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Effects of spatial resolution on tre...
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State University of New York College of Environmental Science and Forestry.
Effects of spatial resolution on tree cover characterization of suburban landscapes.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Effects of spatial resolution on tree cover characterization of suburban landscapes./
作者:
Keskin, Melisa L.
面頁冊數:
1 online resource (58 pages)
附註:
Source: Masters Abstracts International, Volume: 54-04.
Contained By:
Masters Abstracts International54-04(E).
標題:
Geography. -
電子資源:
click for full text (PQDT)
ISBN:
9781321648652
Effects of spatial resolution on tree cover characterization of suburban landscapes.
Keskin, Melisa L.
Effects of spatial resolution on tree cover characterization of suburban landscapes.
- 1 online resource (58 pages)
Source: Masters Abstracts International, Volume: 54-04.
Thesis (M.S.)
Includes bibliographical references
The need for detailed land cover information to characterize environmental phenomena is frequently met by the National Land Cover Database (NLCD). The NLCD aggregates landscape features by assigning land cover values to 30x30m pixels. Population abundance estimations of white-tailed deer (Odocoileus virginianus) frequently include habitat information derived from the NLCD. Suburban landscapes in New York, Ohio, and Virginia were examined using classified data with two different pixel sizes (30m and 1m) to determine if spatial resolution influences detection and quantification of tree patches. The results of this study indicate that pixel size can significantly impact representation of tree cover at various extents. When represented using high resolution maps, tree-covered patches were smaller, denser, and more variable in size, shape, and configuration compared to the NLCD. The classified high resolution maps showed 70--96% more tree cover than the NLCD, which can impact inferences pertaining to white-tailed deer habitat analysis.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781321648652Subjects--Topical Terms:
654331
Geography.
Index Terms--Genre/Form:
554714
Electronic books.
Effects of spatial resolution on tree cover characterization of suburban landscapes.
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The need for detailed land cover information to characterize environmental phenomena is frequently met by the National Land Cover Database (NLCD). The NLCD aggregates landscape features by assigning land cover values to 30x30m pixels. Population abundance estimations of white-tailed deer (Odocoileus virginianus) frequently include habitat information derived from the NLCD. Suburban landscapes in New York, Ohio, and Virginia were examined using classified data with two different pixel sizes (30m and 1m) to determine if spatial resolution influences detection and quantification of tree patches. The results of this study indicate that pixel size can significantly impact representation of tree cover at various extents. When represented using high resolution maps, tree-covered patches were smaller, denser, and more variable in size, shape, and configuration compared to the NLCD. The classified high resolution maps showed 70--96% more tree cover than the NLCD, which can impact inferences pertaining to white-tailed deer habitat analysis.
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2018
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Mode of access: World Wide Web
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click for full text (PQDT)
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