東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Flow resistance characterization of ...

Al-Hamdan, Mohammad.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Flow resistance characterization of forested flood plains using spatial analysis of remotely sensed data and GIS./
Author:	Al-Hamdan, Mohammad.
Description:	259 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0896.
Contained By:	Dissertation Abstracts International65-02B.
Subject:	Engineering, Civil. -
Online resource:	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.
LDR:01721nmm 2200313 4500 001 1842006
005 20050916110239.5
008 130614s2004 eng d
020 $a 0496686584
035 $a (UnM)AAI3121307
035 $a AAI3121307
040 $a UnM $c UnM
100 1 $a Al-Hamdan, Mohammad. $3 1930280
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
690 $a 0543
690 $a 0775
690 $a 0799
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