國立虎尾科技大學 |

Data Driven Applications in Coastal Geomorphology.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Data Driven Applications in Coastal Geomorphology./
作者:	Lundine, Mark.
面頁冊數:	1 online resource (320 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
標題:	Ocean engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798380376563

Data Driven Applications in Coastal Geomorphology.
Lundine, Mark.

Data Driven Applications in Coastal Geomorphology. - 1 online resource (320 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--University of Delaware, 2023.

Includes bibliographical references

Our ability to digitally capture coastal processes and landforms has progressed immensely in the last several decades. Satellite-based, drone-based, surface vessel-based, and underwater vehicle-based platforms carrying sensors like multispectral cameras, LiDAR, and sonar allow us to image the texture and topography of the subaerial and subaqueous coastal landscape at high resolution and accuracy. Consequently, our improvements in data collection have exceeded our ability to analyze and discern patterns from said datasets. In this dissertation, I will present several applications of using data-driven methods (e.g., convolutional neural networks) to analyze coastal processes and landforms. This includes the detection and characterization of widespread sandy depressions on the Atlantic Coastal Plain (Carolina Bays), the detection and characterization of seabed fluid-escape depressions on the continental shelf (pockmarks), and satellite-based analysis/prediction of shoreline change.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380376563Subjects--Topical Terms:

857658
Ocean engineering.
Subjects--Index Terms:

Machine learningIndex Terms--Genre/Form:

554714
Electronic books.

Data Driven Applications in Coastal Geomorphology.
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