東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Landscape scale quantification of wi...

Walton, Kelly M.

FindBook

Google Book

Amazon

博客來

Landscape scale quantification of wildlife habitat using hierarchical classification techniques.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Landscape scale quantification of wildlife habitat using hierarchical classification techniques./
作者:	Walton, Kelly M.
面頁冊數:	46 p.
附註:	Source: Masters Abstracts International, Volume: 48-01, page: 0342.
Contained By:	Masters Abstracts International48-01.
標題:	Biology, Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1468944
ISBN:	9781109353112

Landscape scale quantification of wildlife habitat using hierarchical classification techniques.
Walton, Kelly M.

Landscape scale quantification of wildlife habitat using hierarchical classification techniques. - 46 p.

Source: Masters Abstracts International, Volume: 48-01, page: 0342.

Thesis (M.S.)--University of Alaska Anchorage, 2009.

Quantification of forage availability is necessary for the management of large herbivores and their habitats. Creating detailed species maps covering large extents is not possible using field surveys, aerial photography, or satellite imagery singly, and effective methods that combine these approaches have not been developed. The objective of this research was to determine the feasibility and accuracy of using a hierarchical scaling approach to map moose forage. The approach entailed mapping and classifying plant patches using ground surveys coupled with fine resolution photography. These classifications then provided training sets for supervised and subpixel classifications of Landsat imagery to generate landscape scale maps of forages. The major forages, willow, alder, and dwarf birch, were spectrally distinct in fall imagery. Subpixel classifications of Landsat imagery produced superior results compared to supervised classifications. This hierarchical approach provides more accurate assessments of food availability for wildlife than those currently used by land management agencies.

ISBN: 9781109353112Subjects--Topical Terms:

1017726
Biology, Ecology.

Landscape scale quantification of wildlife habitat using hierarchical classification techniques.
LDR:01926nam 2200265 4500 001 1398100
005 20110907152332.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9781109353112
035 $a (UMI)AAI1468944
035 $a AAI1468944
040 $a UMI $c UMI
100 1 $a Walton, Kelly M. $3 1676972
245 1 0 $a Landscape scale quantification of wildlife habitat using hierarchical classification techniques.
300 $a 46 p.
500 $a Source: Masters Abstracts International, Volume: 48-01, page: 0342.
502 $a Thesis (M.S.)--University of Alaska Anchorage, 2009.
520 $a Quantification of forage availability is necessary for the management of large herbivores and their habitats. Creating detailed species maps covering large extents is not possible using field surveys, aerial photography, or satellite imagery singly, and effective methods that combine these approaches have not been developed. The objective of this research was to determine the feasibility and accuracy of using a hierarchical scaling approach to map moose forage. The approach entailed mapping and classifying plant patches using ground surveys coupled with fine resolution photography. These classifications then provided training sets for supervised and subpixel classifications of Landsat imagery to generate landscape scale maps of forages. The major forages, willow, alder, and dwarf birch, were spectrally distinct in fall imagery. Subpixel classifications of Landsat imagery produced superior results compared to supervised classifications. This hierarchical approach provides more accurate assessments of food availability for wildlife than those currently used by land management agencies.
590 $a School code: 0922.
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Remote Sensing. $3 1018559
690 $a 0329
690 $a 0478
690 $a 0799
710 2 $a University of Alaska Anchorage. $3 1022118
773 0 $t Masters Abstracts International $g 48-01.
790 $a 0922
791 $a M.S.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1468944