{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T15:02:57Z","timestamp":1783695777362,"version":"3.55.0"},"reference-count":127,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2015,5,21]],"date-time":"2015-05-21T00:00:00Z","timestamp":1432166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"California Sea Grant Delta Science Fellowship","award":["R\/SF-52"],"award-info":[{"award-number":["R\/SF-52"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The applications of object-based image analysis (OBIA) in remote sensing studies of wetlands have been growing over recent decades, addressing tasks from detection and delineation of wetland bodies to comprehensive analyses of within-wetland cover types and their change. Compared to pixel-based approaches, OBIA offers several important benefits to wetland analyses related to smoothing of the local noise, incorporating meaningful  non-spectral features for class separation and accounting for landscape hierarchy of wetland ecosystem organization and structure. However, there has been little discussion on whether unique challenges of wetland environments can be uniformly addressed by OBIA across different types of data, spatial scales and research objectives, and to what extent technical and conceptual aspects of this framework may themselves present challenges in a complex wetland setting. This review presents a synthesis of 73 studies that applied OBIA to different types of remote sensing data, spatial scale and research objectives. It summarizes the progress and scope of OBIA uses in wetlands, key benefits of this approach, factors related to accuracy and uncertainty in its applications and the main research needs and directions to expand the OBIA capacity in the future wetland studies. Growing demands for higher-accuracy wetland characterization at both regional and local scales together with advances in very high resolution remote sensing and novel tasks in wetland restoration monitoring will likely continue active exploration of the OBIA potential in these diverse and complex environments.<\/jats:p>","DOI":"10.3390\/rs70506380","type":"journal-article","created":{"date-parts":[[2015,5,21]],"date-time":"2015-05-21T10:30:59Z","timestamp":1432204259000},"page":"6380-6413","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":271,"title":["Object-Based Image Analysis in Wetland Research: A Review"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3339-3704","authenticated-orcid":false,"given":"Iryna","family":"Dronova","sequence":"first","affiliation":[{"name":"Department of Landscape Architecture & Environmental Planning, 202 Wurster Hall #2000, University of California Berkeley, CA 94720, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1146\/annurev.energy.30.050504.144248","article-title":"Wetland resources: Status, trends, ecosystem services, and restorability","volume":"30","author":"Zedler","year":"2005","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1890\/110004","article-title":"A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2","volume":"9","author":"Mcleod","year":"2011","journal-title":"Front. Ecol. Environ."},{"key":"ref_3","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_4","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.rse.2006.06.006","article-title":"Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing","volume":"105","author":"Belluco","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"895","DOI":"10.14358\/PERS.80.9.895","article-title":"Very high resolution plant community mapping at High Moor, Kushiro Wetland","volume":"80","author":"Yoshino","year":"2014","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"439","DOI":"10.14358\/PERS.80.5.439","article-title":"Wetland mapping in the Upper Midwest United States: An object-based approach integrating LiDAR and imagery data","volume":"80","author":"Rampi","year":"2014","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3220","DOI":"10.1016\/j.rse.2011.07.006","article-title":"Object-based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China","volume":"115","author":"Dronova","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s13157-012-0373-x","article-title":"Object-based vegetation mapping in the Kissimmee River watershed using HyMap data and machine learning techniques","volume":"33","author":"Zhang","year":"2013","journal-title":"Wetlands"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1080\/02757250109532435","article-title":"A review of wetlands remote sensing and defining new considerations","volume":"20","author":"Rundquist","year":"2001","journal-title":"Remote Sens. Rev."},{"key":"ref_10","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_11","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11273-009-9169-z","article-title":"Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review","volume":"18","author":"Adam","year":"2010","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5655","DOI":"10.1080\/014311602331291215","article-title":"Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery","volume":"25","author":"Wang","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2825","DOI":"10.1080\/01431161003745608","article-title":"Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: Scale, texture and image objects","volume":"32","author":"Kim","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/S0304-3800(03)00139-X","article-title":"A multi-scale segmentation\/object relationship modelling methodology for landscape analysis","volume":"168","author":"Burnett","year":"2003","journal-title":"Ecol. Model."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"187","DOI":"10.2747\/1548-1603.46.2.187","article-title":"Mapping isolated wetlands in a Karst landscape: GIS and remote sensing methods","volume":"46","author":"Reif","year":"2009","journal-title":"Gisci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1672\/08-194.1","article-title":"Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data","volume":"29","author":"Frohn","year":"2009","journal-title":"Wetlands"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.rse.2012.09.018","article-title":"Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods","volume":"127","author":"Dronova","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1080\/01431160903559762","article-title":"Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery","volume":"32","author":"Frohn","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","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":"Geo. Inf. Syst."},{"key":"ref_20","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_21","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.isprsjprs.2012.05.002","article-title":"Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia","volume":"71","author":"Lyons","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2222","DOI":"10.3390\/rs3102222","article-title":"Hyperspectral data for mangrove species mapping: A comparison of pixel-based and object-based approach","volume":"3","author":"Kamal","year":"2011","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/s00267-004-0003-3","article-title":"Mapping land-cover and mangrove structures with remote sensing techniques: A contribution to a synoptic GIS in support of coastal management in North Brazil","volume":"34","author":"Krause","year":"2004","journal-title":"Environ. Manage."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"188","DOI":"10.2747\/1548-1603.45.2.188","article-title":"Identifying mangrove species and their surrounding land use and land cover classes using an object-oriented approach with a lacunarity spatial measure","volume":"45","author":"Myint","year":"2008","journal-title":"GISci. Remote Sens."},{"key":"ref_25","unstructured":"Tuxen, K., and Kelly, M. (2008). Object-based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, Springer."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"194","DOI":"10.3390\/rs4010194","article-title":"Blanding\u2019s turtle (Emydoidea blandingii) potential habitat mapping using aerial orthophotographic imagery and object based classification","volume":"4","author":"Barker","year":"2012","journal-title":"Remote Sens."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1080\/01431161.2012.718463","article-title":"Distinguishing wetland vegetation and channel features with object-based image segmentation","volume":"34","author":"Moffett","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5589\/m05-003","article-title":"Classification of Iowa wetlands using an airborne hyperspectral image: A comparison of the spectral angle mapper classifier and an object-oriented approach","volume":"31","author":"Harken","year":"2005","journal-title":"Can. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.rse.2009.12.002","article-title":"Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imagery","volume":"114","author":"Laba","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.isprsjprs.2013.03.006","article-title":"Change detection from remotely sensed images: From pixel-based to object-based approaches","volume":"80","author":"Hussain","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4048","DOI":"10.1016\/j.rse.2008.05.020","article-title":"Integrating multi-temporal spectral and structural information to map wetland vegetation in a lower Connecticut River tidal marsh","volume":"112","author":"Gilmore","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.3390\/rs4061671","article-title":"Unmanned aircraft systems in remote sensing and scientific research: Classification and considerations of use","volume":"4","author":"Watts","year":"2012","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Wan, H., Wang, Q., Jiang, D., Fu, J., Yang, Y., and Liu, X. (2014). Monitoring the invasion of spartina alterniflora using very high resolution unmanned aerial vehicle imagery in Beihai, Guangxi (China). Sci. World J.","DOI":"10.1155\/2014\/638296"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1890\/120150","article-title":"Lightweight unmanned aerial vehicles will revolutionize spatial ecology","volume":"11","author":"Anderson","year":"2013","journal-title":"Front. Ecol. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Cowardin, L.M., Carter, V., Golet, F.C., and LaRoe, E.T. (1979). Classification of Wetlands and Deepwater Habitats of the United States.","DOI":"10.5962\/bhl.title.4108"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s13157-011-0146-y","article-title":"Classifying the hydrologic function of prairie potholes with remote sensing and GIS","volume":"31","author":"Rover","year":"2011","journal-title":"Wetlands"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.isprsjprs.2008.04.002","article-title":"An object-based method for mapping and change analysis in mangrove ecosystems","volume":"63","author":"Conchedda","year":"2008","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1080\/00750778.2011.615558","article-title":"Object oriented classification of disturbance on raised bogs in the Irish Midlands using medium- and high-resolution satellite imagery","volume":"44","author":"Connolly","year":"2011","journal-title":"Ir. Geogr."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1080\/01431161.2012.715773","article-title":"An object-oriented classification method for mapping mangroves in Guinea, West Africa, using multipolarized ALOS PALSAR L-band data","volume":"34","author":"Santiago","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.rse.2003.04.001","article-title":"Dual-season mapping of wetland inundation and vegetation for the central Amazon basin","volume":"87","author":"Hess","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_42","unstructured":"Hurd, J.D., Civco, D.L., Gilmore, M.S., Prisloe, S., and Wilson, E.H. Tidal Wetland Classification from LANDSAT Imagery Using An Integrated Pixel-Based and Object-Based Classification approach. Available online: http:\/\/clear.uconn.edu\/publications\/research\/tech_papers\/Hurd_et_al_ASPRS2006.pdf."},{"key":"ref_43","unstructured":"Hurd, J.D., Civco, D.L., Gilmore, M.S., Prisloe, S., and Wilson, E.H. Coastal Marsh Characterization Using Satellite Remote Sensing and In Situ Radiometry Data: Preliminary Results. Available online: http:\/\/www.researchgate.net\/profile\/Martha_Gilmore\/publication\/228920465_Coastal_marsh_characterization_using_satellite_remote_sensing_and_in_situ_radiometry_data_Preliminary_results\/links\/02e7e52b9e87c974dd000000.pdf."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1080\/01431161003639645","article-title":"Analysis of seasonal land use in Usangu wetlands, Tanzania: an object-oriented technique for multi-temporal analysis with high-resolution data","volume":"32","author":"Canisius","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"335","DOI":"10.3390\/d5020335","article-title":"Linking spatio-temporal land cover change to biodiversity conservation in the Koshi Tappu Wildlife Reserve, Nepal","volume":"5","author":"Chettri","year":"2013","journal-title":"Diversity"},{"key":"ref_46","unstructured":"Richmond, O.M.W. Inferring Ecological Relationships from Occupancy Patterns for California Black Rails in the Sierra Nevada Foothills. Available online: http:\/\/escholarship.org\/uc\/item\/43c0173m."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1109\/JSTARS.2012.2222354","article-title":"Monitoring wetland changes on the source of the three rivers from 1990 to 2009, Qinghai, China","volume":"6","author":"Yang","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"4175","DOI":"10.1080\/01431160701236837","article-title":"Object-oriented and textural image classification of the Siberia GBFM radar mosaic combined with MERIS imagery for continental scale land cover mapping","volume":"28","author":"Durieux","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","first-page":"145","article-title":"Remote sensing and GIS-based techniques for the classification and monitoring of biotopes. Case examples for a wet grass- and moor land area in Northern Germany","volume":"11","author":"Bock","year":"2003","journal-title":"J. Nat. Conserv. Jena"},{"key":"ref_50","unstructured":"Burnett, C., Aaviksoo, K., Lang, S., Langanke, T., and Blaschke, T. (July, January 30). An object-based methodology for mapping mires using high resolution imagery. Proceedings of the International Conference on Ecohydrological Processes in Northern Wetlands, Tallinn, Estonia."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.rse.2012.09.022","article-title":"Landcover classification of the Lower Nhecolandia subregion of the Brazilian Pantanal Wetlands using ALOS\/PALSAR, RADARSAT-2 and ENVISAT\/ASAR imagery","volume":"128","author":"Evans","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/JSTARS.2010.2089042","article-title":"Using ALOS\/PALSAR and RADARSAT-2 to map land cover and seasonal inundation in the Brazilian Pantanal","volume":"3","author":"Evans","year":"2010","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"S398","DOI":"10.5589\/m08-049","article-title":"Object-based classification of a SPOT-4 image for mapping wetlands in the context of greenhouse gases emissions: the case of the Eastmain region, Quebec, Canada","volume":"34","author":"Grenier","year":"2008","journal-title":"Can. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"043511","DOI":"10.1117\/1.3368722","article-title":"Optimal Envisat advanced synthetic aperture radar image parameters for mapping and monitoring Sahelian floodplains","volume":"4","author":"Westra","year":"2010","journal-title":"J. Appl. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.rse.2011.07.009","article-title":"How wetland type and area differ through scale: A GEOBIA case study in Alberta\u2019s Boreal Plains","volume":"117","author":"Powers","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2440","DOI":"10.3390\/rs3112440","article-title":"An object-based classification of mangroves using a hybrid decision tree-support vector machine approach","volume":"3","author":"Heumann","year":"2011","journal-title":"Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.rse.2014.10.027","article-title":"Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification","volume":"158","author":"Dronova","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1007\/s13157-012-0347-z","article-title":"Forty years of change in the Bulrush Marshes of the St. Lawrence Estuary and the impact of the Greater Snow Goose","volume":"32","author":"Allard","year":"2012","journal-title":"Wetlands"},{"key":"ref_59","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_60","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1080\/0143116031000116985","article-title":"Use of SAR satellites for mapping zonation of vegetation communities in the Amazon floodplain","volume":"25","author":"Costa","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1080\/01431160110092957","article-title":"Biophysical properties and mapping of aquatic vegetation during the hydrological cycle of the Amazon floodplain using JERS-1 and Radarsat","volume":"23","author":"Costa","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1887","DOI":"10.3390\/rs4071887","article-title":"Monitoring seasonal hydrological dynamics of minerotrophic peatlands using multi-date GeoEye-1 very high resolution imagery and object-based classification","volume":"4","author":"Dribault","year":"2012","journal-title":"Remote Sens."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.geomorph.2006.07.024","article-title":"Remote sensing of floodplain geomorphology as a surrogate for biodiversity in a tropical river system (Madre de Dios, Peru)","volume":"89","author":"Hamilton","year":"2007","journal-title":"Geomorphology"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1007\/s13157-010-0105-z","article-title":"Mapping floating and emergent aquatic vegetation in coastal wetlands of Eastern Georgian Bay, Lake Huron, Canada","volume":"30","author":"Midwood","year":"2010","journal-title":"Wetlands"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ecss.2012.10.005","article-title":"Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery","volume":"117","author":"Nascimento","year":"2013","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.ecoinf.2011.01.002","article-title":"A comparison of pixel-based and object-oriented approaches to VHR imagery for mapping saltmarsh plants","volume":"6","author":"Ouyang","year":"2011","journal-title":"Ecol. Inform."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s11273-011-9213-7","article-title":"Transferability of object-based rule sets for mapping coastal high marsh habitat among different regions in Georgian Bay, Canada","volume":"19","author":"Wei","year":"2011","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.rse.2012.05.015","article-title":"Combining object-based texture measures with a neural network for vegetation mapping in the Everglades from hyperspectral imagery","volume":"124","author":"Zhang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_69","unstructured":"Wagner, I. The Danube Floodplain National Park Habitats\u2014Application of the Object-Based Image Analysis Approach. Available online: http:\/\/www.researchgate.net\/publication\/210286848_The_Danube_Floodplain_National_Park_Habitats__Application_of_the_Object-based_Image_Analysis_approach."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1007\/s10021-007-9040-0","article-title":"What is the value of a good map\u202f? An example using high spatial resolution imagery to aid riparian restoration","volume":"10","author":"Gergel","year":"2007","journal-title":"Ecosystems"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.rse.2007.07.012","article-title":"Floodplain roughness parameterization using airborne laser scanning and spectral remote sensing","volume":"112","author":"Straatsma","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1007\/s13157-011-0202-7","article-title":"Assessment of alpine wetland dynamics from 1976-2006 in the Vicinity of Mount Everest","volume":"31","author":"Nie","year":"2011","journal-title":"Wetlands"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.landurbplan.2006.02.006","article-title":"Assessing the mire conservation status of a raised bog site in Salzburg using object-based monitoring and structural analysis","volume":"79","author":"Langanke","year":"2007","journal-title":"Landsc. Urban Plan."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"189","DOI":"10.5589\/m09-002","article-title":"Object-based classification of very high resolution panchromatic images for evaluating recent change in the structure of patterned peatlands","volume":"35","author":"Dissanska","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.ecss.2008.08.014","article-title":"Analyzing the habitat suitability for migratory birds at the Chongming DOngtan Natrue Reserve in Shanghai, China","volume":"80","author":"Tian","year":"2008","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ecoleng.2013.02.006","article-title":"Assessment of habitat suitability for waterbirds in the West Songnen Plain, China, using remote sensing and GIS","volume":"55","author":"Dong","year":"2013","journal-title":"Ecol. Eng."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s11273-012-9252-8","article-title":"Knowledge-based classification of remote sensing data for the estimation of below- and above-ground organic carbon stocks in riparian forests","volume":"20","author":"Suchenwirth","year":"2012","journal-title":"Wetl. Ecol. Manag."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1998","DOI":"10.1016\/j.rse.2010.04.007","article-title":"Spatial and temporal variability of macrophyte cover and productivity in the eastern Amazon floodplain: A remote sensing approach","volume":"114","author":"Silva","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1016\/j.ecolind.2010.01.001","article-title":"Mapping riparian condition indicators in a sub-tropical savanna environment from discrete return LiDAR data using object-based image analysis","volume":"10","author":"Johansen","year":"2010","journal-title":"Ecol. Indic."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"2679","DOI":"10.1016\/j.rse.2010.06.004","article-title":"Mapping of riparian zone attributes using discrete return LiDAR, QuickBird and SPOT-5 imagery: Assessing accuracy and costs","volume":"114","author":"Johansen","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1109\/JSTARS.2012.2202638","article-title":"Monitoring fire and selective logging activities in tropical peat swamp forests","volume":"5","author":"Franke","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.landurbplan.2007.01.021","article-title":"Detection of burned peat swamp forest in a heterogeneous tropical landscape: A case study of the Klias Peninsula, Sabah, Malaysia","volume":"82","author":"Phua","year":"2007","journal-title":"Landsc. Urban Plan."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Shen, G., Guo, H., and Liao, J. (2008). Object oriented method for detection of inundation extent using multi-polarized synthetic aperture radar image. J. Appl. Remote Sens., 2.","DOI":"10.1117\/1.2911669"},{"key":"ref_84","first-page":"352","article-title":"Mapping vegetation of a wetland ecosystem by fuzzy classification of optical and microwave satellite images supported by various ancillary data","volume":"4879","author":"Stankiewicz","year":"2003","journal-title":"Remote Sens. Agric. Ecosyst. Hydrol."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"5051","DOI":"10.1080\/01431160500166516","article-title":"A rule-based method for mapping Canada\u2019s wetlands using optical, radar and DEM data","volume":"26","author":"Li","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1007\/s13157-012-0339-z","article-title":"Using Satellite imagery to assess macrophyte response to water-level manipulations in the Saskatchewan River Delta, Manitoba","volume":"32","author":"Baschuk","year":"2012","journal-title":"Wetlands"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"183","DOI":"10.3390\/rs5010183","article-title":"Remote Sensing in mapping mangrove ecosystems\u2014An object-based approach","volume":"5","author":"Vo","year":"2013","journal-title":"Remote Sens."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"2793","DOI":"10.1080\/01431160903111077","article-title":"Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands","volume":"31","author":"Berberoglu","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_89","first-page":"537","article-title":"An efficient remote sensing solution to update the NCWI","volume":"78","author":"Stein","year":"2012","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_90","unstructured":"ECognition, Trimble Inc. (2012). eCognition Reference Book, ECognition, Trimble Inc."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"871","DOI":"10.14358\/PERS.75.7.871","article-title":"Object-based detection and classification of vehicles from high-resolution aerial photography","volume":"75","author":"Holt","year":"2009","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.14358\/PERS.75.8.1005","article-title":"Individual object change detection for monitoring the impact of a forest pathogen on a hardwood forest","volume":"75","author":"Kelly","year":"2009","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"289","DOI":"10.14358\/PERS.76.3.289","article-title":"Accuracy assessment measures for object-based image segmentation goodness","volume":"76","author":"Clinton","year":"2010","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_94","unstructured":"Baatz, M., and Sch\u00e4pe, A. (2000). Angewandte Geographische Informationsverarbeitung XII, Wichmann."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1080\/13658810903174803","article-title":"ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data","volume":"24","author":"Dragut","year":"2010","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.isprsjprs.2013.11.018","article-title":"Automated parameterisation for multi-scale image segmentation on multiple layers","volume":"88","author":"Dragut","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/01431161003743173","article-title":"Assessing object-based classification: Advantages and limitations","volume":"1","author":"Liu","year":"2010","journal-title":"Remote Sens. Lett."},{"key":"ref_98","unstructured":"Beller, E., Salomon, M., and Grossinger, R. (2013). An Assessment of the South Bay Historical Tidal-Terrestrial Transition Zone, San Francisco Estuary Institute."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1023\/A:1013999513172","article-title":"Remote sensing of forested wetlands: application of multitemporal and multispectral satellite imagery to determine plant community composition and structure in southeastern USA","volume":"157","author":"Townsend","year":"2001","journal-title":"Plant Ecol."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.rse.2006.10.019","article-title":"Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data","volume":"107","author":"Wright","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"523","DOI":"10.2307\/3546656","article-title":"Control of plant species richness and zonation of functional groups along a freshwater flooding gradient","volume":"86","author":"Lenssen","year":"1999","journal-title":"Oikos"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2012.07.003","article-title":"A new time series vegetation-water index of phenological-hydrological trait across species and functional types for Poyang Lake wetland ecosystem","volume":"125","author":"Wang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.isprsjprs.2012.03.010","article-title":"A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region","volume":"70","author":"Li","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Silva, T.S.F., Costa, M.P.F., Novo, E.M.L.M., and Melack, J.M. (2013, January 25\u201327). A multisensor, multitemporal approach for monitoring herbaceous vegetation growth in the Amazon floodplain. Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Banff, UK.","DOI":"10.1109\/Multi-Temp.2013.6866019"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","volume":"SMC3","author":"Haralick","year":"1973","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_106","unstructured":"Schoepfer, E., Lang, S., and Albrecht, F. (2008). Object-Based Image Analysis\u2014Spatial Concepts for Knowledge-Driven Remote Sensing Applications, Springer."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1080\/01431160701311333","article-title":"Refining forest classifications in the western Amazon using an intra-annual multitemporal approach","volume":"29","author":"McCleary","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"2564","DOI":"10.1016\/j.rse.2011.05.013","article-title":"Object-oriented mapping of landslides using Random Forests","volume":"115","author":"Stumpf","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"3747","DOI":"10.1080\/01431161003777189","article-title":"Optimal region growing segmentation and its effect on classification accuracy","volume":"32","author":"Gao","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"4928","DOI":"10.1109\/TGRS.2011.2151866","article-title":"Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis","volume":"49","author":"Martha","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_111","unstructured":"Witten, I., and Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann."},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Hall, M., Frank, E., Holmes, G., Pfaringer, B., Reutemann, P., and Witten, I. The WEKA Data Mining Software: An Update. Available online: http:\/\/www.cms.waikato.ac.nz\/~ml\/publications\/2009\/weka_update.pdf.","DOI":"10.1145\/1656274.1656278"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1111\/j.1469-8137.2010.03284.x","article-title":"Remote sensing of plant functional types","volume":"186","author":"Ustin","year":"2010","journal-title":"New Phytol."},{"key":"ref_114","unstructured":"Blaschke, T., and Tomljenovic, I. (2012, January 19\u201323). LidarScapes and OBIA. Proceedings of the ASPRS 2012 Annual Conference, Sacramento, CA, USA."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/0034-4257(95)00253-7","article-title":"Modeling radiative transfer in heterogeneous 3-D vegetation canopies","volume":"58","author":"GastelluEtchegorry","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"3610","DOI":"10.1109\/TGRS.2006.881743","article-title":"Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning LiDAR","volume":"44","author":"Hosoi","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.agrformet.2013.09.005","article-title":"On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR","volume":"184","author":"Beland","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"905","DOI":"10.14358\/PERS.73.8.905","article-title":"The importance of scale in object-based mapping of vegetation parameters with hyperspectral imagery","volume":"73","author":"Addink","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1080\/13658816.2010.496729","article-title":"A multiscale geographic object-based image analysis to estimate LiDAR-measured forest canopy height using Quickbird imagery","volume":"25","author":"Chen","year":"2011","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"222","DOI":"10.5558\/tfc68222-2","article-title":"The ecosystem approach to forestland management","volume":"68","author":"Rowe","year":"1992","journal-title":"For. Chron."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1046\/j.1523-1739.1995.9051134.x-i1","article-title":"Using the landscape ecosystem approach to assess species and ecosystem diversity","volume":"9","author":"Lapin","year":"1995","journal-title":"Conserv. Biol."},{"key":"ref_122","unstructured":"Barnes, B.V., Zak, D.R., Denton, S.R., and Spurr, S.H. (1998). Forest Ecology, John Wiley & Sons, Inc."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"1865","DOI":"10.1139\/x95-201","article-title":"Ecological classification and analysis of wetland ecosystems, Northern Lower Michigan, USA","volume":"25","author":"Zogg","year":"1995","journal-title":"Can. J. For. Res."},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Albert, D.A. (1994). Regional Landscape Ecosystems of Michigan, Minnesota, and Wisconsin: A Working Map and Classification, General Technical Report NC-178.","DOI":"10.2737\/NC-GTR-178"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"799","DOI":"10.14358\/PERS.72.7.799","article-title":"Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery","volume":"72","author":"Yu","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"2976","DOI":"10.1016\/j.rse.2011.05.007","article-title":"Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping","volume":"115","author":"Anders","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.geomorph.2011.03.011","article-title":"Local variance for multi-scale analysis in geomorphometry","volume":"130","author":"Dragut","year":"2011","journal-title":"Geomorphology"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/5\/6380\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:46:42Z","timestamp":1760215602000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/5\/6380"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,21]]},"references-count":127,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2015,5]]}},"alternative-id":["rs70506380"],"URL":"https:\/\/doi.org\/10.3390\/rs70506380","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,21]]}}}