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Flow resistance characterization of ...

Al-Hamdan, Mohammad.

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Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS./
作者:	Al-Hamdan, Mohammad.
面頁冊數:	259 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0896.
Contained By:	Dissertation Abstracts International65-02B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121307
ISBN:	0496686584

Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS.
Al-Hamdan, Mohammad.

Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS. - 259 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0896.

Thesis (Ph.D.)--The University of Alabama in Huntsville, 2004.

The major objective of this study was to use remotely sensed data and GIS to characterize vegetated landscapes based on their complexity and roughness associated with forests. This characterization facilitates hydraulic and hydrologic modeling s

ISBN: 0496686584Subjects--Topical Terms:

783781
Engineering, Civil.

Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS.
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245 1 0 $a Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS.
300 $a 259 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0896.
500 $a Chair: James Cruise.
502 $a Thesis (Ph.D.)--The University of Alabama in Huntsville, 2004.
520 $a The major objective of this study was to use remotely sensed data and GIS to characterize vegetated landscapes based on their complexity and roughness associated with forests. This characterization facilitates hydraulic and hydrologic modeling s
520 $a Overall, this study showed that important measures of forest-related surface roughness, including average stand thickness, can be effectively estimated from radiometric remotely sensed data using the spatial analytical techniques. Regression mod
520 $a The study also showed that Landsat TM visible bands are more sensitive to image complexity than are infrared bands. It also showed that Landsat 30-meter resolution is better than IKONOS 4-meter and MODIS 250-meter resolutions in detecting potent
590 $a School code: 0278.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Remote Sensing. $3 1018559
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690 $a 0775
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710 2 0 $a The University of Alabama in Huntsville. $3 1017884
773 0 $t Dissertation Abstracts International $g 65-02B.
790 1 0 $a Cruise, James, $e advisor
790 $a 0278
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121307