Monitoring coastal wetland communities in north-eastern NSW using ASTER and Landsat satellite data

Akumu, Clement E.; Pathirana, Sumith; Baban, Serwan Mj; Bucher, Daniel J

doi:10.1007/s11273-010-9176-0

Cited by 20 publications

(8 citation statements)

References 5 publications

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“…This study has illustrated how careful analysis of remote sensing data using a GIS platform can lead to a detailed understanding of the growth and evolution of deltaic and estuarine systems and is similar to the results presented for other Australian coastal systems [3,4,19,[41][42][43]. This implies that the methodology can be broadly applied to study morphological changes over relatively short timeframes in other coastal lagoon systems both in eastern Australia and more generally to any similar systems around the world.…”

Section: Morphological Evolution Of the Wandandian Deltasupporting

confidence: 72%

“…Many coastal ecosystem management strategies have become more focused on the conservation and sustainability of coastal wetlands [1,2] locally [3], regionally [4] and globally [5] according to their unique ecosystem function roles [6]. However, they are located in sensitive zones where anthropogenic and climate change stressors are concentrated, such as estuaries and deltaic platforms [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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Large numbers of people live along and depend upon the world's coastal resources. Human modifications of the coastal zone, in combination with climate induced environmental changes, have had a major effect on the natural ecological systems. GIS analysis of remote sensed data, combined with fieldwork and laboratory tests, can be used to determine the resultant eco-geomorphic changes that need to be managed sustainably on a worldwide scale. Modelling the eco-geomorphic dynamics between 1949 and 2016 on the Wandandian Creek delta (southeastern NSW, Australia) provides a case study of management options for such coastal resources. Results from the Wandandian Creek delta show that sand/silt sediment derived from the partially (22%) modified terrestrial catchment has prograded into the wave-dominated St. Georges Basin where it is impacted by nearshore processes. Clear spatio-temporal growth of the areal extent and elevation of the deltaic levees and sandspits, with their associated mangroves and saltmarshes, has occurred over the past 65 years. Although the growth rate has fluctuated during the study period, due to flood events in 1974, 1990s and 2010, the overall subaerial and subaqueous delta area has had an average growth of 4168 m 2 annually with the shoreline extending 1.451 m/year on average. This geomorphic growth has stabilised the estuarine deltaic habitats with high proportions of nutrients and organic matter, particularly within saltmarsh, mangrove, Casuarina/Juncus and other mixed native plant areas. This research shows the importance of analysing morphological changes observed on the delta that can be related to both anthropogenic modifications and natural processes to the catchment and thus should be used in the development of catchment and coastal management plans.

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Section: Morphological Evolution Of the Wandandian Deltasupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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“…The approach suggested here goes beyond the physiognomy-based approach to vegetation conducted on Landsat images by Baker et al, 2006;MacAlister and Mahaxay, 2009;Ottinger et al, 2013;Akumu et al, 2010;Cardoso et al, 2013;SanchezHernandez et al, 2007, as it provided information regarding the probable plant communities and thereafter probable species composition. It also proved successful to detect a wide range of habitat types, even when combined in a fine-grained landscape, and including both inland and tidal marshes.…”

Section: Discussion Vegetation Classifications In Coastal Marshes Usimentioning

confidence: 99%

“…The procedure that we tested in this work consisted in aggregating fine-grained vegetation units that constitute repetitive combinations at a higher hierarchical level. In most Landsat-based studies, the vegetation is aggregated according to physiognomy: Baker et al (2006) mapped woods, herbaceous and crops; Ottinger et al (2013) discriminated saline meadows from shrubs and broadleaved trees; Cardoso et al(2013) classified mangroves, marshes and dunes; Akumu et al(2010) characterized dunal wetlands, forested wetlands and coastal swamp; Sanchez-Hernandez et al(2007) identified satlmarshes and fens. Aggregation criteria may also be based on structural types, i.e.…”

Section: Introductionmentioning

confidence: 99%

Use of bi-Seasonal Landsat-8 Imagery for Mapping Marshland Plant Community Combinations at the Regional Scale

et al. 2015

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International audienceCoastal marshlands may provide ecosystem services but their vegetation and related services may be impacted by environmental changes. Habitat mapping is a key step to monitor the spatio-temporal dynamics of vegetation and detect on-going changes. However, it is still a challenge to produce reliable vegetation maps at the regional scale. This study aims to evaluate the potential of new Landsat-8 imageries (acquired in September and December 2013) for mapping fine-grained plant communities in coastal marshlands. Fieldbased vegetation maps were collected for 270 km of marshlands along the French Atlantic coast. In order to be identifiable on the satellite image, fine-grained vegetationunits were aggregated into fewer plant community combinations. The classification accuracy was assessed by comparison with field-based vegetation data and compared between the supervised methods used, including Minimum Distance, Mahalanobis, Maximum Likelihood, Random Forest and Support Vector Machine. The best result was obtained with the Maximum Likelihood classifier and by combining the twoLandsat-8 images (85.9 % accuracy overall). Three main habitat types dominated the coastal Atlantic marshlands: croplands, Trifolio maritimae-Oenantheto silaifoliae geosigmetum and Puccinellio maritimae-Arthrocnemeto fruticosi geosigmetum. The reliability of the vegetation map produced will provide a good basis for monitoring the conservation status of the various habitats

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“…2) involved the use of Landsat TM data acquired in February 2009, Digital Elevation Model, and a site specific information file in order to predict the potential impacts of sea level rise on the coastal wetlands. Preprocessing (geometric and radiometric corrections) and supervised classification of Landsat TM satellite data were carried out (Akumu et al 2010) in order to generate the wetland categories found in the north-eastern region of NSW using ER Mapper Version 7.1. The wetland categories classified were: Mangroves and saltmarshes, dunal wetlands, coastal swamps, coastal upland water bodies, estuarine water bodies and forested wetlands.…”

Section: Sea Level Rise Projectionmentioning

confidence: 99%

Examining the potential impacts of sea level rise on coastal wetlands in north-eastern NSW, Australia

et al. 2010

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The coastal wetlands of north-eastern New South Wales (NSW) Australia are increasingly being affected by anthropogenic factors such as urbanisation, residential development and agricultural development. However, little is known about their vulnerability to sea level rise as a result of climate change. The aim of this research is to predict the potential impact of sea level rise (SLR) on the coastal wetland communities. Sea Level Affecting Marshes Model (SLAMM) was used to predict the potential impacts of sea level rise. Geographic Information System (GIS) was used for mapping and analysis. It was found that a meter rise in sea level could decrease coastal wetlands such as Inland fresh marshes from about 225.67 km 2 in February 2009 to about 168.04 km 2 by the end of the century in north-eastern NSW, Australia. The outcomes from this research can contribute to enhancing wetland conservation and management in NSW.

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Monitoring coastal wetland communities in north-eastern NSW using ASTER and Landsat satellite data

Abstract: The coastal wetland communities of north-eastern New South Wales (NSW) Australia exist in a subtropical climate with high biodiversity and are affected by anthropogenic and natural stressors such as urbanization and climate change.

Cited by 20 publications

References 5 publications

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Use of bi-Seasonal Landsat-8 Imagery for Mapping Marshland Plant Community Combinations at the Regional Scale

Examining the potential impacts of sea level rise on coastal wetlands in north-eastern NSW, Australia

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