{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:21:12Z","timestamp":1766049672806,"version":"build-2065373602"},"reference-count":55,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T00:00:00Z","timestamp":1617926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["109-2121-M-006-001"],"award-info":[{"award-number":["109-2121-M-006-001"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi10040254","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T10:05:21Z","timestamp":1617962721000},"page":"254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Accuracy Comparison on Culvert-Modified Digital Elevation Models of DSMA and BA Methods Using ALS Point Clouds"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4528-6458","authenticated-orcid":false,"given":"Nadeem","family":"Fareed","sequence":"first","affiliation":[{"name":"Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9058-3902","authenticated-orcid":false,"given":"Chi-Kuei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/B978-0-444-53446-0.00018-5","article-title":"Chapter Eighteen\u2014Digital Terrain Models from Airborne Laser Scanning for the Automatic Extraction of Natural and Anthropogenic Linear Structures","volume":"Volume 15","author":"Smith","year":"2011","journal-title":"Developments in Earth Surface Processes"},{"key":"ref_2","first-page":"226","article-title":"Automatic extraction of road features in urban environments using dense ALS data","volume":"64","author":"Riveiro","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.isprsjprs.2018.09.009","article-title":"DEM refinement by low vegetation removal based on the combination of full waveform data and progressive TIN densification","volume":"146","author":"Ma","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1080\/15481603.2018.1457131","article-title":"Effect of flying altitude and pulse repetition frequency on laser scanner penetration rate for digital elevation model generation in a tropical forest","volume":"55","author":"Lee","year":"2018","journal-title":"GIScience Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.geomorph.2017.12.005","article-title":"Extraction of multi-scale landslide morphological features based on local Gi* using airborne LiDAR-derived DEM","volume":"303","author":"Shi","year":"2018","journal-title":"Geomorphology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.measurement.2015.08.008","article-title":"An investigation of DEM generation process based on LiDAR data filtering, decimation, and interpolation methods for an urban area","volume":"75","author":"Polat","year":"2015","journal-title":"Measurement"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.envsoft.2014.04.005","article-title":"What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results?","volume":"58","author":"Yang","year":"2014","journal-title":"Environ. Model. Softw."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Archuleta, C.-A.M., Constance, E.W., Arundel, S.T., Lowe, A.J., Mantey, K.S., and Phillips, L.A. (2017). The National Map Seamless Digital Elevation Model Specifications, US Geological Survey. 11-B9.","DOI":"10.3133\/tm11B9"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Schumann, G.J.-P., and Bates, P. (2020). The Need for a High-Accuracy, Open-Access Global Digital Elevation Model, Frontiers Media SA.","DOI":"10.3389\/978-2-88966-334-7"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"90","DOI":"10.2112\/SI76-009","article-title":"Hydrologic Connectivity: Quantitative Assessments of Hydrologic-Enforced Drainage Structures in an Elevation Model","volume":"76","author":"Poppenga","year":"2016","journal-title":"J. Coast. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1515\/geo-2019-0066","article-title":"Quality assessment of DEM derived from topographic maps for geomorphometric purposes","volume":"11","year":"2019","journal-title":"Open Geosci."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cartwright, J.M., and Diehl, T.H. (2017). Automated Identification of Stream-Channel Geomorphic Features from High-Resolution Digital Elevation Models in West Tennessee Watersheds, US Geological Survey. 2328-0328.","DOI":"10.3133\/sir20165141"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Heidemann, H.K. (2012). Lidar Base Specification, US Geological Survey. 11-B4.","DOI":"10.3133\/tm11B4"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Wang, C.-K., and Fareed, N. (2021). Mapping Drainage Structures Using Airborne Laser Scanning by Incorporating Road Centerline Information. Remote Sens., 13.","DOI":"10.3390\/rs13030463"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12665-020-09057-5","article-title":"GNSS mobile road dam surveying for TanDEM-X correction to improve the database for floodwater modeling in northern Namibia","volume":"79","author":"Arendt","year":"2020","journal-title":"Environ. Earth Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.3390\/ijgi2041136","article-title":"Drainage Structure Datasets and Effects on LiDAR-Derived Surface Flow Modeling","volume":"2","author":"Li","year":"2013","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1111\/jawr.12027","article-title":"Hydrography change detection: The usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography","volume":"49","author":"Poppenga","year":"2013","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3141\/2108-01","article-title":"Culvert Information Management System","volume":"2108","author":"Meegoda","year":"2009","journal-title":"Transp. Res. Rec."},{"key":"ref_19","unstructured":"Ewaskiw, A. (2018). Culvert Installment and Removals, How They Affect Surrounding Habitat and How We Can Improve Our Methods of Maintenance. [Ph.D. Thesis, Lakehead University]."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3141\/2285-01","article-title":"Culvert asset management practices and deterioration modeling","volume":"2285","author":"Salem","year":"2012","journal-title":"Transp. Res. Rec."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1139\/X07-179","article-title":"Landscape-level stream fragmentation caused by hanging culverts along roads in Alberta\u2032s boreal forest","volume":"38","author":"Park","year":"2008","journal-title":"Can. J. For. Res."},{"key":"ref_22","unstructured":"Perrin, J., and Jhaveri, C.S. (2004, January 11\u201313). The economic costs of culvert failures. Proceedings of the Prepared for TRB 2004 Annual Meeting, Washington, DC, USA."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Gassman, S.L., Sasanakul, I., Pierce, C.E., Gheibi, E., Starcher, R., Ovalle, W., and Rahman, M. (2017). Failures of pipe culverts from a 1000-year rainfall event in South Carolina. Geotechnical Frontiers 2017, American Society of Civil Engineers.","DOI":"10.1061\/9780784480441.013"},{"key":"ref_24","unstructured":"Najafi, M. (2008). An Asset Management Approach for Drainage Infrastructure and Culverts, Midwest Regional University Transportation Center, University of Wisconsin."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1177\/0361198106195700102","article-title":"Need for culvert asset management","volume":"1957","author":"Perrin","year":"2006","journal-title":"Transp. Res. Rec."},{"key":"ref_26","unstructured":"Venner, M., and Berger, L. (2014). Culvert Management Case Studies: Vermont, Oregon, Ohio and Los Angeles County, Federal Highway Administration."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s40327-015-0027-1","article-title":"Detection, classification, and mapping of US traffic signs using google street view images for roadway inventory management","volume":"3","author":"Balali","year":"2015","journal-title":"Vis. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1111\/0885-9507.00160","article-title":"A geographic information system (GIS)\u2013based bridge management system","volume":"14","author":"She","year":"1999","journal-title":"Comput. Aided Civ. Infrastruct. Eng."},{"key":"ref_29","unstructured":"Xiong, D., and Floyd, R. (2004). Highway Feature and Characteristics Database Development Using Commercial Remote Sensing Technologies, Combined with Mobile Mapping, GIS and GPS, Oak Ridge National Laboratory."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.paerosci.2015.07.002","article-title":"Airborne laser sensors and integrated systems","volume":"79","author":"Sabatini","year":"2015","journal-title":"Prog. Aerosp. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.rse.2016.08.018","article-title":"Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences","volume":"186","author":"Eitel","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.1002\/esp.3425","article-title":"Improvement of streams hydro-geomorphological assessment using LiDAR DEMs","volume":"38","author":"Biron","year":"2013","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1002\/rra.1523","article-title":"Creating and evaluating digital elevation model-based stream-power map as a stream assessment tool","volume":"28","author":"Ashmore","year":"2012","journal-title":"River Res. Appl."},{"key":"ref_34","unstructured":"Jackson, S. (2013, February 06). Optimized Pit Removal V1. 5.1 Tutorial. Center for Research in Water Resources University of Texas at Austin. Available online: http:\/\/tools.crwr.utexas.edu\/OptimizedPitRemoval\/CRWR%20Tools%20Optimized%20Pit%20Removal.html."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Poppenga, S.K., Worstell, B.B., Stoker, J.M., and Greenlee, S.K. (2010). Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data, US Geological Survey.","DOI":"10.3133\/ofr20105059"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1002\/esp.3888","article-title":"The practice of DEM stream burning revisited","volume":"41","author":"Lindsay","year":"2016","journal-title":"Earth Surface Process. Landf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4660","DOI":"10.1002\/hyp.11385","article-title":"Evaluating preprocessing methods of digital elevation models for hydrological modelling","volume":"31","author":"Lidberg","year":"2017","journal-title":"Hydrol. Process."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/13658816.2014.975715","article-title":"Modelling surface drainage patterns in altered landscapes using LiDAR","volume":"29","author":"Lindsay","year":"2015","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"333","DOI":"10.4296\/cwrj2011-909","article-title":"Using the cartographic depth-to-water index to locate small streams and associated wet areas across landscapes","volume":"37","author":"White","year":"2012","journal-title":"Can. Water Resour. J. Rev. Can. Ressour. Hydr."},{"key":"ref_40","unstructured":"MacFaden, S. (2021, February 06). LandLandcov_NFLLAKELCLU, Available online: http:\/\/maps.vcgi.vermont.gov\/gisdata\/metadata\/LandLandcov_NFLLAKELCLU.xml."},{"key":"ref_41","first-page":"1067","article-title":"ed for a National Lidar Dataset","volume":"74","author":"Stoker","year":"2008","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/B978-0-444-64177-9.00011-4","article-title":"Chapter 11\u2014Zero to a trillion: Advancing Earth surface process studies with open access to high-resolution topography","volume":"Volume 23","author":"Tarolli","year":"2020","journal-title":"Developments in Earth Surface Processes"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Krishnan, S., Crosby, C., Nandigam, V., Phan, M., Cowart, C., Baru, C., and Arrowsmith, R. (2011, January 23\u201325). OpenTopography: A services oriented architecture for community access to LIDAR topography. Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications, Washington, DC, USA.","DOI":"10.1145\/1999320.1999327"},{"key":"ref_44","unstructured":"O\u2019Neil-Dunne, J. (2013). Mapping Impervious Surfaces in the Lake Champlain Basin, Lake Champlain Basin Program Final Report, Technical Report No 76; Lake Champlain Basin Program."},{"key":"ref_45","unstructured":"Commissions, V.R.P. (2021, February 02). TransStructures_BCVOBCIT. Available online: https:\/\/vtculverts.org\/structures."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MC.2010.170","article-title":"Google street view: Capturing the world at street level","volume":"43","author":"Anguelov","year":"2010","journal-title":"Computer"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.1016\/j.jhydrol.2016.07.018","article-title":"Evaluating DEM conditioning techniques, elevation source data, and grid resolution for field-scale hydrological parameter extraction","volume":"540","author":"Woodrow","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_48","unstructured":"Verdin, K.L., and Jenson, S. (1996, January 21\u201326). Development of continental scale DEMs and extraction of hydrographic features. Proceedings of the Third International Conference\/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, USA."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.cageo.2016.07.003","article-title":"Whitebox GAT: A case study in geomorphometric analysis","volume":"95","author":"Lindsay","year":"2016","journal-title":"Comput. Geosci."},{"key":"ref_50","first-page":"23","article-title":"Improving overland flow routing by incorporating ancillary road data into digital elevation models","volume":"3","author":"Duke","year":"2003","journal-title":"J. Spat. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Bettinger, P., Merry, K., and Boston, K. (2020). Chapter 7\u2014Map Development and Generalization. Mapping Human and Natural Systems, Academic Press.","DOI":"10.1016\/B978-0-12-819229-0.00007-5"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1002\/hyp.5964","article-title":"Incorporating ancillary data to refine anthropogenically modified overland flow paths","volume":"20","author":"Duke","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.measurement.2017.03.026","article-title":"Updating highway asset inventory using airborne LiDAR","volume":"104","author":"He","year":"2017","journal-title":"Measurement"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.geomorph.2015.06.047","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","volume":"260","author":"Persendt","year":"2016","journal-title":"Geomorphology"},{"key":"ref_55","first-page":"175","article-title":"Application of LiDAR data for hydrologic assessments of low-gradient coastal watershed drainage characteristics","volume":"5","author":"Amatya","year":"2013","journal-title":"J. Geogr. Inf. Syst."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/4\/254\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:27:39Z","timestamp":1760365659000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/4\/254"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,9]]},"references-count":55,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["ijgi10040254"],"URL":"https:\/\/doi.org\/10.3390\/ijgi10040254","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2021,4,9]]}}}