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Vernal Pools Detection Using High-Re...

Jiang, Jiaxin.

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Vernal Pools Detection Using High-Resolution LiDAR Data and Aerial Imagery in Hubbardston, Massachusetts.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Vernal Pools Detection Using High-Resolution LiDAR Data and Aerial Imagery in Hubbardston, Massachusetts./
作者:	Jiang, Jiaxin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	55 p.
附註:	Source: Masters Abstracts International, Volume: 79-02.
Contained By:	Masters Abstracts International79-02.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10277062
ISBN:	9780355082821

Vernal Pools Detection Using High-Resolution LiDAR Data and Aerial Imagery in Hubbardston, Massachusetts.
Jiang, Jiaxin.

Vernal Pools Detection Using High-Resolution LiDAR Data and Aerial Imagery in Hubbardston, Massachusetts. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 55 p.

Source: Masters Abstracts International, Volume: 79-02.

Thesis (M.A.)--State University of New York at Binghamton, 2017.

This item must not be added to any third party search indexes.

Vernal pool refers to temporary or semi-permanent pools that occur in surface depressions without permanent inlets or outlets. Because they periodically dry out, vernal pools are free of fish and essential to amphibians, some reptiles, birds, and mammals for breeding habitats. In Massachusetts, vernal pool habitats are found in woodland depressions, swales or kettle holes where water is contained for at least two months in most years. However, vernal pools are delicate ecosystems. These systems are fragile to human activities such as urbanization. Understanding the current situation of vernal pools helps city planners make wiser decisions. This study focuses on identifying vernal pools in the state of Massachusetts with high-resolution light detection and ranging (LiDAR) data and aerial imagery. By using high-resolution light detection and ranging data, aerial imagery, land use data, the MassDEP Hydrography layer and the Soil Survey Geographic Database, the approach located over 1800 potential vernal pools in a 108 km 2 study area in Massachusetts. The assessment of the study result shows the commission rate was 5.6% and omission rate was 7.1%. This method provides an efficient way of locating vernal pools over large areas.

ISBN: 9780355082821Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

LiDAR

Vernal Pools Detection Using High-Resolution LiDAR Data and Aerial Imagery in Hubbardston, Massachusetts.
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500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Wu, Qiusheng.
502 $a Thesis (M.A.)--State University of New York at Binghamton, 2017.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a Vernal pool refers to temporary or semi-permanent pools that occur in surface depressions without permanent inlets or outlets. Because they periodically dry out, vernal pools are free of fish and essential to amphibians, some reptiles, birds, and mammals for breeding habitats. In Massachusetts, vernal pool habitats are found in woodland depressions, swales or kettle holes where water is contained for at least two months in most years. However, vernal pools are delicate ecosystems. These systems are fragile to human activities such as urbanization. Understanding the current situation of vernal pools helps city planners make wiser decisions. This study focuses on identifying vernal pools in the state of Massachusetts with high-resolution light detection and ranging (LiDAR) data and aerial imagery. By using high-resolution light detection and ranging data, aerial imagery, land use data, the MassDEP Hydrography layer and the Soil Survey Geographic Database, the approach located over 1800 potential vernal pools in a 108 km 2 study area in Massachusetts. The assessment of the study result shows the commission rate was 5.6% and omission rate was 7.1%. This method provides an efficient way of locating vernal pools over large areas.
590 $a School code: 0792.
650 4 $a Geography. $3 524010
650 4 $a Remote sensing. $3 535394
653 $a LiDAR
653 $a Vernal pool
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