Spatial heterogeneity in mangroves assessed by GeoEye-1 satellite data: a case-study in Zhanjiang Mangrove National Nature Reserve (ZMNNR), China

Leempoel, Kevin; Bourgeois, Carine; Zhang, J.; Wang, J.; Chen, M.; Satyaranayana, B.; Bogaert, Jan; Dahdouh‐Guebas, Farid

doi:10.5194/bgd-10-2591-2013

Cited by 5 publications

(3 citation statements)

References 35 publications

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“…The reserve is a Ramsar-listed wetland of international significance and supports nearly one-third of China's mangroves. Regionally, mangroves have declined due to agricultural developments, and extensive dyking restricts landward encroachment (Leempoel et al, 2013). However, within the reserve mangroves, dominated by A. marina, Aegiceras corniculatum and K. obovata, have expanded fourfold, including encroachment on salt marsh (Durango-Cordero et al, 2013).…”

Section: Northern Hemispherementioning

confidence: 99%

Mangrove expansion and salt marsh decline at mangrove poleward limits

Saintilan¹,

Wilson²,

Rogers

et al. 2013

Global Change Biology

532

344

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Mangroves are species of halophytic intertidal trees and shrubs derived from tropical genera and are likely delimited in latitudinal range by varying sensitivity to cold. There is now sufficient evidence that mangrove species have proliferated at or near their poleward limits on at least five continents over the past half century, at the expense of salt marsh. Avicennia is the most cold-tolerant genus worldwide, and is the subject of most of the observed changes. Avicennia germinans has extended in range along the USA Atlantic coast and expanded into salt marsh as a consequence of lower frost frequency and intensity in the southern USA. The genus has also expanded into salt marsh at its southern limit in Peru, and on the Pacific coast of Mexico. Mangroves of several species have expanded in extent and replaced salt marsh where protected within mangrove reserves in Guangdong Province, China. In south-eastern Australia, the expansion of Avicennia marina into salt marshes is now well documented, and Rhizophora stylosa has extended its range southward, while showing strong population growth within estuaries along its southern limits in northern New South Wales. Avicennia marina has extended its range southwards in South Africa. The changes are consistent with the poleward extension of temperature thresholds coincident with sea-level rise, although the specific mechanism of range extension might be complicated by limitations on dispersal or other factors. The shift from salt marsh to mangrove dominance on subtropical and temperate shorelines has important implications for ecological structure, function, and global change adaptation.

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Section: Northern Hemispherementioning

confidence: 99%

Mangrove expansion and salt marsh decline at mangrove poleward limits

Saintilan¹,

Wilson²,

Rogers

et al. 2013

Global Change Biology

532

344

View full text Add to dashboard Cite

show abstract

“…With high geometrical resolution sensors such as IKONOS, SPOT 5, a more detailed analysis is possible. Especially the very high resolution imagery such as WorldView-2, GeoEye could get more detail about context information (such as textural information or objectbased information) about canopy which was used to distinguish the tree species (Immitzer et al 2012;Leempoel et al 2013). However, due to the poor spectral information acquired by these multispectral sensors, they do not permit a detailed analysis to distinguish trees at species level (Jose and David 1996;Gong et al 1998;Chen et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Spectral and Texture Features Combined for Forest Tree species Classification with Airborne Hyperspectral Imagery

Dian

Pang

2014

J Indian Soc Remote Sens

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Forest precision classification products were the basic data for surveying of forest resource, updating forest subplot information, logging and management of forest. However, due to the diversity of stand structure, complexity of the forest growth environment, it is difficult to discriminate forest tree species using multi-spectral image. The airborne hyper-spectral images can obtain high spatial and spectral resolution imagery of forest canopy, so it may be useful for tree species level classification. The aim of this paper was to test the effective of combining spatial and spectral features in airborne hyper-spectral image classification. The CASI hyper spectral image data were acquired from Liangshui natural reserves area. First the MNF (minimum noise fraction) transform method for to reduce the hyperspectral image dimensionality and highlighting variation. Second, the grey level cooccurrence matrix (GLCM) is used to extract the texture features of forest tree canopy. Thirdly the texture and the spectral features of forest canopy were fused to classify the trees species using support vector machine (SVM) with different kernel functions. The results showed that when using the SVM classifier, MNF and texture-based features combined with linear kernel function can achieve the best overall accuracy which was 85.92 %. It also confirmed the belief that combined the spatial and spectral information can improve the accuracy of tree species classification.

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“…Finally, historical spy-satellite imagery can also provide information on past human pressures on ecosystems. For instance, historical logging has been mapped with spy imagery in the United States and Brazil (Song et al 2014 ), Romania (Nita et al 2018 ), Mali (Ruelland et al 2010 ), and China (Leempoel et al 2013 ). Spy imagery also showed how historical logging has interacted with industrial pollution to cause forest loss in the 1960s in boreal Russia (Rigina 2003 ).…”

Section: Recent and Current Applicationsmentioning

confidence: 99%

The potential of historical spy-satellite imagery to support research in ecology and conservation

Munteanu,

Kraemer,

Hansen

et al. 2024

BioScience

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Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species’ populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.

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Spatial heterogeneity in mangroves assessed by GeoEye-1 satellite data: a case-study in Zhanjiang Mangrove National Nature Reserve (ZMNNR), China

Cited by 5 publications

References 35 publications

Mangrove expansion and salt marsh decline at mangrove poleward limits

Mangrove expansion and salt marsh decline at mangrove poleward limits

Spectral and Texture Features Combined for Forest Tree species Classification with Airborne Hyperspectral Imagery

The potential of historical spy-satellite imagery to support research in ecology and conservation

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