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Spectral Properties of Wetlands in M...

Williamson, Kolin,

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Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan // Kolin Williamson.
Author:	Williamson, Kolin,
Description:	1 electronic resource (108 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-01.
Contained By:	Masters Abstracts International86-01.
Subject:	Environmental studies. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31241031
ISBN:	9798383218860

Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan /
Williamson, Kolin,

Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan /Kolin Williamson. - 1 electronic resource (108 pages)

Source: Masters Abstracts International, Volume: 86-01.

Biological, geological, and physical. These are only a handful of the many environmental aspects that wetlands functions maintain and protect. Unfortunately, wetlands within the United States have been razed at an alarming rate. The State of Michigan has not gone through this unscathed either, loosing over 1000 acres of wetland a year. One of the most important tools to prevent this destruction are the maps and programs that show where these essential ecosystems are located. The current, federally-created maps and imaging software in use by environmental consultants and contractors may not be up to date which can pose challenges for wetland monitoring and protection. It is this lack of information that is a major factor in exacerbating wetland loss. The purpose of this study is to create a basis for future methods that would be used to identify wetlands using LANDSAT 8 data, in situ observations, and remote sensing to discover which wetland types have the best chance at being identified using remote sensing techniques. First, a survey of wetlands in Roscommon County, Michigan, was conducted using existing wetland maps and field visits. Second, a spectral analysis was conducted for the wetlands in order to determine if it would be possible to accurately differentiate wetland reflectance profiles from other ecosystems. A total of 31 wetlands were identified in the survey. The spectral analysis revealed that forested and emergent wetlands were more distinguishable from others types using remote sensing. The best range bands to use from LANDSAT 8 are bands 5-7, which corresponds to the wavelengths between 0.85 μm to 2.29 μm. This work has implications for wetland identification in Michigan.

English

ISBN: 9798383218860Subjects--Topical Terms:

2122803
Environmental studies.
Subjects--Index Terms:

Delineation

Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan /
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245 1 0 $a Spectral Properties of Wetlands in Michigan Using Remote Sensing to Identify and Classify Wetlands in Roscommon County, Michigan / $c Kolin Williamson.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
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500 $a Source: Masters Abstracts International, Volume: 86-01.
500 $a Advisors: Firat, Joni Committee members: Cavello, Seth; Van Beynen, Philip.
502 $b M.A. $c University of South Florida $d 2024.
520 $a Biological, geological, and physical. These are only a handful of the many environmental aspects that wetlands functions maintain and protect. Unfortunately, wetlands within the United States have been razed at an alarming rate. The State of Michigan has not gone through this unscathed either, loosing over 1000 acres of wetland a year. One of the most important tools to prevent this destruction are the maps and programs that show where these essential ecosystems are located. The current, federally-created maps and imaging software in use by environmental consultants and contractors may not be up to date which can pose challenges for wetland monitoring and protection. It is this lack of information that is a major factor in exacerbating wetland loss. The purpose of this study is to create a basis for future methods that would be used to identify wetlands using LANDSAT 8 data, in situ observations, and remote sensing to discover which wetland types have the best chance at being identified using remote sensing techniques. First, a survey of wetlands in Roscommon County, Michigan, was conducted using existing wetland maps and field visits. Second, a spectral analysis was conducted for the wetlands in order to determine if it would be possible to accurately differentiate wetland reflectance profiles from other ecosystems. A total of 31 wetlands were identified in the survey. The spectral analysis revealed that forested and emergent wetlands were more distinguishable from others types using remote sensing. The best range bands to use from LANDSAT 8 are bands 5-7, which corresponds to the wavelengths between 0.85 μm to 2.29 μm. This work has implications for wetland identification in Michigan.
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650 4 $a Geographic information science. $3 3432445
650 4 $a Remote sensing. $3 535394
653 $a Delineation
653 $a ENVI
653 $a GIS
653 $a Spectral analysis
653 $a Spectral profiles
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690 $a 0474
690 $a 0477
690 $a 0799
710 2 $a University of South Florida. $b Geosciences. $e degree granting institution. $3 3829745
720 1 $a Firat, Joni $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-01.
790 $a 0206
791 $a M.A.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31241031