Remote sensing of biomass of salt marsh vegetation in France

Gross, Michael F.; Klemas, V.; Levasseur, J. E.

doi:10.1080/01431168808954863

Cited by 15 publications

(3 citation statements)

References 13 publications

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“…Various papers report on remote sensing of intertidal sediments and vegetation (Gross 1988, Zacharias et al 1992, Yates et al 1993, Clark et al 1997 ). Airborne techniques have been used for monitoring river delta wetlands (Jensen et al 1987 ) and for mapping algae in rivers (Jupp et al 1994 ).…”

Section: Introductionmentioning

confidence: 99%

Supervised versus unsupervised methods for classification of coasts and river corridors from airborne remote sensing

Thomson¹

1998

International Journal of Remote Sensing

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Section: Introductionmentioning

confidence: 99%

Supervised versus unsupervised methods for classification of coasts and river corridors from airborne remote sensing

Thomson¹

1998

International Journal of Remote Sensing

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“…The potential of remotesensing for mapping and monitoring intertidal areas has been realized and successfully applied by workers using both aerial photography and satellite-imagery (Folving 1984, Doerffer & Murphy 1989. Previous studies have demonstrated that airborne and satellite sensors can provide ecologically useful information on coastal habitats, for example on intertidal vegetation (Bartlett & Klemas 1982, Hardisky et al 1983, Gross et al 1988, Klemas et al 1992, Donoghue et al 1994, suspended sediments (Collins & Pattiaratchi 1984, Curran et al 1987, Bhargava & Mariam 1992, Chen et al 1992, Harrington et al 1992, Bryant et al 1996 and surface sediments (Yates et al 1993) across extensive areas and under different tidal and phenological conditions. Many of these studies used broad-band spectral data recorded with instruments such as the Landsat Thematic Mapper (TM).…”

Section: Abstract: Chlorophyll a · Reflectance Spectra · Microphytobmentioning

confidence: 99%

Comparison of simple techniques for estimating chlorophyll a concentration in the intertidal zone using high spectral-resolution field-spectrometer data

Carrère¹,

Spilmont²,

Davoult³

2004

Mar. Ecol. Prog. Ser.

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“…Colour photography, and more particularly, false colour infrared photography has been used to map the distribution of benthic algae (Cameron, 1950;Grimes, 1971;Hubbard & Grimes, 1972) and to subsequently estimate the biomass of certain areas (Meulstee et al, 1986(Meulstee et al, , 1988Gross et al, 1988).…”

Section: Introductionmentioning

confidence: 99%

Factor analysis and classification of remotely sensed data for monitoring tidal flats

Doerffer

Murphy

1989

Helgolander Meeresunters

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Interest in using remote sensing techniques, principally those involving satellite, in Wadden Sea research has centred on attempting a classification of the various sediment surface types present. Unlike most recent studies which have used mainly Landsat Multispectral Scanner data, we have assessed the feasibility of using Landsat Thematic Mapper data, which in conjunction with time series aerial photography, forms the basis of a strategy for remotely sensing the Wadden Sea. This paper focusses on an approach for extracting potentially "hidden" within-pixel information from multispectral data sets. A hierarchical (unsupervised) classification of a Thematic Mapper image successfully classified five different classes, including land, saltmarsh, water, cloud and tidal flat areas. This procedure thus enabled a "masking-out" of all classes other than those classified as tidal flat, following which a factor analysis was used to determine the minimum number of independent factors necessary to explain the observed variation in the signal received by the satellite. Three factors accounted for a total of 82 % of the variation in all seven TM channels. Preliminary studies of the primary factor (score) image shows a good correlation with existing latterday cartographic data. Considering the proximate relationship between topography and other important biotic and abiotic sedimentary characteristics, this approach may prove valuable for future applications of satellite data for monitoring long-term change in physical and thus biological Wadden Sea characteristics. Ongoing research efforts are focussing on a classification and quantification of sub-pixel patchiness using aerial photography and ground surveys. The approaches taken and results obtained to date are discussed.

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Remote sensing of biomass of salt marsh vegetation in France

Cited by 15 publications

References 13 publications

Supervised versus unsupervised methods for classification of coasts and river corridors from airborne remote sensing

Supervised versus unsupervised methods for classification of coasts and river corridors from airborne remote sensing

Comparison of simple techniques for estimating chlorophyll a concentration in the intertidal zone using high spectral-resolution field-spectrometer data

Factor analysis and classification of remotely sensed data for monitoring tidal flats

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