Monitoring Vegetation Response to Episodic Disturbance Events by using Multitemporal Vegetation Indices

Steyer, Gregory D.; Couvillion, Brady R.; Barras, John A.

doi:10.2112/si63-011.1

Cited by 30 publications

(16 citation statements)

References 50 publications

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“…Previous investigations have examined the seasonal patterns in NDVI values by habitat type and have found that in coastal Louisiana NDVI values typically reach a peak in August (Steyer, Couvillion, and Barras, 2013). It is generally accepted that this peak corresponds to peak biomass.…”

Section: Ndvimentioning

confidence: 99%

Marsh Collapse Thresholds for Coastal Louisiana Estimated Using Elevation and Vegetation Index Data

Couvillion¹,

Beck²

2013

Journal of Coastal Research

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Louisiana's statewide LIDAR project began in 2000 largely in response to the high per capita and repetitive flood loss rates experienced by the FEMA, National Flood Insurance Program and the private insurance industry in the state. The LIDAR systems being used in the Louisiana project are accurate to 15-30 cm RMSE, depending upon land cover, and will support contours of 1'-2' vertical map accuracy standards. These accuracies meet FEMA standards for floodplain reevaluation studies and map modernization programs designed to update the Flood Insurance Rate Maps (FIRM).The project is being funded by FEMA with matching funds and deliverables distribution provided by the state of Louisiana. The area of the state is approximately 50,000 sq. mi. encompassing about 3500 quarter quadrangles (3.75-minute DEM tile size). Areas in procurement include all of SE Louisiana and the majority of the coastal zone. The project will proceed in six phases over six years with the first phase (554 quarter quads) and second phase (473 quarter quads) completed in 2003. Over 900, 5-meter DEM data files, 2-foot contours and associated metadata files have been delivered and can be found on the LSU Atlas web site (http://.atlas.lsu.edu). Approximately 550 additional LiDAR QQs are scheduled to be completed in 2004.

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Section: Ndvimentioning

confidence: 99%

Marsh Collapse Thresholds for Coastal Louisiana Estimated Using Elevation and Vegetation Index Data

Couvillion¹,

Beck²

2013

Journal of Coastal Research

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“…Several of the constructive and destructive processes described earlier may occur simultaneously (e.g. Mariotti and Fagherazzi, 2013;Smith et al, 2013;Bartholdy et al, 2014), with various timeframes and possibly time-lags. In a given salt marsh, it is therefore not always clear which (combination of) processes are responsible for the actual development of that particular marsh, especially when anthropogenic pressures interact with the autonomous behaviour.…”

Section: Introductionmentioning

confidence: 99%

Contrasting biogeomorphic processes affecting salt‐marsh development of the Mokbaai, Texel, The Netherlands

Baptist¹,

Groot²,

Duin³

2016

Earth Surf Processes Landf

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This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.ABSTRACT: The growth and decline of salt marshes may be the result of various interacting biogeomorphic processes and external factors. We present a case study of the Mokbaai on the Wadden island of Texel, where we assess the relative importance and the interaction between the biogeomorphic processes and various disturbances. We analysed changes in vegetation composition in the salt marsh and sedimentation-erosion patterns of the adjoining intertidal flat over a 30-year period. Vegetation underwent regression in the lower parts of the marsh, i.e. the low marsh zone changed into pioneer zone. Comparing elevation measurements from 2013 and 1983 showed that the adjoining intertidal flats eroded 15-25 cm. Maintenance dredging of a nearby harbour might negatively impact the sediment balance indicating that the regression of the lower parts of the salt marsh is caused by a lack of sediment. Simultaneously, a change in the local hydrology led to vegetation succession into high and brackish salt marsh, increased organic sediment production and consequently cliff formation. The results from this case study show that, even in a relatively small salt marsh, changes in external factors may set in motion a series of biogeomorphic processes and feedbacks, leading to locally contrasting trends in spatiotemporal development.

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“…In situ phenological studies in southeastern Louisiana have reported seasonal patterns of several species in bloom; as well as of live biomass of Distichlis spicata, Juncus roemerianus, Sagittaria falcata, Phragmites australis, Phragmites communis, Spartina cynosuroides, and Spartina patens from 1973to 1975, and of D. spicata, J. roemerianus, Spartina alterniflora, and S. patens from 1975to 1976(Hopkinson et al, 1978Penfound and Hathaway, 1938;White et al, 1978). Although the landscape-scale phenological curves of the marshes were recorded, the phenological metrics were not determined as the previous study was not designed for phenological studies (Steyer et al, 2013). Moreover, changes in marshes' biomass and species composition associated with extreme environmental events were reported (Lucas and Carter, 2013;Mishra et al, 2012;Visser et al, 2002), but the associated phenological variations were not examined.…”

Section: Introductionmentioning

confidence: 99%

Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes

Momen

Kearney

2015

Ecological Modelling

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Monitoring Vegetation Response to Episodic Disturbance Events by using Multitemporal Vegetation Indices

Cited by 30 publications

References 50 publications

Marsh Collapse Thresholds for Coastal Louisiana Estimated Using Elevation and Vegetation Index Data

Marsh Collapse Thresholds for Coastal Louisiana Estimated Using Elevation and Vegetation Index Data

Contrasting biogeomorphic processes affecting salt‐marsh development of the Mokbaai, Texel, The Netherlands

Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes

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