Water quality monitoring in estuarine waters using the landsat thematic mapper

Lavery, Paul S.; Pattiaratchi, Charitha; Wyllie, A.; Hick, P.

doi:10.1016/0034-4257(93)90047-2

Cited by 120 publications

(56 citation statements)

References 11 publications

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“…All the images were corrected for removing atmospheric effects by subtracting the radiance of a "dark pixel" within each band image (Lavery et al, 1993), and were geo-referenced and rectified following the procedure by Serra et al (2003). The information extraction method of shoreline is important in the study because the border line of land and water is impacted greatly by tides for a gentle beach slope (0.2-0.7 ‰) in the Yellow River Delta.…”

Section: Methodsmentioning

confidence: 99%

Effects of water discharge and sediment load on evolution of modern Yellow River Delta, China, over the period from 1976 to 2009

et al. 2011

Biogeosciences

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Abstract. The Yellow River, which is the second largest river in China, is regarded as the world's largest contributor of fluvial sediment load to the ocean. In recent decades, the dramatic reduction in water discharge and sediment load due to climate change and human activities in the drainage basin has greatly constrained the evolution process of Yellow River delta. We highlight how runoff and sediment load discharged into sea affected extension of shoreline length and area of modern Yellow River delta dur- [1976][1977][1978][1979][1980][1981][1982][1983][1984][1985]. Since 1996 however, the average increase rate of shoreline length and area decreased to ∼0.80 km yr −1 and ∼3.94 km 2 yr −1 , respectively. In addition, the fluctuated changes of shoreline and area were great and the net negative increase of land area was occurred during this period. There exist significant exponential relaCorrespondence to: J. Yu (junbao.yu@gmail.com) tionships between the accumulated sediment load and extensions of shoreline length and the area during the evolution of the modern Yellow River Delta. Our results indicate that the evolution of shoreline and change of area of the Yellow River Delta are directly affected by the dramatic reduction of runoff and sediment load, which are much close related human being activities in Yellow River drainage basin in recent decades.

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Section: Methodsmentioning

confidence: 99%

Effects of water discharge and sediment load on evolution of modern Yellow River Delta, China, over the period from 1976 to 2009

et al. 2011

Biogeosciences

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“…11,12 Level 2 preprocessed images of the Landsat 5 TM, covering the PSR estuary and adjacent ocean, were obtained from the Brazilian's National Institute for Space Research (INPE) database. The five spectral bands of the visible and near-medium infrared were used for the analysis (Table 1).…”

Section: Satellite Datamentioning

confidence: 99%

“…The sensor has 30 m of nominal spatial resolution, which gives good details for medium scale areas, and 6 spectral bands located in the visible and infrared region that may be applied for mapping coastal and inland waters. [11][12][13][14] Coastal areas, especially with the presence of river runoff, are characterized by complex waters due to the mixture of optically active substances (OAS), such as inorganic sediments, organic colored dissolved substances, and photosynthetic pigments. 15 To separate water types with the dominant constituents in these optically complex systems, is not a trivial task.…”

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confidence: 99%

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

Rudorff

Kampel

Rezende

2011

J. Appl. Remote Sens

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Abstract. Coastal zones are influenced by oceanic, atmospheric, and continental forces, which make them highly vulnerable to climate and anthropogenic changes. The Paraíba do Sul River (PSR) Estuary (Brazil), is especially affected by intensive industrial, urban, and rural activities, along its catchment area. Few works, though, have been done concerning the impacts of these changes. Remote sensing is, thus, an important and unique tool to assess the past scenes for a temporal analysis. The present work aimed to analyze spatial-temporal trends of the PSR plume from 1985 to 2009, using Landsat 5 TM images. Two spectral classification methods were used to map the river plume: maximum likelihood and spectral linear mixture analysis (SLMA). The images corresponded to the months of greatest river discharge, totalizing 11 cloud-free images. Geographical, radiometric, and atmospheric corrections were applied to the five spectral bands used for the classification. Both methods showed good results, however the SLMA provided more information of the water constituent's distribution. The sediment river plume and inner shelf phytoplankton dominated waters showed a negative trend associated with a diminishing of the river discharge. Further works concern in situ validation of the classifications, biooptical modeling, and more investigations of climate and anthropogenic changes on the PSR.C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…So far the SDD has become the universally accepted tool to measure water transparency [17][18][19][20][21]. Water quality in the form of the water transparency in the visual region is very important for hydro-optical application [22].…”

Section: Introductionmentioning

confidence: 99%

A Semi-empirical Algorithm of Water Transparency at the Green Wavelength Band of Optical Remote Sensing

Zhang¹,

Pulliainen²,

Koponen³

et al. 2002

PIER

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Abstract-This study employed water transparent characteristics from the Gulf and archipelago of Finland and the corresponding data sets of optical sensors at the green wavelength band to estimate Secchi disk depth (SDD). The SDD is one major optical measurement of water transparency in the study area, where the coastal waters are dominated by absorption from both dissolved and particulate organic matter since the Gulf is optically dominated by scattering from suspended sediments. Concurrent in situ measurements, Landsat TM and simulated SeaWiFS data were obtained in August 1997. The results show that the SDD from the narrow green bandwidth (20 nm) data of simulated SeaWiFS is slightly better than the SDD from the broad green bandwidth (80 nm) data of TM using the semi-empirical algorithm developed in the study. The study of water transparent characteristics in the area still needs to be further investigated using SeaWiFS, MODIS and MERIS in the future.

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Water quality monitoring in estuarine waters using the landsat thematic mapper

Cited by 120 publications

References 11 publications

Effects of water discharge and sediment load on evolution of modern Yellow River Delta, China, over the period from 1976 to 2009

Effects of water discharge and sediment load on evolution of modern Yellow River Delta, China, over the period from 1976 to 2009

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

A Semi-empirical Algorithm of Water Transparency at the Green Wavelength Band of Optical Remote Sensing

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