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Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring./
作者:	Luis, Kelly Mariko.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	164 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
Contained By:	Dissertations Abstracts International83-04B.
標題:	Remote sensing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28647935
ISBN:	9798460407316

Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring.
Luis, Kelly Mariko.

Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 164 p.

Source: Dissertations Abstracts International, Volume: 83-04, Section: B.

Thesis (Ph.D.)--University of Massachusetts Boston, 2021.

This item must not be sold to any third party vendors.

Ocean color remote sensing repositories store critical environmental information about our planet. As the impacts of climate change intensify in coastal and inland water bodies, effective utilization of remote sensing platforms is essential for environmental monitoring and real-time decision-making. Thus, this dissertation research develops, validates, and applies a remote sensing product for water clarity, an overall parameter of water quality. I investigate the impacts of individual sensor configurations on water clarity satellite products and evaluate statistical modeling approaches for bridging historical and present-day ocean color remote sensing platforms. This evaluation then informs the development and global validation of a new cross-sensor water clarity product. Finally, I apply this new product to the Stellwagen Bank National Marine Sanctuary to document multi-decadal water clarity change. Altogether, the effective utilization of ocean color data by this new water clarity product improves our spatial and temporal understanding of coastal and inland water quality change.

ISBN: 9798460407316Subjects--Topical Terms:

535394
Remote sensing.
Subjects--Index Terms:

Ocean color

Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring.
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245 1 0 $a Ocean Color Remote Sensing for Coastal and Inland Water Quality Monitoring.
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300 $a 164 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
500 $a Includes supplementary digital materials.
500 $a Advisor: Lee, Zhongping.
502 $a Thesis (Ph.D.)--University of Massachusetts Boston, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Ocean color remote sensing repositories store critical environmental information about our planet. As the impacts of climate change intensify in coastal and inland water bodies, effective utilization of remote sensing platforms is essential for environmental monitoring and real-time decision-making. Thus, this dissertation research develops, validates, and applies a remote sensing product for water clarity, an overall parameter of water quality. I investigate the impacts of individual sensor configurations on water clarity satellite products and evaluate statistical modeling approaches for bridging historical and present-day ocean color remote sensing platforms. This evaluation then informs the development and global validation of a new cross-sensor water clarity product. Finally, I apply this new product to the Stellwagen Bank National Marine Sanctuary to document multi-decadal water clarity change. Altogether, the effective utilization of ocean color data by this new water clarity product improves our spatial and temporal understanding of coastal and inland water quality change.
590 $a School code: 1074.
650 4 $a Remote sensing. $3 535394
650 4 $a Water resources management. $3 794747
653 $a Ocean color
653 $a Remote sensing
653 $a Coastal water quality monitoring
653 $a Inland water quality monitoring
690 $a 0799
690 $a 0595
710 2 $a University of Massachusetts Boston. $b Marine Sciences (PhD). $3 3685307
773 0 $t Dissertations Abstracts International $g 83-04B.
790 $a 1074
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28647935