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Estimating Coastal Water Turbidity U...

Huang, Chih-Wei.

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Estimating Coastal Water Turbidity Using VIIRS Nighttime Measurement.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Estimating Coastal Water Turbidity Using VIIRS Nighttime Measurement./
作者:	Huang, Chih-Wei.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	95 p.
附註:	Source: Masters Abstracts International, Volume: 80-12.
Contained By:	Masters Abstracts International80-12.
標題:	Physical oceanography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13813400
ISBN:	9781392229163

Estimating Coastal Water Turbidity Using VIIRS Nighttime Measurement.
Huang, Chih-Wei.

Estimating Coastal Water Turbidity Using VIIRS Nighttime Measurement. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 95 p.

Source: Masters Abstracts International, Volume: 80-12.

Thesis (M.S.)--University of South Florida, 2019.

This item is not available from ProQuest Dissertations & Theses.

Coastal water turbidity is a key environmental factor that influences the relative clarity of the water, which therefore reduces sunlight penetration. The comprehensive spatial and temporal coverage of remote sensing allows mapping of water turbidity near the coast. Even in locations where time-consuming and expensive conventional turbidity monitoring programs exist, local technological limitations prevent complete coverage. Traditional optical satellite techniques using the visible band also have limitations in monitoring turbidity due to non-optimal observing conditions such as clouds, sun-glint, and thick aerosols. In this study, in order to complement the daytime satellite measurements, I used the data from Visible Infrared Imaging Radiometer Suite Day-Night-Band (VIIRS DNB), which provides 750 m spatial resolution for a wide band (500 - 900 nm) during nighttime imaging. There were two objectives in this study: (1) Determine the contribution that the nighttime DNB data would provide for estimating turbidity, compared to the VIIRS daytime contribution. (2) Quantify turbidity from the nighttime DNB data in the coastal region. In the Northern Gulf of Mexico, the results showed that the mean monthly nighttime DNB data over the two years can contribute 42.9% of the total usable day and night water pixels. The nighttime DNB data can provide 32.5% of total day and night water pixels that can be used to estimate turbidity, within ±4 days of a full moon. The VIIRS nighttime DNB reflectance data showed a poor relationship with daytime estimated turbidity (R2=0.61) with a standard error of 7.4 FNU. The mean relative bias and error were 53.5% and 82.3%. The method used in this study shows promise, but currently still has high uncertainties and errors. Several reasons for these uncertainties and errors were discussed. This study suggests that nighttime DNB data might be useful if uncertainties are reduced through further algorithm development. If so, then during the week of a full moon, nighttime DNB data could be used to calculate nighttime turbidity.

ISBN: 9781392229163Subjects--Topical Terms:

3168433
Physical oceanography.
Subjects--Index Terms:

DNB

Estimating Coastal Water Turbidity Using VIIRS Nighttime Measurement.
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500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Hu, Chuanmin.
502 $a Thesis (M.S.)--University of South Florida, 2019.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a Coastal water turbidity is a key environmental factor that influences the relative clarity of the water, which therefore reduces sunlight penetration. The comprehensive spatial and temporal coverage of remote sensing allows mapping of water turbidity near the coast. Even in locations where time-consuming and expensive conventional turbidity monitoring programs exist, local technological limitations prevent complete coverage. Traditional optical satellite techniques using the visible band also have limitations in monitoring turbidity due to non-optimal observing conditions such as clouds, sun-glint, and thick aerosols. In this study, in order to complement the daytime satellite measurements, I used the data from Visible Infrared Imaging Radiometer Suite Day-Night-Band (VIIRS DNB), which provides 750 m spatial resolution for a wide band (500 - 900 nm) during nighttime imaging. There were two objectives in this study: (1) Determine the contribution that the nighttime DNB data would provide for estimating turbidity, compared to the VIIRS daytime contribution. (2) Quantify turbidity from the nighttime DNB data in the coastal region. In the Northern Gulf of Mexico, the results showed that the mean monthly nighttime DNB data over the two years can contribute 42.9% of the total usable day and night water pixels. The nighttime DNB data can provide 32.5% of total day and night water pixels that can be used to estimate turbidity, within ±4 days of a full moon. The VIIRS nighttime DNB reflectance data showed a poor relationship with daytime estimated turbidity (R2=0.61) with a standard error of 7.4 FNU. The mean relative bias and error were 53.5% and 82.3%. The method used in this study shows promise, but currently still has high uncertainties and errors. Several reasons for these uncertainties and errors were discussed. This study suggests that nighttime DNB data might be useful if uncertainties are reduced through further algorithm development. If so, then during the week of a full moon, nighttime DNB data could be used to calculate nighttime turbidity.
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653 $a Reflectance
653 $a Remote sensing
653 $a Sediment front
653 $a VIIRS
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