Object oriented method for detection of inundation extent using multi-polarized synthetic aperture radar image

Object-Based Image Analysis in Wetland Research: A Review

“…Wetland types represented in this review were also diverse, including coastal freshwater and tidal marshes, mangroves, freshwater wetlands in river floodplains, riparian ecosystems, diverse wetland types in peatland landscapes, tropical peat swamps and small isolated freshwater wetlands with scattered distribution (Table 1). Several analyses were conducted in spatially extensive and biologically diverse wetland regions of international importance and sites of protected status under Ramsar Convention, such as Poyang Lake [7,17,53,54], Dongtan Nature Reserve [58] and Xianghai and Zhalong wetlands [56] in China, Brazilian Pantanal wetlands in South America [79,80], Kushiro wetland in Japan [5], Koshi Tappu Wildlife Preserve in Nepal [63], and European Eider Treene Sorge Lowland [65], Danube Floodplain [68] and Biebrza River Valley [71], as well as other protected areas including Florida Everglades National Park in USA [8,83] and other nature reserves and wildlife refuge sites [28,34,67].…”

“…A much wider choice of spectral bands and indices is possible with hyperspectral remote sensing; however, such data have been relatively less common in object-based wetland studies. Four analyses in this review used airborne hyperspectral images to characterize general cover types [29] and wetland-specific vegetation groups and species [8,22,83]. Prior to OBIA, these studies determined the most useful bands with the aid of data-reducing statistical techniques such as minimum noise fraction transformation.…”

“…Among these, spatial resolution varied from 125 to 300 m of Moderate Resolution Imaging Spectroradiometer (MODIS) and Medium Resolution Imaging Spectrometer (MERIS) to moderate-resolution (10 to 32 m) data from missions such as Landsat, SPOT, Beijing-1 [7,15,17,23,38,56,59,65,86,88] and high-resolution (pixel size ≤ 4 m) commercial satellite and aerial imagery with pixel size up to 0.15 m from a UAV [34] and 0.02 m from a balloon and camera system [5]. Four studies used hyperspectral airborne imagery at high resolutions between 0.6 and 4 m for classifying wetland communities and species in Florida, USA [8,83], mapping mangrove species in Australia [22] and river floodplain cover types in a small area in Iowa, USA [29].…”

“…River floodplain wetlands [8,29,83], coastal freshwater, brackish and salt marshes [13,25,28,30,32,84,85], isolated freshwater wetlands of different types [6,15,16,18,86,87] 0.4-5,400 0. The studies represented various wetland regions of the world, but most of them were conducted in North America (USA and Canada), Central and South America and China (Table 1).…”

“…Typological classification of delineated wetland units: assignment of mapped wetland bodies into hydrological, geomorphological and ecological categories without detailed mapping of within-wetland cover [6,27,29,37,43,44,55,65,66,73,79,80]; (3). Classification of within-wetland cover types and/or vegetation: mapping within-wetland surface composition and vegetation types, sometimes targeting specific classes such as invasive plant species (e.g., [5,8,12,13,17,[23][24][25]28,30,32,34,41,45,[48][49][50]52,53,57,68,69,[74][75][76][77][79][80][81][82][83][84][85]); (4). Analysis of wetland change over a particular period of time...…”