSrWnOMc800F0LorpMjJppySg103GDWCjrL0dC2k4BnMAJgIlI3TIyckWYEXDQp2Vl1ffSdAmzVPtodxIMKYNUfIcSNgpitdkYx2WjctZzIFnNqtBQUm3FuZddQYKIpXvXRa_F7ONyDc_8MCVYP2avH2Rf-_ZHfx_BrMSmrnU3aOAfehCUp2gjOGKNNV9B3T9BtWKIvyRSKEcI47Uih6JHSMaQUzax0WcXDDnIE656b4sOTpv8O_RsLNK-I
CitedBy_id crossref_primary_10_3390_rs15194819
crossref_primary_10_3390_su14158977
crossref_primary_10_3390_rs15020483
crossref_primary_10_3390_su132111773
crossref_primary_10_1016_j_earscirev_2022_104191
Cites_doi 10.1002/esp.3888
10.1016/j.measurement.2015.08.008
10.3133/sir20165141
10.3390/ijgi2041136
10.1515/geo-2019-0066
10.3133/tm11B4
10.3141/2108-01
10.1080/15481603.2018.1457131
10.4296/cwrj2011-909
10.1145/1999320.1999327
10.1016/j.measurement.2017.03.026
10.1016/B978-0-444-53446-0.00018-5
10.1016/j.isprsjprs.2018.09.009
10.3389/978-2-88966-334-7
10.1016/j.rse.2016.08.018
10.3141/2285-01
10.1111/0885-9507.00160
10.1139/X07-179
10.3133/tm11B9
10.1016/B978-0-444-64177-9.00011-4
10.1186/s40327-015-0027-1
10.1016/j.jhydrol.2016.07.018
10.1016/j.cageo.2016.07.003
10.3390/rs13030463
10.1109/MC.2010.170
10.1002/esp.3425
10.1016/j.geomorph.2017.12.005
10.2112/SI76-009
10.1002/rra.1523
10.1061/9780784480441.013
10.1002/hyp.11385
10.1002/hyp.5964
10.1016/B978-0-12-819229-0.00007-5
10.1177/0361198106195700102
10.1016/j.paerosci.2015.07.002
10.1111/jawr.12027
10.1016/j.geomorph.2015.06.047
10.1007/s12665-020-09057-5
10.3133/ofr20105059
10.1016/j.envsoft.2014.04.005
10.1080/13658816.2014.975715
ContentType Journal Article
Copyright 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
7SC
7UA
8FD
8FE
8FG
ABJCF
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
FR3
H96
HCIFZ
JQ2
KR7
L.G
L6V
L7M
L~C
L~D
M7S
P5Z
P62
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PTHSS
7S9
L.6
ADTOC
UNPAY
DOA
DOI 10.3390/ijgi10040254
DatabaseName CrossRef
Computer and Information Systems Abstracts
Water Resources Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials
ProQuest Central
Technology Collection (via ProQuest SciTech Premium Collection)
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest SciTech Collection
ProQuest Computer Science Collection
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Engineering Database
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Earth, Atmospheric & Aquatic Science Database
ProQuest One Academic
ProQuest One Academic
ProQuest Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
Engineering Collection
AGRICOLA
AGRICOLA - Academic
Unpaywall for CDI: Periodical Content
Unpaywall
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
Water Resources Abstracts
Environmental Sciences and Pollution Management
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Engineering Collection
Natural Science Collection
ProQuest Central Korea
ProQuest Central (New)
Advanced Technologies Database with Aerospace
Engineering Collection
Advanced Technologies & Aerospace Collection
Civil Engineering Abstracts
Engineering Database
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
ProQuest SciTech Collection
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
ASFA: Aquatic Sciences and Fisheries Abstracts
Materials Science & Engineering Collection
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList Publicly Available Content Database
CrossRef

AGRICOLA
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 3
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geography
Visual Arts
Statistics
EISSN 2220-9964
ExternalDocumentID oai_doaj_org_article_395c0864196042ec9720ebf69852a375
10.3390/ijgi10040254
10_3390_ijgi10040254
GeographicLocations Vermont
United States--US
GeographicLocations_xml – name: Vermont
– name: United States--US
GroupedDBID 5VS
8FE
8FG
8FH
AADQD
AAFWJ
AAHBH
AAYXX
ABJCF
ADBBV
ADMLS
AENEX
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ARAPS
BCNDV
BENPR
BGLVJ
BHPHI
BKSAR
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
IAO
KQ8
L6V
LK5
M7R
M7S
MODMG
M~E
OK1
P62
PCBAR
PHGZM
PHGZT
PIMPY
PQGLB
PROAC
PTHSS
ZBA
7SC
7UA
8FD
ABUWG
AZQEC
C1K
DWQXO
F1W
FR3
H96
JQ2
KR7
L.G
L7M
L~C
L~D
PKEHL
PQEST
PQQKQ
PQUKI
7S9
L.6
PUEGO
ADTOC
IPNFZ
ITC
RIG
UNPAY
ID FETCH-LOGICAL-c400t-3c4777c889b01c2422ea84e03672f9be2689a0fae7aad19c537b4315ba0ae7993
IEDL.DBID UNPAY
ISSN 2220-9964
IngestDate Fri Oct 03 12:50:35 EDT 2025
Sun Oct 26 02:20:36 EDT 2025
Thu Sep 04 17:11:32 EDT 2025
Fri Jul 25 09:53:35 EDT 2025
Thu Oct 16 04:40:16 EDT 2025
Thu Apr 24 22:59:54 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License cc-by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c400t-3c4777c889b01c2422ea84e03672f9be2689a0fae7aad19c537b4315ba0ae7993
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-4528-6458
0000-0002-9058-3902
OpenAccessLink https://proxy.k.utb.cz/login?url=https://www.mdpi.com/2220-9964/10/4/254/pdf?version=1618217322
PQID 2531134281
PQPubID 2032387
ParticipantIDs doaj_primary_oai_doaj_org_article_395c0864196042ec9720ebf69852a375
unpaywall_primary_10_3390_ijgi10040254
proquest_miscellaneous_2574333258
proquest_journals_2531134281
crossref_citationtrail_10_3390_ijgi10040254
crossref_primary_10_3390_ijgi10040254
PublicationCentury 2000
PublicationDate 2021-04-01
PublicationDateYYYYMMDD 2021-04-01
PublicationDate_xml – month: 04
  year: 2021
  text: 2021-04-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle ISPRS international journal of geo-information
PublicationYear 2021
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References Lindsay (ref_49) 2016; 95
Woodrow (ref_47) 2016; 540
ref_14
ref_13
ref_12
Arendt (ref_15) 2020; 79
Tarolli (ref_42) 2020; Volume 23
ref_51
ref_19
Shi (ref_5) 2018; 303
Ashmore (ref_33) 2012; 28
Sabatini (ref_30) 2015; 79
Anguelov (ref_46) 2010; 43
He (ref_53) 2017; 104
Persendt (ref_54) 2016; 260
Poppenga (ref_10) 2016; 76
ref_24
ref_23
ref_22
Poppenga (ref_17) 2013; 49
Amatya (ref_55) 2013; 5
Meegoda (ref_18) 2009; 2108
(ref_11) 2019; 11
ref_29
Perrin (ref_25) 2006; 1957
ref_26
Balali (ref_27) 2015; 3
Smith (ref_1) 2011; Volume 15
White (ref_39) 2012; 37
Duke (ref_52) 2006; 20
Eitel (ref_31) 2016; 186
Biron (ref_32) 2013; 38
ref_35
ref_34
Duke (ref_50) 2003; 3
Yang (ref_7) 2014; 58
Li (ref_16) 2013; 2
She (ref_28) 1999; 14
Ma (ref_3) 2018; 146
Lee (ref_4) 2018; 55
Park (ref_21) 2008; 38
Lidberg (ref_37) 2017; 31
Lindsay (ref_36) 2016; 41
ref_45
ref_44
ref_43
Stoker (ref_41) 2008; 74
ref_40
Lindsay (ref_38) 2015; 29
Salem (ref_20) 2012; 2285
ref_48
ref_9
ref_8
Polat (ref_6) 2015; 75
Riveiro (ref_2) 2018; 64
References_xml – volume: 41
  start-page: 658
  year: 2016
  ident: ref_36
  article-title: The practice of DEM stream burning revisited
  publication-title: Earth Surface Process. Landf.
  doi: 10.1002/esp.3888
– ident: ref_26
– volume: 64
  start-page: 226
  year: 2018
  ident: ref_2
  article-title: Automatic extraction of road features in urban environments using dense ALS data
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 75
  start-page: 50
  year: 2015
  ident: ref_6
  article-title: An investigation of DEM generation process based on LiDAR data filtering, decimation, and interpolation methods for an urban area
  publication-title: Measurement
  doi: 10.1016/j.measurement.2015.08.008
– ident: ref_12
  doi: 10.3133/sir20165141
– volume: 2
  start-page: 1136
  year: 2013
  ident: ref_16
  article-title: Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling
  publication-title: ISPRS Int. J. Geo-Inf.
  doi: 10.3390/ijgi2041136
– volume: 11
  start-page: 843
  year: 2019
  ident: ref_11
  article-title: Quality assessment of DEM derived from topographic maps for geomorphometric purposes
  publication-title: Open Geosci.
  doi: 10.1515/geo-2019-0066
– ident: ref_13
  doi: 10.3133/tm11B4
– volume: 2108
  start-page: 3
  year: 2009
  ident: ref_18
  article-title: Culvert Information Management System
  publication-title: Transp. Res. Rec.
  doi: 10.3141/2108-01
– volume: 55
  start-page: 817
  year: 2018
  ident: ref_4
  article-title: Effect of flying altitude and pulse repetition frequency on laser scanner penetration rate for digital elevation model generation in a tropical forest
  publication-title: GIScience Remote Sens.
  doi: 10.1080/15481603.2018.1457131
– volume: 37
  start-page: 333
  year: 2012
  ident: ref_39
  article-title: Using the cartographic depth-to-water index to locate small streams and associated wet areas across landscapes
  publication-title: Can. Water Resour. J. Rev. Can. Ressour. Hydr.
  doi: 10.4296/cwrj2011-909
– ident: ref_43
  doi: 10.1145/1999320.1999327
– volume: 104
  start-page: 132
  year: 2017
  ident: ref_53
  article-title: Updating highway asset inventory using airborne LiDAR
  publication-title: Measurement
  doi: 10.1016/j.measurement.2017.03.026
– volume: 5
  start-page: 175
  year: 2013
  ident: ref_55
  article-title: Application of LiDAR data for hydrologic assessments of low-gradient coastal watershed drainage characteristics
  publication-title: J. Geogr. Inf. Syst.
– volume: Volume 15
  start-page: 475
  year: 2011
  ident: ref_1
  article-title: Chapter Eighteen—Digital Terrain Models from Airborne Laser Scanning for the Automatic Extraction of Natural and Anthropogenic Linear Structures
  publication-title: Developments in Earth Surface Processes
  doi: 10.1016/B978-0-444-53446-0.00018-5
– ident: ref_48
– volume: 146
  start-page: 260
  year: 2018
  ident: ref_3
  article-title: DEM refinement by low vegetation removal based on the combination of full waveform data and progressive TIN densification
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2018.09.009
– ident: ref_9
  doi: 10.3389/978-2-88966-334-7
– volume: 186
  start-page: 372
  year: 2016
  ident: ref_31
  article-title: Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2016.08.018
– ident: ref_45
– volume: 2285
  start-page: 1
  year: 2012
  ident: ref_20
  article-title: Culvert asset management practices and deterioration modeling
  publication-title: Transp. Res. Rec.
  doi: 10.3141/2285-01
– volume: 14
  start-page: 417
  year: 1999
  ident: ref_28
  article-title: A geographic information system (GIS)–based bridge management system
  publication-title: Comput. Aided Civ. Infrastruct. Eng.
  doi: 10.1111/0885-9507.00160
– volume: 38
  start-page: 566
  year: 2008
  ident: ref_21
  article-title: Landscape-level stream fragmentation caused by hanging culverts along roads in Alberta′s boreal forest
  publication-title: Can. J. For. Res.
  doi: 10.1139/X07-179
– ident: ref_8
  doi: 10.3133/tm11B9
– volume: 74
  start-page: 1067
  year: 2008
  ident: ref_41
  article-title: ed for a National Lidar Dataset
  publication-title: Photogramm. Eng. Remote Sens.
– volume: Volume 23
  start-page: 317
  year: 2020
  ident: ref_42
  article-title: Chapter 11—Zero to a trillion: Advancing Earth surface process studies with open access to high-resolution topography
  publication-title: Developments in Earth Surface Processes
  doi: 10.1016/B978-0-444-64177-9.00011-4
– volume: 3
  start-page: 15
  year: 2015
  ident: ref_27
  article-title: Detection, classification, and mapping of US traffic signs using google street view images for roadway inventory management
  publication-title: Vis. Eng.
  doi: 10.1186/s40327-015-0027-1
– ident: ref_24
– volume: 540
  start-page: 1022
  year: 2016
  ident: ref_47
  article-title: Evaluating DEM conditioning techniques, elevation source data, and grid resolution for field-scale hydrological parameter extraction
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2016.07.018
– volume: 95
  start-page: 75
  year: 2016
  ident: ref_49
  article-title: Whitebox GAT: A case study in geomorphometric analysis
  publication-title: Comput. Geosci.
  doi: 10.1016/j.cageo.2016.07.003
– ident: ref_34
– ident: ref_14
  doi: 10.3390/rs13030463
– volume: 43
  start-page: 32
  year: 2010
  ident: ref_46
  article-title: Google street view: Capturing the world at street level
  publication-title: Computer
  doi: 10.1109/MC.2010.170
– volume: 38
  start-page: 1808
  year: 2013
  ident: ref_32
  article-title: Improvement of streams hydro-geomorphological assessment using LiDAR DEMs
  publication-title: Earth Surf. Process. Landf.
  doi: 10.1002/esp.3425
– volume: 303
  start-page: 229
  year: 2018
  ident: ref_5
  article-title: Extraction of multi-scale landslide morphological features based on local Gi* using airborne LiDAR-derived DEM
  publication-title: Geomorphology
  doi: 10.1016/j.geomorph.2017.12.005
– ident: ref_40
– volume: 76
  start-page: 90
  year: 2016
  ident: ref_10
  article-title: Hydrologic Connectivity: Quantitative Assessments of Hydrologic-Enforced Drainage Structures in an Elevation Model
  publication-title: J. Coast. Res.
  doi: 10.2112/SI76-009
– volume: 28
  start-page: 1394
  year: 2012
  ident: ref_33
  article-title: Creating and evaluating digital elevation model-based stream-power map as a stream assessment tool
  publication-title: River Res. Appl.
  doi: 10.1002/rra.1523
– ident: ref_23
  doi: 10.1061/9780784480441.013
– ident: ref_44
– volume: 31
  start-page: 4660
  year: 2017
  ident: ref_37
  article-title: Evaluating preprocessing methods of digital elevation models for hydrological modelling
  publication-title: Hydrol. Process.
  doi: 10.1002/hyp.11385
– volume: 20
  start-page: 1827
  year: 2006
  ident: ref_52
  article-title: Incorporating ancillary data to refine anthropogenically modified overland flow paths
  publication-title: Hydrol. Process.
  doi: 10.1002/hyp.5964
– volume: 3
  start-page: 23
  year: 2003
  ident: ref_50
  article-title: Improving overland flow routing by incorporating ancillary road data into digital elevation models
  publication-title: J. Spat. Hydrol.
– ident: ref_51
  doi: 10.1016/B978-0-12-819229-0.00007-5
– volume: 1957
  start-page: 8
  year: 2006
  ident: ref_25
  article-title: Need for culvert asset management
  publication-title: Transp. Res. Rec.
  doi: 10.1177/0361198106195700102
– ident: ref_29
– ident: ref_19
– volume: 79
  start-page: 15
  year: 2015
  ident: ref_30
  article-title: Airborne laser sensors and integrated systems
  publication-title: Prog. Aerosp. Sci.
  doi: 10.1016/j.paerosci.2015.07.002
– volume: 49
  start-page: 371
  year: 2013
  ident: ref_17
  article-title: Hydrography change detection: The usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography
  publication-title: J. Am. Water Resour. Assoc.
  doi: 10.1111/jawr.12027
– ident: ref_22
– volume: 260
  start-page: 32
  year: 2016
  ident: ref_54
  article-title: Assessment of drainage network extractions in a low-relief area of the Cuvelai Basin (Namibia) from multiple sources: LiDAR, topographic maps, and digital aerial orthophotographs
  publication-title: Geomorphology
  doi: 10.1016/j.geomorph.2015.06.047
– volume: 79
  start-page: 1
  year: 2020
  ident: ref_15
  article-title: GNSS mobile road dam surveying for TanDEM-X correction to improve the database for floodwater modeling in northern Namibia
  publication-title: Environ. Earth Sci.
  doi: 10.1007/s12665-020-09057-5
– ident: ref_35
  doi: 10.3133/ofr20105059
– volume: 58
  start-page: 48
  year: 2014
  ident: ref_7
  article-title: What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results?
  publication-title: Environ. Model. Softw.
  doi: 10.1016/j.envsoft.2014.04.005
– volume: 29
  start-page: 397
  year: 2015
  ident: ref_38
  article-title: Modelling surface drainage patterns in altered landscapes using LiDAR
  publication-title: Int. J. Geogr. Inf. Sci.
  doi: 10.1080/13658816.2014.975715
SSID ssj0000913840
Score 2.221614
Snippet High-resolution digital elevation models (HR-DEMs) originating from airborne laser scanning (ALS) point clouds must be transformed into Culvert-modified DEMs...
SourceID doaj
unpaywall
proquest
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 254
SubjectTerms Accuracy
Airborne lasers
Algorithms
ALS point clouds
Automation
breaching algorithm
bridge
Bridges
culvert
Culverts
Data
Datasets
Digital Elevation Models
Drainage
DSMA
Earth science
Evaluation
Geomorphology
Hydrology
Jurisdiction
Lasers
Mapping
Methods
Model accuracy
Online data bases
Performance assessment
Roads & highways
spatial data
Statistical analysis
Statistical methods
statistics
Three dimensional models
Vermont
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ba9YwFA-yy_QgOhWrUyKoFylrk6ZJjt23jSF-IszJbiVJk61S2rG2jO-_30valW8H9SL0lL5DyHvJ-7325fdD6KPwOFdWacyUyeLM5CwW2rnYMgPJgGsmghbB-nt-ep59vWAXW1JfvidsogeeFu6ASmYAdmepZxEh1khOEqtdLgUjivLAXpoIuVVMhTNYphRKl6nTnUJdf1D_vqw9O5q__f0gBwWq_gf4cndsr9XmVjXNVqo5eYaezhgRF9PcnqNHtt1Du7Nc-dVmDz35VffjZNG_QG1hzHijzAavFlFBDM_U9TzE666qHSBNfFRfeokQfNzY6UMs9kpoTY87h4_O1gVWbYUPC7wOqtI9Du0EuPh2hn90dTvgVdONVf8SnZ8c_1ydxrOMQmxggw4xNRnn3AghdZIaSMnEKpFZSF2cOKktyYVUiVOWK1Wl0jDKNcAKplUCY4BfXqGdtmvta4Sp07CCwuW5lBlxRHOdGieEzimkfm4j9OV-YUszc4x7qYumhFrDu6HcdkOEPi3W1xO3xh_sDr2PFhvPiB0GIE7KOU7Kf8VJhPbvPVzO27QvCZxAKYUKLI3Qh-U1bDD_10S1thu9DYAsSgkTEfq8RMZfJ_zmf0z4LXpMfP9M6BLaRzvDzWjfAQAa9PsQ63fb9_2c
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3Pb9MwFLZGdxgcEAzQwgYyEnBB0Ro7ju0DQmnXaUK0mhhDu0W2Y5egKOmaRKj_PXZ-sR2YlJPzpER-z36f7efvA-A9cziXp4FPhAr9UEXEZ9IYXxNlkwGVhLVaBMtVdHEdfr0hN3tgNdyFcWWVw5zYTtRpqdwe-SmywRJgC5aDL5tb36lGudPVQUJD9NIK6eeWYuwR2EeOGWsC9meL1eX3cdfFsWDaJU1XAY_tev80-73OHGuauxV-Lze1FP73cOdBU2zE7o_I8zsp6PwZeNpjRxh3zn4O9nRxCA56GfNfu0Pw5GdWNZ1F9QIUsVLNVqgdnI9ig9A-XTV07S_LNDMWgcKzbO2kQ-Ai190GLXQKaXkFSwPPrpYxFEUKZzFctmrTFWzLDGD87QpelllRw3leNmn1ElyfL37ML_xeXsFXduDWPlYhpVQxxuU0UDZVIy1YqG1Ko8hwqVHEuJgaoakQacAVwVRauEGkmNo2i2tegUlRFvoIQGyk7UFmoojzEBkkqQyUYUxG2EICqj3waejYRPXc404CI0_sGsS5IbnrBg98GK03HefGf-xmzkejjWPKbhvK7TrpB16COVF22RYGjoUGacUpmmppIs4IEpgSD5wMHk764Vsl_4LNA-_G13bgudMUUeiycTYWfGGMCPPAxzEyHvzh1w9_6xg8Rq5ipq0LOgGTetvoNxby1PJtH8d_AXO3_S8
  priority: 102
  providerName: ProQuest
Title Accuracy Comparison on Culvert-Modified Digital Elevation Models of DSMA and BA Methods Using ALS Point Clouds
URI https://www.proquest.com/docview/2531134281
https://www.proquest.com/docview/2574333258
https://www.mdpi.com/2220-9964/10/4/254/pdf?version=1618217322
https://doaj.org/article/395c0864196042ec9720ebf69852a375
UnpaywallVersion publishedVersion
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAFT
  databaseName: Open Access Digital Library
  customDbUrl:
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: KQ8
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html
  providerName: Colorado Alliance of Research Libraries
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: DOA
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVEBS
  databaseName: Inspec with Full Text
  customDbUrl:
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: ADMLS
  dateStart: 20120901
  isFulltext: true
  titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text
  providerName: EBSCOhost
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: M~E
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: BENPR
  dateStart: 20120301
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Technology Collection
  customDbUrl:
  eissn: 2220-9964
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0000913840
  issn: 2220-9964
  databaseCode: 8FG
  dateStart: 20120301
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/technologycollection1
  providerName: ProQuest
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fj5NAEN547cPpgz9OL_Y8mzVRXwzXsrCwPBnaa70Y2zSeNecT2V12Kx6BpoCm_vXOAm3uTDTGhKdlCJCZ2flmGOZD6CUzODeIbYty6Vqu9KjFhNaWohKCgS8oq7kIZnPvYum-v6JXbcGtaNsqIRVP6k0aYtfQAkDugm8P3AHkMoN1rN9-bytJZtY73AlM8gB1PQpYvIO6y_ki_GIY5XbXNt3uDuT2g-TbKjET0swf4LfiUD2u_xbGPKyyNd_-4Gl6I9xMH6Bo96BNl8n1WVWKM_nztxmO__8mD9H9FonisDGdR-iOyo7QYUuK_nV7hO59ToqqkSgeoyyUstpwucXjPXUhhqPprS6tWR4nGvAsPk9WhogET1LVlHux4VtLC5xrfH45CzHPYjwK8azmri5w3bSAww-XeJEnWYnHaV7FxRO0nE4-jS-slqzBkrANlJYjXd_3JWOBGNoSAj9RnLkKAqRPdCAU8VjAh5orn_PYDiR1fAHghQo-hDVASceok-WZeoqwowXoiGnPCwKXaCJ8YUvNmPAcABi-6qE3O9VFsp1kbgg10ggyGqPo6Kaie-jVXnrdTPD4g9zIWMFexszdrhfyzSpq3ThyAiohCXRtM9OGKBn4ZKiE9gJGCXd82kOnOxuK2s2giAjsc7YDeZ7dQy_2p8GNzbcZnqm8MjIA5RyHUNZDr_e299cHPvlXwWfoLjGdOHW_0SnqlJtKPQcoVYo-OmDTd33UHU3mi4_9uiDRb33oFz5GGCA
linkProvider Unpaywall
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Nb9MwFLem7VA4IBggCgOMxLigaI0dx_ZhQv2aOtZWE9vQbsF27BIUJaVpNPWf42_DTtKwHdhtUk7OkxL5Pb8P-_n3A-Ajc3kuj32PCBV4gQqJx6QxnibKBgMqCau4CGbzcHIVfL0m1zvgz_YujGur3PrEylHHuXJ75EfIGouPbbLsf1n-9hxrlDtd3VJoiIZaIT6uIMaaix1nenNjS7ji-HRk9X2I0Mn4cjjxGpYBT1n7XXtYBZRSxRiXPV_ZiIW0YIG2np0iw6VGIeOiZ4SmQsQ-VwRTaaMukaJnx7gDY7IhYC_AAbfF395gPD__1u7yONRNW0LVHfcY895R8muROJQ2dwv9TiysKAPu5LmdMluKzY1I01sh7-QpeNLkqrBfG9czsKOzfdBpaNN_bvbB4-9JUdYSxXOQ9ZUqV0Jt4LAlN4T2qbuv194sjxNjM144ShaOqgSOU11vCEPHyJYWMDdwdDHrQ5HFcNCHs4rduoBVWwPsTy_geZ5kazhM8zIuXoCrB5nol2A3yzP9CkBspJ1BZsKQ8wAZJKn0lWFMhtimIFR3weftxEaqwTp3lBtpZGsep4bothq64LCVXtYYH_-RGzgdtTIOmbsayFeLqFnoEeZE2TIx8B3qDdKKU9TT0oScESQwJV1wsNVw1LiLIvpn3F3woX1tF7o7vRGZzksnY5M9jBFhXfCptYx7f_j1_d96DzqTy9k0mp7Oz96AR8h161Q9SQdgd70q9Vubbq3lu8amIfjx0MvoL5sHOZY
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pb9MwFLamITE4IBggOgYYiXFBURs7ie0DQl27srF1mjSGdgu2Y5dMUVKaRlP_Nf46npM0bAd2m5ST86REfj9tP38fQh-4q3NF4nuh1IEX6Cj0uLLWM6GGZMBUyGsugulpdHgRfLsMLzfQn_VdGNdWuY6JdaBOCu32yPsEjMWnUCz7fdu2RZyNJ1_mvz3HIOVOWtd0Go2JHJvVNSzfys9HY9D1HiGTg--jQ69lGPA02O7SozpgjGnOhRr4GrIVMZIHBqI6I1YoQyIu5MBKw6RMfKFDyhRk3FDJAYwJB8QE4f8Bcyju7pb65Gu3v-PwNmHx1PTaUyoG_fRqljp8Nnf__FYWrMkCblW4W1U-l6trmWU3kt3kKXrSVql42JjVM7Rh8m201RKm_1pto8c_0rJqJMrnKB9qXS2kXuFRR2uI4Wn6rpfetEhSC7UuHqczR1KCDzLTbAVjx8WWlbiweHw-HWKZJ3h_iKc1r3WJ64YGPDw5x2dFmi_xKCuqpHyBLu5lml-izbzIzSuEqVUwg9xGkRABsUQx5WvLuYooFB_M9NCn9cTGukU5d2QbWQyrHaeG-KYaemivk5436B7_kdt3OupkHCZ3PVAsZnHr4jEVoYYFYuA7vBtitGBkYJSNBA-JpCzsod21huM2UJTxP7Puoffda3Bxd24jc1NUTgbKPEpJyHvoY2cZd_7wzt3feocegvPEJ0enx6_RI-LadOpmpF20uVxU5g3UWUv1tjZojH7etwf9BfylNzA
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Nb5RAFJ_o9lA9-FFtRKsZE_Vi6MLAMMPJ0G2bxrhNk7qmnsjMMLOiBDYLaNa_3jfAktZEY0w4DY8AeV-_NzzeD6FX3OLcOPNdKlTohiqiLpfGuJoqSAZMUt5xEczPo7NF-P6KXg0bbvXQVgmleN4FachdnguAPATfnoZTqGWmq8y8-z7sJNlZ73AnMMnbaCeigMUnaGdxfpF8toxy22v7bvcAavtp_nWZ2wlp9g_wG3moG9d_A2PutuVKbH6IoriWbk7vo3T7oH2XybfDtpGH6udvMxz__00eoHsDEsVJbzoP0S1d7qHdgRT9y2YP3f2U120vUT9CZaJUuxZqg2cjdSGGo--tbtx5leUG8Cw-zpeWiASfFLrf7sWWb62ocWXw8eU8waLM8FGC5x13dY27pgWcfLjEF1VeNnhWVG1WP0aL05OPszN3IGtwFYSBxg1UyBhTnMfS8xUkfqIFDzUkSEZMLDWJeCw8IzQTIvNjRQMmAbxQKTxYA5S0jyZlVeonCAdGgo64iaI4DokhkklfGc5lFADAYNpBb7eqS9UwydwSahQpVDRW0el1RTvo9Si96id4_EHuyFrBKGPnbncL1XqZDm6cBjFVUASGvp1pQ7SKGfG0NFHMKREBow462NpQOgSDOiUQ5_wA6jzfQS_H0-DG9tuMKHXVWhmAckFAKHfQm9H2_vrAT_9V8Bm6Q2wnTtdvdIAmzbrVzwFKNfLF4C-_AIbGFKs
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Accuracy+Comparison+on+Culvert-Modified+Digital+Elevation+Models+of+DSMA+and+BA+Methods+Using+ALS+Point+Clouds&rft.jtitle=ISPRS+international+journal+of+geo-information&rft.au=Fareed%2C+Nadeem&rft.au=Wang%2C+Chi-Kuei&rft.date=2021-04-01&rft.issn=2220-9964&rft.eissn=2220-9964&rft.volume=10&rft.issue=4&rft.spage=254&rft_id=info:doi/10.3390%2Fijgi10040254&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_ijgi10040254
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2220-9964&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2220-9964&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2220-9964&client=summon