{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T14:05:53Z","timestamp":1768917953621,"version":"3.49.0"},"reference-count":66,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,11,6]],"date-time":"2015-11-06T00:00:00Z","timestamp":1446768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remote sensing technology serves as a powerful tool for analyzing geospatial characteristics of flood inundation events at various scales. However, the performance of remote sensing methods depends heavily on the flood characteristics and landscape settings. Difficulties might be encountered in mapping the extent of localized flooding with shallow water on riverine floodplain areas, where patches of herbaceous vegetation are interspersed with open water surfaces. To address the difficulties in mapping inundation on areas with complex water and vegetation compositions, a high spatial resolution dataset has to be used to reduce the problem of mixed pixels. The main objective of our study was to investigate the possibilities of using a single date WorldView-2 image of very high spatial resolution and supporting data to analyze spatial patterns of localized flooding on a riverine floodplain. We used a decision tree algorithm with various combinations of input variables including spectral bands of the WorldView-2 image, selected spectral indices dedicated to mapping water surfaces and vegetation, and topographic data. The overall accuracies of the twelve flood extent maps derived with the decision tree method and performed on both pixels and image objects ranged between 77% and 95%. The highest mapping overall accuracy was achieved with a method that utilized all available input data and the object-based image analysis. Our study demonstrates the possibility of using single date WorldView-2 data for analyzing flooding events at high spatial detail despite the absence of spectral bands from the short-waveform region that are frequently used in water related studies. Our study also highlights the importance of topographic data in inundation analyses. The greatest difficulties were met in mapping water surfaces under dense canopy herbaceous vegetation, due to limited water surface exposure and the dominance of vegetation reflectance.<\/jats:p>","DOI":"10.3390\/rs71114853","type":"journal-article","created":{"date-parts":[[2015,11,6]],"date-time":"2015-11-06T11:12:15Z","timestamp":1446808335000},"page":"14853-14875","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":75,"title":["Detection and Delineation of Localized Flooding from  WorldView-2 Multispectral Data"],"prefix":"10.3390","volume":"7","author":[{"given":"Rados\u0142aw","family":"Malinowski","sequence":"first","affiliation":[{"name":"Department of Agroecology, Aarhus University, Blichers All\u00e9 20, Postboks 50, DK-8830 Tjele, Denmark"}]},{"given":"Geoff","family":"Groom","sequence":"additional","affiliation":[{"name":"Department of Bioscience, Aarhus University, Grenaavej 14, DK-8410 Roende, Denmark"}]},{"given":"Wolfgang","family":"Schwanghart","sequence":"additional","affiliation":[{"name":"Institute of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Germany"}]},{"given":"Goswin","family":"Heckrath","sequence":"additional","affiliation":[{"name":"Department of Agroecology, Aarhus University, Blichers All\u00e9 20, Postboks 50, DK-8830 Tjele, Denmark"}]}],"member":"1968","published-online":{"date-parts":[[2015,11,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9822","DOI":"10.3390\/rs70809822","article-title":"Multi-temporal independent component analysis and Landsat 8 for delineating maximum extent of the 2013 Colorado front range flood","volume":"7","author":"Chignell","year":"2015","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.actaastro.2012.10.034","article-title":"Observing floods from space: Experience gained from COSMO-SkyMed observations","volume":"84","author":"Pierdicca","year":"2013","journal-title":"Acta Astronaut."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4545","DOI":"10.1080\/01431161.2010.489064","article-title":"Landsat mapping of annual inundation (1979\u20132006) of the Macquarie Marshes in semi-arid Australia","volume":"32","author":"Thomas","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1002\/(SICI)1099-1085(199708)11:10<1427::AID-HYP473>3.0.CO;2-S","article-title":"Satellite remote sensing of river inundation area, stage, and discharge: A review","volume":"11","author":"Smith","year":"1997","journal-title":"Hydrol. Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.rse.2014.02.009","article-title":"Floodplain inundation and vegetation dynamics in the Alligator Rivers region (Kakadu) of northern Australia assessed using optical and radar remote sensing","volume":"147","author":"Ward","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_6","unstructured":"Jensen, J.R. (2007). Remote Sensing of the Environment: An Earth Resource Perspective., Pearson Prentice Hall. [2nd ed.]."},{"key":"ref_7","unstructured":"Lillesand, T.M., Kiefer, R.W., and Chipman, J.W. Remote Sensing and Image Interpretation, John Wiley & Sons. [6th ed.]."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s10661-007-9855-3","article-title":"Remote sensing of aquatic vegetation: Theory and applications","volume":"140","author":"Silva","year":"2008","journal-title":"Environ. Monit. Assess."},{"key":"ref_9","unstructured":"European Communities (EC) (2007). Directive 2007\/60\/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks. Off. J. European Communities, 1, L288\/27."},{"key":"ref_10","unstructured":"European Communities (EC) (2009). COUNCIL REGULATION (EC) No 73\/2009 of 19 January 2009 establishing common rules for direct support schemes for farmers under the common agricultural policy and establishing certain support schemes for farmers, amending Regulations (EC) No 1290\/2005, (EC) No 247\/2006, (EC) No 378\/2007 and repealing Regulation (EC) No 1782\/2003. Off. J. European Communities, L 30, 16\u201319."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2154","DOI":"10.1016\/j.jenvman.2007.07.037","article-title":"Monitoring and assessment of wetlands using Earth Observation: The GlobWetland project","volume":"90","author":"Jones","year":"2009","journal-title":"J. Environ. Manage."},{"key":"ref_12","unstructured":"Matthews, G.V.T. (1993). The Ramsar Convention on Wetlands: Its History and Development, Ramsar Convention Bureau."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.rse.2013.07.015","article-title":"Mapping flooding regimes in Camargue wetlands using seasonal multispectral data","volume":"138","author":"Davranche","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1016\/j.rse.2009.10.009","article-title":"Wetland monitoring using classification trees and SPOT-5 seasonal time series","volume":"114","author":"Davranche","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.rse.2013.10.020","article-title":"Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data","volume":"141","author":"Huang","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2390","DOI":"10.1016\/j.rse.2011.05.002","article-title":"Monitoring the dynamics of wetland inundation by random sets on multi-temporal images","volume":"115","author":"Zhao","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"958","DOI":"10.2112\/JCOASTRES-D-12-00170.1","article-title":"Using remote sensing to select and monitor wetland restoration sites: An overview","volume":"29","author":"Klemas","year":"2013","journal-title":"J. Coast. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1023\/A:1020908432489","article-title":"Satellite remote sensing of wetlands","volume":"10","author":"Ozesmi","year":"2002","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_19","first-page":"124","article-title":"An object-based approach for flood area delineation in a transboundary area using ENVISAT ASAR and LANDSAT TM data","volume":"6","author":"Mallinis","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_20","unstructured":"Robertson, L.D., Douglas, J.K., and Davies, C. (2011, January 13\u201316). Spatial analysis of wetlands at multiple scales in Eastern Ontario using remote sensing and GIS. Proceedings of 32nd Canadian Symposium on Remote Sensing, Sherbrooke, QC, Canada."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2536","DOI":"10.1016\/j.rse.2011.04.039","article-title":"The accuracy of sequential aerial photography and SAR data for observing urban flood dynamics, a case study of the UK summer 2007 floods","volume":"115","author":"Schumann","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_22","first-page":"1461","article-title":"Water body detection and delineation with Landsat TM data","volume":"66","author":"Frazier","year":"2000","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.rse.2013.08.029","article-title":"Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery","volume":"140","author":"Feyisa","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5530","DOI":"10.3390\/rs5115530","article-title":"A Comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI","volume":"5","author":"Li","year":"2013","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160600589179","article-title":"Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery","volume":"27","author":"Xu","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/0034-4257(80)90096-6","article-title":"Remote sensing of leaf water content in the near infrared","volume":"10","author":"Tucker","year":"1980","journal-title":"Remote Sens. Environ."},{"key":"ref_28","unstructured":"DigitalGlobe (2014). DigitalGlobe Core Imagery Product Guide, DigitalGlobe Inc."},{"key":"ref_29","unstructured":"KMS (2012). Produktspecification. Danmarks H\u00f8jdemodel, DHM\/Terr\u00e6n. Data Version 1.0, National Survey and Cadastre."},{"key":"ref_30","unstructured":"Richter, R., and Schl\u00e4pfer, D. (2014). Atmospheric\/Topographic Correction for Satellite Imagery, DLR."},{"key":"ref_31","unstructured":"Davis, S.M., Landgrebe, D.A., Phillips, T.L., Swain, P.H., Hoffer, R.M., Lindenlaub, J.C., and Silva, L.F. (1978). Remote Sensing: The Quantitative Approach, McGraw-Hill International Book Co."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features","volume":"17","author":"McFeeters","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","unstructured":"Updike, T., and Comp, C. (2010). Radiometric Use of WorldView-2 Imagery, Digital Globe Inc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1080\/10106049209354353","article-title":"Using spectral vegetation indices to estimate rangeland productivity","volume":"7","author":"Richardson","year":"1992","journal-title":"Geocarto Int."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1080\/0143116031000139908","article-title":"Surveillance et cartographie des plans d\u2019eau et des zones humides et inondables en r\u00e9gions arides avec l\u2019instrument VEGETATION embarqu\u00e9 sur SPOT-4","volume":"25","author":"Gond","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_36","unstructured":"Adell, C., and Puech, C. (2003). Will the spatial analysis of water maps extracted by remote satellite detection allow locating the footprints of hunting activity in the Camargue?. Bull. Soc. Fr. Photogramm. Teledetec., 76\u201386."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/0034-4257(95)00186-7","article-title":"Optimization of soil-adjusted vegetation indices","volume":"55","author":"Rondeaux","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_40","unstructured":"Pearson, R.L., and Miller, L.D. (1972, January 2\u20136). Remote mapping of standing crop biomass for estimation of the productivity of the short-grass Prairie, Pawnee National Grasslands, Colorado. Proceedings of the Eighth International Symposium on Remote Sensing of Environment, Ann Arbor, MI, USA."},{"key":"ref_41","unstructured":"Caillaud, L., Guillaumont, B., and Manaud, F. (1991). Essai de discrimination des modes d\u2019utilisation des marais maritimes par analyse multitemporelle d\u2019images SPOT, application aux marais maritimes du Centre Ouest, IFREMER."},{"key":"ref_42","unstructured":"Lillesand, T.M., and Kiefer, R.W. (1987). Remote Sensing and Image Interpretation, John Wiley and Sons. [2nd ed.]."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/S0034-4257(97)00049-7","article-title":"Decision tree classification of land cover from remotely sensed data","volume":"61","author":"Friedl","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_44","unstructured":"Breiman, L., Friedman, J., Stone, C.J., and Olshen, R.A. (1984). Classification and Regression Trees, Wadsworth International Group."},{"key":"ref_45","unstructured":"Trimble (2014). eCognition Developer 9.0 - Reference Book, Trimble Germany GmbH."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.isprsjprs.2009.06.004","article-title":"Object based image analysis for remote sensing","volume":"65","author":"Blaschke","year":"2010","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.isprsjprs.2013.09.014","article-title":"Geographic Object-Based Image Analysis\u2014Towards a new paradigm","volume":"87","author":"Blaschke","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_48","first-page":"12","article-title":"What\u2019s wrong with pixels? Some recent developments interfacing remote sensing and GIS","volume":"14","author":"Blaschke","year":"2001","journal-title":"Was ist mit den Pixeln los? Neue Entwicklungen zur Integration von Fernerkundung und GIS"},{"key":"ref_49","first-page":"12","article-title":"Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation","volume":"12","author":"Baatz","year":"2000","journal-title":"Angew. Geogr. Inf."},{"key":"ref_50","unstructured":"Laben, C.A., and Brower, B.V. (2000). Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. (No. 6,011,875), U.S. Patent."},{"key":"ref_51","unstructured":"Herrera-Cruz, V., Koudogbo, F., and Herrera, V. (,  2009). TerraSAR-X Rapid Mapping for Flood Events. Proceedings of the International Society for Photogrammetry and Remote Sensing (Earth Imaging for Geospatial Information), Hannover, Germany."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s11269-005-3281-5","article-title":"Delineation of flood-prone areas using remote sensing techniques","volume":"19","author":"Jain","year":"2005","journal-title":"Water Resour. Manag."},{"key":"ref_53","first-page":"428","article-title":"Water body mapping method with HJ-1A\/B satellite imagery","volume":"13","author":"Lu","year":"2011","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_54","unstructured":"ERDAS (2009). IMAGINE Subpixel Classifier User\u2019s Guide, ERDAS, Inc."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"4407","DOI":"10.1080\/01431161.2011.552923","article-title":"Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment","volume":"32","author":"Pontius","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"7543","DOI":"10.1080\/2150704X.2014.969814","article-title":"Quantity, exchange, and shift components of difference in a square contingency table","volume":"35","author":"Pontius","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.foreco.2009.11.018","article-title":"Integration of LiDAR and QuickBird imagery for mapping riparian biophysical parameters and land cover types in Australian tropical savannas","volume":"259","author":"Arroyo","year":"2010","journal-title":"For. Ecol. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"S28","DOI":"10.5589\/m07-048","article-title":"An object-based method to map wetland using RADARSAT-1 and Landsat ETM images: Test case on two sites in Quebec, Canada","volume":"33","author":"Grenier","year":"2007","journal-title":"Can. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.rse.2014.04.003","article-title":"Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation","volume":"149","author":"Byrd","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.jhydrol.2006.11.018","article-title":"Flooding: The effect of water depth on the spectral response of grass canopies","volume":"335","author":"Beget","year":"2007","journal-title":"J. Hydrol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"3533","DOI":"10.1080\/014311600750037543","article-title":"Close-range remote sensing of aquatic macrophyte vegetation cover","volume":"21","author":"Jakubauskas","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/0034-4257(88)90078-8","article-title":"Complementarity of middle-infrared with visible and near-infrared reflectance for monitoring wheat canopies","volume":"26","author":"Baret","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1080\/01431160010014729","article-title":"Integration of remote sensing data and GIS for accurate mapping of flooded areas","volume":"23","author":"Brivio","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"4151","DOI":"10.3390\/s8074151","article-title":"Integrating physical and topographic information into a fuzzy scheme to map flooded area by SAR","volume":"8","author":"Pierdicca","year":"2008","journal-title":"Sensors"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"529","DOI":"10.5194\/nhess-11-529-2011","article-title":"An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic","volume":"11","author":"Pulvirenti","year":"2011","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"567","DOI":"10.5194\/hess-13-567-2009","article-title":"Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data","volume":"13","author":"Zwenzner","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/11\/14853\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:51:41Z","timestamp":1760215901000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/11\/14853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,6]]},"references-count":66,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2015,11]]}},"alternative-id":["rs71114853"],"URL":"https:\/\/doi.org\/10.3390\/rs71114853","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,6]]}}}