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Mapping and delineating wetlands of ...

Yavuz, Mehmet.

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Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery./
Author:	Yavuz, Mehmet.
Description:	166 p.
Notes:	Adviser: Lee P. Herrington.
Contained By:	Dissertation Abstracts International68-03B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3258032

Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery.
Yavuz, Mehmet.

Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery. - 166 p.

Adviser: Lee P. Herrington.

Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2007.

Keywords. Wetland boundary delineation, heads-up digitizing, radiometric enhancement, wetland boundary accuracy, point-in-buffer analysis (PIBA)Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery.
LDR:02478nam 2200277 a 45 001 968243
005 20110915
008 110915s2007 eng d
035 $a (UMI)AAI3258032
035 $a AAI3258032
040 $a UMI $c UMI
100 1 $a Yavuz, Mehmet. $3 1292100
245 1 0 $a Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery.
300 $a 166 p.
500 $a Adviser: Lee P. Herrington.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1376.
502 $a Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2007.
520 $a Keywords. Wetland boundary delineation, heads-up digitizing, radiometric enhancement, wetland boundary accuracy, point-in-buffer analysis (PIBA)
520 $a The effectiveness of off-site wetland delineation methods using very high resolution digital color-infrared aerial imagery (the color-IR imagery) is compared to the traditional on-site wetland delineation method. The on-site delineation results created using the US Fish and Wildlife Service's National Wetland Inventory (NWI map procedures are compared to the following mapping techniques; heads-up digitizing, hybrid classification, Normalized Difference Vegetation Index (NDVI) and unsupervised classifications (ISODATA) using the same image source. Each of the mapping techniques was applied using the seasonal color-IR imagery. Pair-wise significance tests of the closest mean distances indicated that heads-up digitizing was significantly more accurate than other classification techniques for the color-IR imagery. A combination of the heads-up digitizing and the hybrid classification showed that emergent wetland and scrub-shrub wetlands can be delineated without visiting the ground from the color-IR imagery. Applying logarithmic and hyperbolic sine algorithms to enhance the radiometric property of the color-IR imagery increased delineation accuracy 98% in the spring color-IR imagery and 28% in the fall color-IR imagery. Methods for measuring the accuracy of linear features are reviewed and a new method Points-in-Buffer Analysis (PIBA) is proposed.
590 $a School code: 0213.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Remote Sensing. $3 1018559
690 $a 0478
690 $a 0799
710 2 0 $a State University of New York College of Environmental Science and Forestry. $3 1017822
773 0 $t Dissertation Abstracts International $g 68-03B.
790 $a 0213
790 1 0 $a Herrington, Lee P., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3258032