Remote sensing of Lake Chicot, Arkansas: Monitoring suspended sediments, turbidity, and Secchi depth with Landsat MSS data

Harrington, John A.; Schiebe, Frank R.; Nix, J.

doi:10.1016/0034-4257(92)90137-9

Cited by 113 publications

(59 citation statements)

References 12 publications

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“…It has been recognised since long that remote sensing can be used to monitor the distribution of sediment plumes in coastal environments (e.g., Harrington et al, 1992;Ruhl et al, 2001;Hu et al, 2004). Water quality assessment of ocean and inland waters using satellite data has been carried out since the first remote sensing satellite Landsat-MSS became operational (Thiemann & Kaufmann, 2002).…”

Section: Mapping Sediment Concentrations and Light Climatementioning

confidence: 99%

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Ferwerda¹,

Leeuw

Atzberger³

et al. 2007

Hydrobiologia

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Decline of seagrasses has been documented in many parts of the world. Reduction in water clarity, through increased turbidity and increased nutrient concentrations, is considered to be the primary cause of seagrass loss. Recent studies have indicated the need for new methods that will enable early detection of decline in seagrass extent and productivity, over large areas. In this review of current literature on coastal remote sensing, we examine the ability of remote sensing to serve as an information provider for seagrass monitoring. Remote sensing offers the potential to map the extent of seagrass cover and monitor changes in these with high accuracy for shallow waters. The accuracy of mapping seagrasses in deeper waters is unclear. Recent advances in sensor technology and radiometric transfer modelling have resulted in the ability to map suspended sediment, sea surface temperature and below-surface irradiance. It is therefore potentially possible to monitor the factors that cause the decline in seagrass status. When the latest products in remote sensing are linked to seagrass production models, it may serve as an early-warning system for seagrass decline and ultimately allow a better management of these susceptible ecosystems.

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Section: Mapping Sediment Concentrations and Light Climatementioning

confidence: 99%

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Ferwerda¹,

Leeuw

Atzberger³

et al. 2007

Hydrobiologia

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“…For example, remote sensing methods have been developed for operational large-scale monitoring of chlorophyll concentration and suspended materials (Kloiber et al 2000, Harma et al 2001, Wiangwang et al 2006. Several studies have shown that imagery from Landsat sensors can be used in the estimation of Secchi depth (SD), chlorophyll-a (Chl-a) concentration, turbidity and total suspended solids (Tassan 1987, Harrington et al 1992, Dekker and Peters 1993, Pattiaratchi et al 1994, Keiner and Yan 1998, Nellis et al 1998, Allee and Johnson 1999, Roelfsema et al 2001. These remote sensing methods were shown to be effective in reducing the experimental cost and labour (Khorram andCheshire 1985, Lathrop 1992).…”

Section: Introductionmentioning

confidence: 99%

Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data

et al. 2010

International Journal of Remote Sensing

111

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“…Several studies have recognized the importance of remote sensing in identifying elements in the water column such as suspended sediment and chlorophyll (Harrington Junior et al, 1992;Hedger et al, 2002;Assireu et al, 2011). In reservoirs, those elements are good indicators of sediment and nutrient dynamics.…”

Section: Introductionmentioning

confidence: 99%

Spatial variations in fish assemblage structure in a southeastern Brazilian reservoir

et al. 2016

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We assessed the fish assemblage structure and composition of Nova Ponte Reservoir (Araguari River, Upper Paraná Basin, Brazil). We observed significant differences in abundance (p = 0.0003), richness (p = 0.0005) and diversity (p = 0.02) between lacustrine and riverine zones of the reservoir. Nine species were significantly more abundant in the riverine region: Astyanax altiparanae, Astyanax gr. fasciatus, Galeocharax knerii, Hoplias intermedius, Hypostomus sp., Leporinus friderici, Leporinus obtusidens, Pimelodus maculatus and Schizodon nasutus. The results indicated a longitudinal gradient in the composition and abundance of fishes in Nova Ponte Reservoir, reinforcing the importance of freely flowing riverine reaches for conserving native neotropical ichthyofauna and reflecting the strong adaptation of these species to riverine systems.Keywords: fish community, Upper Paraná River Basin, spatial gradient. Variações espaciais na estrutura das assembléias de peixes em um reservatório do sudeste do Brasil ResumoEste estudo avaliou a assembléia de peixes do reservatório de Nova Ponte (rio Araguari, bacia do Alto Paraná, Brasil), em termos de estrutura e composição. Foram observadas diferenças significativas na abundância (p = 0.0003), riqueza (p = 0.0005) e diversidade (p = 0.02) entre as zonas lacustres e fluviais do reservatório. Nove espécies foram mais abundantes na região fluvial: Astyanax altiparanae, Astyanax gr. fasciatus, Galeocharax knerii, Hoplias intermedius, Hypostomus sp., Leporinus friderici, Leporinus obtusidens, Pimelodus maculatus and Schizodon nasutus. Os resultados indicaram a existência de um gradiente longitudinal na composição e abundância de peixes no reservatório de Nova Ponte. Estes padrões reforçam a importância de trechos fluviais livres de barramentos para a conservação da ictiofauna neotropical nativa e refletem a forte adaptação dessas espécies aos sistemas fluviais.Palavras-chave: comunidade de peixes, Bacia do Alto Rio Paraná, gradiente espacial.

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Remote sensing of Lake Chicot, Arkansas: Monitoring suspended sediments, turbidity, and Secchi depth with Landsat MSS data

Cited by 113 publications

References 12 publications

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments

Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data

Spatial variations in fish assemblage structure in a southeastern Brazilian reservoir

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