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Uncertainty analysis on photogrammet...

Yao, Fang.

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Uncertainty analysis on photogrammetry-derived national shoreline.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty analysis on photogrammetry-derived national shoreline./
作者:	Yao, Fang.
面頁冊數:	107 p.
附註:	Source: Masters Abstracts International, Volume: 53-01.
Contained By:	Masters Abstracts International53-01(E).
標題:	Remote sensing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1525652
ISBN:	9781321102680

Uncertainty analysis on photogrammetry-derived national shoreline.
Yao, Fang.

Uncertainty analysis on photogrammetry-derived national shoreline. - 107 p.

Source: Masters Abstracts International, Volume: 53-01.

Thesis (M.S.)--University of New Hampshire, 2014.

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

Photogrammetric shoreline mapping remains the primary method for mapping the national shoreline used by the National Geodetic Survey (NGS) in the National Oceanic and Atmospheric Administration (NOAA). To date, NGS has not conducted a statistical analysis on the photograrnmetry-derived shoreline uncertainty. The aim of this thesis is to develop and test a rigorous total propagated uncertainty (TPU) model for shoreline compiled from both tide-coordinated and non-tide-coordinated aerial imagery using photogrammetric methods. Survey imagery collected over a study site in northeast Maine was used to test the TPU model. The TPU model developed in this thesis can easily be extended to other areas and may facilitate estimation of uncertainty in inundation models and marsh migration models.

ISBN: 9781321102680Subjects--Topical Terms:

535394
Remote sensing.

Uncertainty analysis on photogrammetry-derived national shoreline.
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520 $a Photogrammetric shoreline mapping remains the primary method for mapping the national shoreline used by the National Geodetic Survey (NGS) in the National Oceanic and Atmospheric Administration (NOAA). To date, NGS has not conducted a statistical analysis on the photograrnmetry-derived shoreline uncertainty. The aim of this thesis is to develop and test a rigorous total propagated uncertainty (TPU) model for shoreline compiled from both tide-coordinated and non-tide-coordinated aerial imagery using photogrammetric methods. Survey imagery collected over a study site in northeast Maine was used to test the TPU model. The TPU model developed in this thesis can easily be extended to other areas and may facilitate estimation of uncertainty in inundation models and marsh migration models.
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