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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.
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Mapping and delineating wetlands of Huntington Wildlife Forest using very high resolution digital color-infrared imagery.
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166 p.
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Adviser: Lee P. Herrington.
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Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1376.
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Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2007.
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Keywords. Wetland boundary delineation, heads-up digitizing, radiometric enhancement, wetland boundary accuracy, point-in-buffer analysis (PIBA)
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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.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3258032
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