1989
DOI: 10.1016/0034-4257(89)90103-x
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Remote sensing and numerical modeling of suspended sediment in Laguna de terminos, Campeche, Mexico

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Cited by 25 publications
(16 citation statements)
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“…Satellite sensors, such as ocean color sensors like the Coastal Zone Color Scanner (CZCS), the Sea-viewing Wide Field-ofview Sensor (SeaWiFS), the Medium Resolution Imaging Spectrometer (MERIS), and the Moderate Resolution Imaging Spectroradiometer (MODIS); and land-use sensors such as the Landsat series and EO-1 Advanced Land Imager (ALI), each with various spectral and spatial-temporal resolutions, can provide synoptic water quality data . There have been efforts to estimate water quality using ocean color sensors data (Chen et al, 2009aHu et al, 2004;Wang et al, 2011), and land-use sensors data (Chen et al, 2009b;Hui et al, 2008;Jenson et al, 1989;Lathrop et al, 1990;Oyama et al, 2009;Wang et al, 2004;Wu et al, 2008). Although ocean color sensors have short revisit times with high spectral resolution and sensitivity, the spatial resolution is typically too coarse to describe water quality features adequately (e.g., the highest spatial resolution of MODIS is only 250 m), and the long revisit time of land-use sensors (e.g., the revisit time for Landsat TM is 16 days), makes these data inadequate to monitor water quality variation in dynamic water bodies.…”
Section: Introductionmentioning
confidence: 99%
“…Satellite sensors, such as ocean color sensors like the Coastal Zone Color Scanner (CZCS), the Sea-viewing Wide Field-ofview Sensor (SeaWiFS), the Medium Resolution Imaging Spectrometer (MERIS), and the Moderate Resolution Imaging Spectroradiometer (MODIS); and land-use sensors such as the Landsat series and EO-1 Advanced Land Imager (ALI), each with various spectral and spatial-temporal resolutions, can provide synoptic water quality data . There have been efforts to estimate water quality using ocean color sensors data (Chen et al, 2009aHu et al, 2004;Wang et al, 2011), and land-use sensors data (Chen et al, 2009b;Hui et al, 2008;Jenson et al, 1989;Lathrop et al, 1990;Oyama et al, 2009;Wang et al, 2004;Wu et al, 2008). Although ocean color sensors have short revisit times with high spectral resolution and sensitivity, the spatial resolution is typically too coarse to describe water quality features adequately (e.g., the highest spatial resolution of MODIS is only 250 m), and the long revisit time of land-use sensors (e.g., the revisit time for Landsat TM is 16 days), makes these data inadequate to monitor water quality variation in dynamic water bodies.…”
Section: Introductionmentioning
confidence: 99%
“…It is based upon scant measurements of currents, water level, temperature and salinity (Mancilla-Peraza and Vargas-Flores 1980;Candela 1983;Jensen et al 1989;David and Kjerfve 1998;Espinal-González 2002;Kjerfve et al 1988). Those studies are based on the measurements of periods smaller than 3 months and involve limited spatial coverage.…”
Section: Introductionmentioning
confidence: 99%
“…Those studies are based on the measurements of periods smaller than 3 months and involve limited spatial coverage. Semi-permanent southwestward circulation has been observed; the water masses preferentially enter into the lagoon via the PtR inlet and leave it through the CdC inlet (MancillaPeraza and Vargas-Flores 1980;Jensen et al 1989;David and Kjerfve 1998). Nevertheless, during the winter season, during the occurrence of northers, the lagoon responds to the external circulation with increased water level and modification of the mean circulation (David and Kjerfve 1998;Candela 1983;Espinal-González 2002).…”
Section: Introductionmentioning
confidence: 99%
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“…A number of satellite and airborne remote sensing instruments, such as the Landsat Thematic Mapper (TM) [10,11], the Coastal Zone Color Scanner (CZCS) [6,12], the Advanced Very High Resolution Radiometer (AVHRR) [13,14], the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) [15,16], the Moderate Resolution Imaging Spectroradiometer (MODIS) [17,18], Ocean Colour Monitor (OCM) onboard the Indian Remote Sensing Satellite (IRS-P4) [19] and the Medium-resolution imaging spectrometer (MERIS) [20,21] have been widely used to infer suspended sediment concentration in inland rivers and coastal waters. In most cases, these satellite-derived SSC fields are subsequently integrated into a numerical model for modeling the suspended sediment transport and outcomes.…”
Section: Introductionmentioning
confidence: 99%