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Stream network delineation from high...

Colson, Thomas Payton.

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Stream network delineation from high-resolution digital elevation models.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Stream network delineation from high-resolution digital elevation models./
Author:	Colson, Thomas Payton.
Description:	253 p.
Notes:	Advisers: James D. Gregory; Stacy A. C. Nelson.
Contained By:	Dissertation Abstracts International67-12B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3247021

Stream network delineation from high-resolution digital elevation models.
Colson, Thomas Payton.

Stream network delineation from high-resolution digital elevation models. - 253 p.

Advisers: James D. Gregory; Stacy A. C. Nelson.

Thesis (Ph.D.)--North Carolina State University, 2006.

Effective environmental management requires an accurate inventory of the resources to be managed. Decision makers often lack the technical expertise necessary to understand the limitations of environmental data. The State of North Carolina is re-surveying elevations using Light Detection and Ranging to re-delineate floodplains. These data allow analysts to predict flood inundation extents of design storms in order to better manage flood-prone terrain. Conversely, many environmental management functions in North Carolina, such as calculating stream length for hydrologic modeling and riparian buffer protection, rely upon outdated paper maps such as the USGS topographic map series for the determination of the location of stream "blue lines". These cartographic products are inadequate for use in headwater stream mapping when compared to field observations yet no better data source has been found to achieve the accuracy needed for local site planning. This research evaluated the horizontal accuracy and completeness of currently available stream maps compared to stream networks derived from DEMs obtained from the USGS, the North Carolina Floodplain Mapping Program, and interpolated from LiDAR bare-earth elevation points. A unique system combining software and hardware was developed to map headwater catchments with global positioning systems and was used to perform field data collection at nine catchments distributed across four physiographic regions. A method of determining the horizontal accuracy of stream lines shown on maps was developed and used to show that stream networks delineated using high-resolution, interpolated DEMs are more accurately positioned than those on previously published maps or stream networks delineated from currently available DEMs.Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Stream network delineation from high-resolution digital elevation models.
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035 $a (UMI)AAI3247021
035 $a AAI3247021
040 $a UMI $c UMI
100 1 $a Colson, Thomas Payton. $3 1270445
245 1 0 $a Stream network delineation from high-resolution digital elevation models.
300 $a 253 p.
500 $a Advisers: James D. Gregory; Stacy A. C. Nelson.
500 $a Source: Dissertation Abstracts International, Volume: 67-12, Section: B, page: 6968.
502 $a Thesis (Ph.D.)--North Carolina State University, 2006.
520 $a Effective environmental management requires an accurate inventory of the resources to be managed. Decision makers often lack the technical expertise necessary to understand the limitations of environmental data. The State of North Carolina is re-surveying elevations using Light Detection and Ranging to re-delineate floodplains. These data allow analysts to predict flood inundation extents of design storms in order to better manage flood-prone terrain. Conversely, many environmental management functions in North Carolina, such as calculating stream length for hydrologic modeling and riparian buffer protection, rely upon outdated paper maps such as the USGS topographic map series for the determination of the location of stream "blue lines". These cartographic products are inadequate for use in headwater stream mapping when compared to field observations yet no better data source has been found to achieve the accuracy needed for local site planning. This research evaluated the horizontal accuracy and completeness of currently available stream maps compared to stream networks derived from DEMs obtained from the USGS, the North Carolina Floodplain Mapping Program, and interpolated from LiDAR bare-earth elevation points. A unique system combining software and hardware was developed to map headwater catchments with global positioning systems and was used to perform field data collection at nine catchments distributed across four physiographic regions. A method of determining the horizontal accuracy of stream lines shown on maps was developed and used to show that stream networks delineated using high-resolution, interpolated DEMs are more accurately positioned than those on previously published maps or stream networks delineated from currently available DEMs.
590 $a School code: 0155.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Hydrology. $3 545716
690 $a 0388
690 $a 0478
710 2 $a North Carolina State University. $3 1018772
773 0 $t Dissertation Abstracts International $g 67-12B.
790 $a 0155
790 1 0 $a Gregory, James D., $e advisor
790 1 0 $a Nelson, Stacy A. C., $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3247021