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DTSTART;TZID=America/New_York:20230809T130000
DTEND;TZID=America/New_York:20230809T133000
DTSTAMP:20260506T015324
CREATED:20230806T191545Z
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UID:4231-1691586000-1691587800@www.cessrst.org
SUMMARY:NOAA Seminar Series: Mapping and monitoring turbidity in estuaries using remote sensing
DESCRIPTION:Title: Mapping and monitoring turbidity in estuaries using remote sensing and in-situ measurements \nSpeaker: Stephany Garcia\, NOAA EPP/MSI CESSRST-II Fellow at SDSU \nDate: August 9\, 20223 \nTime: 1:00 PM ET \nVenue: Virtual \nMeeting Link :  meet.google.com/xjr-zfee-aet \nPhone Number\n(‪US‬)‪+1 219-321-0478‬\nPIN: ‪651 945 406#‬ \nLearn more about the speaker \nAbstract: \nSatellite imagery of Southern California’s Tijuana River Outlet shows frequent turbid water plumes extending out into coastal water after storms and cross border flow events (Ayad et al.\, 2020). Turbid water has high concentrations of organic and inorganic materials that can carry harmful bacteria and pathogens (Warrick et al.\, 2012). In fresh and saline water systems\, such as estuaries\, water reflectance can reveal information about the biological productivity at different trophic states\, benthic environment suppression\, nutrient cycling\, and the overall habitat quality for water-dependent organisms (Barbier et al.\, 2011; Topp et al.\, 2020). However\, reflectance-based turbidity mapping is complicated by atmospheric conditions\, clouds\, and the reflectance of bottom materials in shallow water. Understanding the timing\, frequency\, and duration of turbid water events is often site-specific\, because of regional climate\, varying anthropogenic pressures\, sediment loading rates\, and geology (Elliott & McLusky\, 2002). For my NERTO\, a shallow water turbidity algorithm was used to identify turbidity hotspots in the tidal inland channels of TRNERR using the Sentinel-2 satellites. The goal was to quantify the accuracy of turbidity maps created from remote sensing by conducting Kayak Surveys and testing the water for suspended sediment concentrations (SSC) and Loss on Ignition (LOI). Initial findings revealed that ordering and receiving materials post-COVID was not possible in the course during a three-month NERTO period. Additionally\, because of high contamination levels in the TJR Estuary\, fieldwork was often prohibited. Moreover\, because the data sondes we are using have 6+ sensors\, equipment knowledge\, and troubleshooting became an essential part of my NERTO experience \n 
URL:https://www.cessrst.org/event/noaa-seminar-series-mapping-and-monitoring-turbidity-in-estuaries-using-remote-sensing/
CATEGORIES:NOAA Seminar Series,Seminar Series
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DTSTART;TZID=America/New_York:20230809T133000
DTEND;TZID=America/New_York:20230809T140000
DTSTAMP:20260506T015324
CREATED:20230806T191953Z
LAST-MODIFIED:20230806T191953Z
UID:4234-1691587800-1691589600@www.cessrst.org
SUMMARY:NOAA Seminar Series: Uncertainties in the retrieval of remote sensing reflectance from OC satellite observations
DESCRIPTION:Title: Uncertainties in the retrieval of remote sensing reflectance from OC satellite observations \nSpeaker: Eder Herrera Estrella\, NOAA EPP/MSI CESSRST-II Fellow at CUNY \nDate: August 9\, 20223 \nTime: 1:30 PM ET \nVenue: Virtual \nMeeting Link :  meet.google.com/xjr-zfee-aet \nPhone Number\n(‪US‬)‪+1 219-321-0478‬\nPIN: ‪651 945 406#‬ \nLearn more about the speaker \nAbstract: \nUncertainties in retrieving remote sensing reflectance\, Rrs\, from Ocean Color (OC) satellite sensors have a substantial impact on the performance of algorithms\, such as for the estimation of chlorophyll-a concentrations\, and inherent optical properties (IOPs). The impact is highest in the blue bands\, especially in coastal waters with low blue-band Rrs values. Sunlight propagates to the water and back to the top of the atmosphere (TOA) with the total radiance measured by the sensor capturing the radiances related to the instantaneous state of in-water conditions\, sky\, and sunlight reflected from the wind-roughened wave facets and light scattered on molecules and aerosols in the atmosphere. All these components are associated with uncertainties\, which together with the effects of the instrument noise and uncertainties in aerosol models in the atmospheric correction process\, contribute to uncertainties in the retrieved water-leaving radiance and remote sensing reflectance. Assuming that these uncertainties are mostly proportional to the corresponding radiances and taking advantage of the differences in the spectra of these radiances\, we analyzed the contribution of the components above to the total Rrs uncertainties in the SNPP-VIIRS level 2products for multiple scenes in the open ocean and coastal waters at different spatial resolutions. Results are complemented by data from several AERONET-OC sites and the VIIRS validation/calibration cruises and showed that the Rayleigh component (molecular scattering and surface effects) is the main source of 𝑅𝑟𝑠 uncertainties for any water type followed by water variability\, which has a bigger role in coastal areas\, while the contributions of other components including aerosol scattering are usually smaller \n 
URL:https://www.cessrst.org/event/noaa-seminar-series-uncertainties-in-retrieval-of-remote-sensing-reflectance/
CATEGORIES:NOAA Seminar Series,Seminar Series
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