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Relevant bibliographies by topics / Wetlands Geographic information systems

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Dissertations / Theses

Academic literature on the topic 'Wetlands Geographic information systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Dissertations / Theses on the topic "Wetlands Geographic information systems"

1

Villeneuve, Julie. "Delineating wetlands using geographic information system and remote sensing technologies." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3135.

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During the last century wetlands have considerably decreased. The principal cause is urbanization, especially in large urban regions such as the Houston area. In order to protect the remaining wetlands, they have to be monitored carefully. However monitoring wetland is a difficult and time-demanding task because it has to be done repetitively on large areas to be effective. This study was conducted to determine if Geographical Information System (GIS) and remote sensing technologies would allow accurate monitoring of wetland as a less time-consuming method. With this idea, a suitability model

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2

Shelton, Michael. "Comparison of GPS Point Selection Methods for GIS Area Measurement of Small Jurisdictional Wetlands." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc2831/.

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U.S. Army Corps of Engineers (USACE) regulates fill of jurisdictional waters of the United States including wetlands. Recent USACE regulations set a threshold of impacts to wetlands at one-half acre. Impact area can be determined by Global Positioning System (GPS) measurement of wetland boundary and Geographic Information System (GIS) calculation of impact area. GPS point selection methods include (1) equal time interval, (2) transect and (3) intuition. Four two-acre shapes were measured with each GPS method and brought into GIS for area calculation. Analysis of variance and Root Mean Square E

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3

Enwright, Nicholas. "Using Geographic Information Systems for the Functional Assessment of Texas Coastal Prairie Freshwater Wetlands Around Galveston Bay." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc28416/.

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The objective of this study was to deploy a conceptual framework developed by M. Forbes using a geographic information system (GIS) approach to assess the functionality of wetlands in the Galveston Bay Area of Texas. This study utilized geospatial datasets which included National Wetland Inventory maps (NWI), LiDAR data, National Agriculture Imagery Program (NAIP) imagery and USGS National Land Cover data to assess the capacity of wetlands to store surface water and remove pollutants, including nitrogen, phosphorus, heavy metals, and organic compounds. The use of LiDAR to characterize the hydr

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4

Torbick, Nathan M. "The Utilization of Remote Sensing and Geographic Information System (GIS) for the Development of a Wetlands Classification and Inventory for the Lower Maumee River Watershed, Lucas County, Ohio." Connect to Online Resource-OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1083862253.

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Thesis (M.A.)--University of Toledo, 2004.<br>Typescript. "Submitted as partial fulfillments of the requirements for the Master of Arts degree [in Geography]." Includes bibliographical references (leaves 80-90).

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5

Lee, Erica Anne. "GIS Modeling of Wetlands Elevation Change in Response to Projected Sea Level Rise, Trinity Bay, Texas." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4953/.

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This study is a test of a methodology to predict changes in elevation and shoreline position of coastal wetlands in Trinity Bay, Texas, in response to projected sea level rise. The study combines numerical modeling and a geographic information system. A smoothing technique is used on a United States Geographical Survey (USGS) digital elevation model to obtain elevation profiles that more accurately represent the gently sloping wetlands surface. The numerical model estimates the expected elevation change by raster cell based on input parameters of predicted sea level rise, mineral and organic s

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6

Hartkorn, Janice M. "Using Geographic Information Systems to Select Sites for Wetland Restoration in West Central Ohio’s Agricultural Areas." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1208432317.

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7

Simmons, Matthew Earl. "Studies on bottomland hardwood forest restoration and teaching with geographic information systems (GIS) in ecology labs." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1374.

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8

Divate, Milind. "Methodology for quantifying wetland landscape parameters for highway right of way decisions utilizing GIS." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5774.

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Thesis (M.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on September 2, 2008) Includes bibliographical references.

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9

Rafiq, Talha. "A temporal and ecological analysis of the Huntington Beach Wetlands through an unmanned aerial system remote sensing perspective." Thesis, California State University, Long Beach, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1597786.

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<p>Wetland monitoring and preservation efforts have the potential to be enhanced with advanced remote sensing acquisition and digital image analysis approaches. Progress in the development and utilization of Unmanned Aerial Systems (UAS) and Unmanned Aerial Vehicles (UAV) as remote sensing platforms has offered significant spatial and temporal advantages over traditional aerial and orbital remote sensing platforms. Photogrammetric approaches to generate high spatial resolution orthophotos of UAV acquired imagery along with the UAV?s low-cost and temporally flexible characteristics are explor

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10

Walsh, Kristal Cobb. "Identifying suitable sites for wetland mitigation at the watershed scale a GIS modeling approach /." [Pensacola, Fla.] : University of West Florida, 2007. http://purl.fcla.edu/fcla/etd/WFE0000100.

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