Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery

Nascimento, Wilson R.; Souza-Filho, Pedro Walfir M.; Proisy, Christophe; Lucas, Richard; Rosenqvist, Åke

doi:10.1016/j.ecss.2012.10.005

Cited by 139 publications

(95 citation statements)

References 41 publications

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“…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].…”

Section: China 10mentioning

confidence: 99%

“…Other South & East Asia 6 Tropical peat swamps [60,61], peatland [5], mangroves [24,62] and river floodplain [63] 0.1-5331 0.02-30 Europe 9 Diverse peatland types and bogs [64][65][66][67], river floodplain [68][69][70][71] and coastal saltwater marshes [72] 0. 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.…”

Section: China 10mentioning

confidence: 99%

“…(2). 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]); …”

Section: Research Objectives and Focusmentioning

confidence: 99%

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Object-Based Image Analysis in Wetland Research: A Review

2015

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Abstract: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.

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Section: China 10mentioning

confidence: 99%

Section: China 10mentioning

confidence: 99%

Section: Research Objectives and Focusmentioning

confidence: 99%

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Object-Based Image Analysis in Wetland Research: A Review

2015

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“…It is part of the largest continuous mangrove belt in the world [22,33]. The climate is classified as hot and humid [34] with two seasons, rainy (January to July) and dry (August to January), which have an average rainfall of 2000 mm and 20 mm, respectively [35].…”

Section: Study Areamentioning

confidence: 99%

Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests

et al. 2015

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Abstract:The aim of this study is to understand the relationship between radar backscattering (σ˝, β˝and γ) of a multi-polarized Radarsat-2 C-band image with the structural attributes of regenerating mangrove vegetation located at the mouth of the Amazon River. CBH (circumference at breast height), height and species data were collected to characterize vegetation structure and above-ground biomass (AGB) at 17 plots with a total of 3090 measured individuals. Significant relationships between the linear σ˝in VH (vertical transmit, horizontal receive) cross-polarization produced r 2 values of 0.63 for the average height, 0.53 for the DBH, 0.46 for the basal area (BA) and 0.52 for the AGB. Using co-polarized HH (horizontal transmit, horizontal receive) and VV (vertical transmit, vertical receive), r 2 values increased to 0.81, 0.79, 0.67 and 0.79, respectively. Vegetation attribute maps of average canopy height, DBH and AGB were generated for the study area. We conclude that multi-polarized Radarsat-2 images were adequate for characterization of vegetation attributes in areas of mangrove regeneration.

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“…The observed expansion of large mangrove areas in the AMCC seems typical of this region (Nascimento Jr et al 2013).…”

mentioning

confidence: 99%

Mangroves Response to Climate Change: A Review of Recent Findings on Mangrove Extension and Distribution

Godoy

Lacerda

2015

An. Acad. Bras. Ciênc.

120

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Mangroves function as a natural coastline protection for erosion and inundation, providing important environmental services. Due to their geographical distribution at the continent-ocean interface, the mangrove habitat may suffer heavy impacts from global climate change, maximized by local human activities occurring in a given coastal region. This review analyzed the literature published over the last 25 years, on the documented response of mangroves to environmental change caused by global climate change, taking into consideration 104 case studies and predictive modeling, worldwide. Most studies appeared after the year 2000, as a response to the 1997 IPCC report. Although many reports showed that the world's mangrove area is decreasing due to direct anthropogenic pressure, several others, however, showed that in a variety of habitats mangroves are expanding as a response to global climate change. Worldwide, pole ward migration is extending the latitudinal limits of mangroves due to warmer winters and decreasing the frequency of extreme low temperatures, whereas in low-lying coastal plains, mangroves are migrating landward due to sea level rise, as demonstrated for the NE Brazilian coast. Taking into consideration climate change alone, mangroves in most areas will display a positive response. In some areas however, such as low-lying oceanic islands, such as in the Pacific and the Caribbean, and constrained coastlines, such as the SE Brazilian coast, mangroves will most probably not survive.

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Mapping changes in the largest continuous Amazonian mangrove belt using object-based classification of multisensor satellite imagery

Cited by 139 publications

References 41 publications

Object-Based Image Analysis in Wetland Research: A Review

Object-Based Image Analysis in Wetland Research: A Review

Radarsat-2 Backscattering for the Modeling of Biophysical Parameters of Regenerating Mangrove Forests

Mangroves Response to Climate Change: A Review of Recent Findings on Mangrove Extension and Distribution

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