{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T01:14:06Z","timestamp":1728177246477},"reference-count":47,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T00:00:00Z","timestamp":1672444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"United States Department of Commerce\u2014National Oceanic and Atmospheric Administration","award":["NA18NOS400198"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"Coastal dune environments play a critical role in protecting coastal areas from damage associated with flooding and excessive erosion. Therefore, monitoring the morphology of dunes is an important coastal management operation. Traditional ground-based survey methods are time-consuming, and data must be interpolated over large areas, thus limiting the ability to assess small-scale details. High-resolution uncrewed aerial vehicle (UAV) photogrammetry allows one to rapidly monitor coastal dune elevations at a fine scale and assess the vulnerability of coastal zones. However, photogrammetric methods are unable to map ground elevations beneath vegetation and only provide elevations for bare sand areas. This drawback is significant as vegetated areas play a key role in the development of dune morphology. To provide a complete digital terrain model for a coastal dune environment at Topsail Hill Preserve in Florida\u2019s panhandle, we employed a UAV, equipped with a laser scanner and a high-resolution camera. Along with the UAV survey, we conducted a RTK\u2013GNSS ground survey of 526 checkpoints within the survey area to serve as training\/testing data for various machine-learning regression models to predict the ground elevation. Our results indicate that a UAV\u2013LIDAR point cloud, coupled with a genetic algorithm provided the most accurate estimate for ground elevation (mean absolute error \u00b1 root mean square error, MAE\u00a0\u00b1\u00a0RMSE = 7.64 \u00b1 9.86 cm).<\/jats:p>","DOI":"10.3390\/rs15010226","type":"journal-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T07:44:03Z","timestamp":1672645443000},"page":"226","source":"Crossref","is-referenced-by-count":5,"title":["Estimating Ground Elevation in Coastal Dunes from High-Resolution UAV-LIDAR Point Clouds and Photogrammetry"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-6334-5792","authenticated-orcid":false,"given":"Daniele","family":"Pinton","sequence":"first","affiliation":[{"name":"Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USA"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3264-3169","authenticated-orcid":false,"given":"Alberto","family":"Canestrelli","sequence":"additional","affiliation":[{"name":"Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Robert","family":"Moon","sequence":"additional","affiliation":[{"name":"School of Forest Resourced and Conservation, University of Florida, Gainesville, FL 32611, USA"}]},{"given":"Benjamin","family":"Wilkinson","sequence":"additional","affiliation":[{"name":"School of Forest Resourced and Conservation, University of Florida, Gainesville, FL 32611, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.geomorph.2007.12.007","article-title":"Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms","volume":"100","author":"Houser","year":"2008","journal-title":"Geomorphology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0140-1963(18)30684-0","article-title":"Ecology of coastal dune fauna","volume":"21","author":"McLachlan","year":"1991","journal-title":"J. Arid Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/s10841-006-6287-2","article-title":"Habitat use and mobility of two threatened coastal dune insects: Implications for conservation","volume":"10","author":"Maes","year":"2006","journal-title":"J. Insect Conserv."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1007\/s11852-014-0353-9","article-title":"Disappearing coastal dunes: Tourism development and future challenges, a case-study from Ravenna, Italy","volume":"19","author":"Sytnik","year":"2015","journal-title":"J. Coast. Conserv."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez, M.L., Psuty, N.P., and Lubke, R.A. (2008). A Perspective on Coastal Dunes. Coastal Dunes. Ecological Studies, Springer.","DOI":"10.1007\/978-3-540-74002-5_1"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.rse.2016.03.031","article-title":"Continuous monitoring of coastline dynamics in western Florida with a 30-year time series of Landsat imagery","volume":"179","author":"Li","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s11852-007-0004-5","article-title":"Implications of sea level rise for coastal dune habitat conservation in Wales, UK","volume":"11","author":"Saye","year":"2007","journal-title":"J. Coast. Conserv."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2167","DOI":"10.1002\/esp.4382","article-title":"Geomorphological changes in an arid transgressive coastal dune field due to natural processes and human impacts","volume":"43","author":"Hesp","year":"2018","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_9","unstructured":"Church, J.A., Clark, P.U., Cazenave, A., Gregory, J.M., Jevrejeva, S., Levermann, A., Merrifield, M.A., Milne, G.A., Nerem, R.S., and Nunn, P.D. (2013). Sea Level Change. Climate Change 2013: The Physical Science Basis, Cambridge University Press. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change."},{"key":"ref_10","first-page":"1","article-title":"Beaches and vegetation-line changes at Galveston Island, Texas: Erosion, deposition, and recovery from Hurricane Alicia","volume":"85","author":"Morton","year":"1985","journal-title":"Bur. Econ. Geol. Geol. Circ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.margeo.2014.07.013","article-title":"Modelling storm-induced beach\/dune evolution: Sefton coast, Liverpool Bay, UK","volume":"357","author":"Dissanayake","year":"2014","journal-title":"Mar. Geol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Cohn, N., Hoonhout, B.M., Goldstein, E.B., de Vries, S., Moore, L.J., Vinent, O.D., and Ruggiero, P. (2019). Exploring marine and aeolian controls on coastal foredune growth using a coupled numerical model. J. Mar. Sci. Eng., 7.","DOI":"10.3390\/jmse7010013"},{"key":"ref_13","unstructured":"Gross, M.F., Hardisky, M.A., and Klemas, V. (1989). Applications to coastal wetlands vegetation. Theory and Applications of Optical Remote Sensing, John Wiley & Sons."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Pinton, D., Canestrelli, A., and Fantuzzi, L. (2020). A UAV-based dye-tracking technique to measure surface velocities over tidal channels and salt marshes. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8050364"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Hartley, R.J.L., Leonardo, E.M., Massam, P., Watt, M.S., Estarija, H.J., Wright, L., Melia, N., and Pearse, G.D. (2020). An assessment of high-density UAV point clouds for the measurement of young forestry trials. Remote Sens., 12.","DOI":"10.3390\/rs12244039"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wang, J., Liu, Z., Yu, H., and Li, F. (2017). Mapping Spartina alterniflora biomass using LiDAR and hyperspectral data. Remote Sens., 9.","DOI":"10.3390\/rs9060589"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"589","DOI":"10.5194\/isprs-archives-XLII-2-W13-589-2019","article-title":"Comparison of uav lidar and imagery for beach monitoring","volume":"42","author":"Shaw","year":"2019","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Lin, Y.C., Cheng, Y.T., Zhou, T., Ravi, R., Hasheminasab, S.M., Flatt, J.E., Troy, C., and Habib, A. (2019). Evaluation of UAV LiDAR for mapping coastal environments. Remote Sens., 11.","DOI":"10.3390\/rs11242893"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2018.02.008","article-title":"Coincident beach surveys using UAS, vehicle mounted and airborne laser scanner: Point cloud inter-comparison and effects of surface type heterogeneity on elevation accuracies","volume":"208","author":"Elsner","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Pinton, D., Canestrelli, A., Wilkinson, B., Ifju, P., and Ortega, A. (2021). Estimating ground elevation and vegetation characteristics in coastal salt marshes using uav-based lidar and digital aerial photogrammetry. Remote Sens., 13.","DOI":"10.3390\/rs13224506"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3687","DOI":"10.1002\/esp.4992","article-title":"A new algorithm for estimating ground elevation and vegetation characteristics in coastal salt marshes from high-resolution UAV-based LiDAR point clouds","volume":"45","author":"Pinton","year":"2020","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"DiGiacomo, A.E., Bird, C.N., Pan, V.G., Dobroski, K., Atkins-Davis, C., Johnston, D.W., and Ridge, J.T. (2020). Modeling salt marsh vegetation height using unoccupied aircraft systems and structure from motion. Remote Sens., 12.","DOI":"10.3390\/rs12142333"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Wang, D., Xin, X., Shao, Q., Brolly, M., Zhu, Z., and Chen, J. (2017). Modeling aboveground biomass in Hulunber grassland ecosystem by using unmanned aerial vehicle discrete lidar. Sensors, 17.","DOI":"10.3390\/s17010180"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Cao, L., Liu, H., Fu, X., Zhang, Z., Shen, X., and Ruan, H. (2019). Comparison of UAV LiDAR and digital aerial photogrammetry point clouds for estimating forest structural attributes in subtropical planted forests. Forests, 10.","DOI":"10.3390\/f10020145"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.3390\/rs4061519","article-title":"Development of a UAV-LiDAR system with application to forest inventory","volume":"4","author":"Wallace","year":"2012","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1002\/esp.3787","article-title":"Assessing the performance of structure-from-motion photogrammetry and terrestrial LiDAR for reconstructing soil surface microtopography of naturally vegetated plots","volume":"41","author":"Nouwakpo","year":"2016","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2017.06.023","article-title":"Structure from motion will revolutionize analyses of tidal wetland landscapes","volume":"199","author":"Kalacska","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.geomorph.2015.02.021","article-title":"A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology","volume":"242","author":"Gomez","year":"2015","journal-title":"Geomorphology"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.compag.2018.10.005","article-title":"Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture","volume":"155","author":"Comba","year":"2018","journal-title":"Comput. Electron. Agric."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.rse.2016.05.019","article-title":"Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry","volume":"183","author":"Cunliffe","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"7538","DOI":"10.1080\/01431161.2019.1591651","article-title":"Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation","volume":"40","author":"Fawcett","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s00367-020-00638-8","article-title":"Accuracy of sand beach topography surveying by drones and photogrammetry","volume":"40","author":"Casella","year":"2020","journal-title":"Geo-Mar. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"163","DOI":"10.2112\/SI95-032.1","article-title":"Coastal Dune Morphology Evolution Combining Lidar and UAV Surveys, Truc Vert beach 2011\u20132019","volume":"95","author":"Castelle","year":"2020","journal-title":"J. Coast. Res."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.isprsjprs.2015.02.009","article-title":"UAV photogrammetry for topographic monitoring of coastal areas","volume":"104","author":"Henriques","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_35","first-page":"110","article-title":"DEM Generation from Laser Scanner Data Using adaptive TIN Models","volume":"23","author":"Axelsson","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"175","DOI":"10.14358\/PERS.73.2.175","article-title":"Filtering airborne laser scanning data with morphological methods","volume":"73","author":"Chen","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.geomorph.2018.12.013","article-title":"3D mapping efficacy of a drone and terrestrial laser scanner over a temperate beach-dune zone","volume":"328","author":"Jackson","year":"2019","journal-title":"Geomorphology"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"6880","DOI":"10.3390\/rs5126880","article-title":"Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments","volume":"5","author":"Mancini","year":"2013","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s11852-018-0671-4","article-title":"A compendium of Coastal Dune Lakes in Northwest Florida","volume":"23","author":"VanTassel","year":"2018","journal-title":"J. Coast. Conserv."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Miller, D., Thetford, M., Verlinde, C., Campbell, G., and Smith, A. (2018). Dune Restoration and Enhancement, Department of Wildlife Ecology and Conservation.","DOI":"10.32473\/edis-sg156-2018"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Wilkinson, B., Lassiter, H.A., Abd-Elrahman, A., Carthy, R.R., Ifju, P., Broadbent, E., and Grimes, N. (2019). Geometric targets for UAS lidar. Remote Sens., 11.","DOI":"10.3390\/rs11243019"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3178","DOI":"10.1021\/ie049626e","article-title":"Genetic programming for the identification of nonlinear input-output models","volume":"44","author":"Abonyi","year":"2005","journal-title":"Ind. Eng. Chem. Res."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/S0921-9366(06)80006-X","article-title":"Chapter 5 Genetic algorithms","volume":"Volume 4","author":"Yang","year":"1995","journal-title":"Advances in Exploration Geophysics"},{"key":"ref_44","first-page":"197","article-title":"Multicriteria Analysis","volume":"Volume 3","author":"Huang","year":"2017","journal-title":"Comprehensive Geographic Information Systems"},{"key":"ref_45","unstructured":"Buhmann, M.D., Melville, P., Sindhwani, V., Quadrianto, N., Buntine, W.L., Torgo, L., Zhang, X., Stone, P., Struyf, J., and Blockeel, H. (2011). Regression Trees. Encyclopedia of Machine Learning, Springer."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Durai, P., Radhakrishnan, N.P., and Bhaskar, A.S. (2019, January 17\u201320). Habitat Based Identification of Foredune and Incipient Foredune by Per Pixel and Sub Pixel Approach, A Case Study from Panaiyur Coast, Tamil Nadu, South India. Proceedings of the 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications (TENGARSS), Kochi, India.","DOI":"10.1109\/TENGARSS48957.2019.8976055"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"29","DOI":"10.5599\/admet.766","article-title":"Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database","volume":"8","author":"Avdeef","year":"2020","journal-title":"ADMET DMPK"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/226\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T06:10:30Z","timestamp":1724479830000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,31]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["rs15010226"],"URL":"https:\/\/doi.org\/10.3390\/rs15010226","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,12,31]]}}}