Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

Wang, Le; Sousa, Wayne P.; Gong, Peng; Biging, Gregory S.

doi:10.1016/j.rse.2004.04.005

Cited by 360 publications

(200 citation statements)

References 15 publications

(12 reference statements)

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“…The broadest extent of literature has emphasized defining individual plant reflectance spectra and optimizing spectral discrimination of vegetation classes [54][55][56][57][58][59][60][61][62][63][64]. Other studies have tested innovative approaches to classifying vegetation, including comparing use of different remote sensing data sources [65][66][67][68][69], testing object-based image analysis techniques [69][70][71][72][73][74][75], and other methods [76][77][78]. In addition to automated analysis methods, vegetation classes have long been digitized by hand [79][80][81].…”

Section: Invoking Multiple Stable State Theorymentioning

confidence: 99%

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

et al. 2015

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Multiple stable states are established in coastal tidal wetlands (marshes, mangroves, deltas, seagrasses) by ecological, hydrological, and geomorphological feedbacks. Catastrophic shifts between states can be induced by gradual environmental change or by disturbance events. These feedbacks and outcomes are key to the sustainability and resilience of vegetated coastlines, especially as modulated by human activity, sea level rise, and climate change. Whereas multiple stable state theory has been invoked to model salt marsh responses to sediment supply and sea level change, there has been comparatively little empirical verification of the theory for salt marshes or other coastal wetlands. Especially lacking is long-term evidence documenting if or how stable states are established and maintained at ecosystem scales. Laboratory and field-plot studies are informative, but of necessarily limited spatial and temporal scope. For the purposes of long-term, coastal-scale monitoring, remote sensing is the best viable option. This review summarizes the above topics and highlights the emerging promise and challenges of using remote sensing-based analyses to validate coastal OPEN ACCESS Remote Sens. 2015, 7 10185 wetland dynamic state theories. This significant opportunity is further framed by a proposed list of scientific advances needed to more thoroughly develop the field.

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Section: Invoking Multiple Stable State Theorymentioning

confidence: 99%

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

et al. 2015

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“…single subsurface building). Actually, QuickBird images have been successfully used for land and water resources monitoring [Sawaya et al, 2003], for mapping vegetation and land-use types [Wang et al, 2004] and for landslide evolution measurements [Delacourt et al, 2004], but the true potential of these data for archaeological investigations is still unknown.…”

Section: Introductionmentioning

confidence: 99%

QuickBird‐based analysis for the spatial characterization of archaeological sites: Case study of the Monte Serico medieval village

Lasaponara

Masini

2005

Geophysical Research Letters

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The potential of high‐resolution QuickBird satellite imagery for archaeological investigations is assessed in the well documented site of Monteserico Village in the Southern Italy. The considered test site presents complex topographical and morphological features, typical of many medieval settlements, which make archaeological prospection with any remote sensing technologies difficult. Results from our investigations showed that the QuickBird fused products can be a valuable data source for reconstructing the urban shape of buried settlements up to single building scale.

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“…Thus, there has been a trend for research to develop away from the mapping of broad land cover classes towards a focus on specific classes, often detailed classes such as tree species. Indeed, the latter application has become a focus of considerable attention and made use of data acquired by a range of remote sensing systems (Franklin, 2000;Nagendra, 2001;Brandtberg, 2002;Haara and Haarala, 2002;Brandtberg et al, 2003;Holmgren and Persson, 2003;Sanchez-Azofelfa et al, 2003;Turner et al, 2003;Carleer and Wolff, 2004;Wang et al, 2004;Goodwin et al, 2005;Boschetti et al, 2007 van Aardt andWynne, 2007). The derived information can aid both the assessment of biodiversity and its conservation Wilson et al,2004), especially as the spatial distribution of a species influences its ability to reproduce, compete and disperse as well as suffer damage or death.…”

mentioning

confidence: 99%

“…The derived information can aid both the assessment of biodiversity and its conservation Wilson et al,2004), especially as the spatial distribution of a species influences its ability to reproduce, compete and disperse as well as suffer damage or death. In terms of accuracy, it may now be possible to map some tree species from satellite sensor imagery to a level of accuracy that is comparable to that derived from the use of aerial sensor data (Carleer and Wolff, 2004;Wang et al, 2004). Fine spatial resolution imagery is, however, still often acquired by airborne sensors and there have been major developments in platforms (e.g.…”

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confidence: 99%

An overview of recent remote sensing and GIS based research in ecological informatics

Boyd

Foody

2011

Ecological Informatics

114

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This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of accuracy and uncertainty, data visualization and sharing activities as well as developments in aspects of ecological modeling research. It is shown that considerable advances have been made over recent years and foundations for future research established. BackgroundGeotechnology has been couched as one of the three "mega-technologies" of the 21 st century, along with nanotechnology and biotechnology (Gewin, 2004). On the cusp of the second decade of the 21 st century it is evident that recent developments in the geotechnologies of Geographic Information Science (GIS) and remote sensing have had a substantial impact on ecological research, providing spatial data and associated information to enable the further understanding of ecological systems (Rundell et al., 2009). In a digital society there is sometimes an expectation that information is just a click away and this may apply to spatial information in the domain of ecological informatics. Indeed, it has been in the last five years that developments in and relating to the fields of GIS and remote sensing, such as those seen in internet technologies (e.g., Web 2.0; high performance communication networks; Brunt et al., 2007), sensing technology (e.g., quantum well infrared photodetectors; Krabach, 2000), data standards and interoperability (e.g., OGC® KML 2.2) and spatially explicit modeling (e.g., Osborne et al., 2007), have resulted in the revelation of previously unobservable phenomena and posing of what might be termed second generation of ecological questions. During this time we have also seen more support for the open exchange of data and software and infrastructure for location based services. This paper serves as a review of some of the recent developments in GIS and remote sensing that have been or promises to be of benefit to ecological informatics. The subjects addressed are necessarily selective and limited in scope, drawing on topics of interest to us and, we hope, to you.

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Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

Cited by 360 publications

References 15 publications

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

QuickBird‐based analysis for the spatial characterization of archaeological sites: Case study of the Monte Serico medieval village

An overview of recent remote sensing and GIS based research in ecological informatics

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