語系:
繁體中文
English
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
Development of indicators of urban q...
~
Pham, Thi Thanh Hien.
FindBook
Google Book
Amazon
博客來
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi./
作者:
Pham, Thi Thanh Hien.
面頁冊數:
202 p.
附註:
Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4720.
Contained By:
Dissertation Abstracts International71-08B.
標題:
Geography. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR64222
ISBN:
9780494642221
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi.
Pham, Thi Thanh Hien.
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi.
- 202 p.
Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4720.
Thesis (Ph.D.)--Universite de Sherbrooke (Canada), 2010.
In studies of urban quality of life, the information that can be extracted from satellite images is limited by image resolution and by the standard method of pixel classification. Recently, very high spatial resolution (VHSR) satellite images have allowed the development of new remote sensing application, especially for complex urban areas. Despite of the numerous advantages of the object-oriented approach for VHSR image processing, the parameters used to carry it out, especially at the object creation stage, are not very well documented. Moreover, the evaluation of urban quality of life has never considered the perception of inhabitants of the zones under study. This dissertation therefore addresses these two issues and aims 1) at testing a systematic ways of achieving the best parameters for object-oriented classification with the software Definiens and 2) at quantifying the relation between objective indicators and perceived satisfaction.
ISBN: 9780494642221Subjects--Topical Terms:
524010
Geography.
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi.
LDR
:04243nam 2200313 4500
001
1396272
005
20110603090747.5
008
130515s2010 ||||||||||||||||| ||fre d
020
$a
9780494642221
035
$a
(UMI)AAINR64222
035
$a
AAINR64222
040
$a
UMI
$c
UMI
100
1
$a
Pham, Thi Thanh Hien.
$3
1675040
245
1 0
$a
Development of indicators of urban quality of life through very high spatial resolution remote sensing: A case study of Hanoi.
300
$a
202 p.
500
$a
Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4720.
502
$a
Thesis (Ph.D.)--Universite de Sherbrooke (Canada), 2010.
520
$a
In studies of urban quality of life, the information that can be extracted from satellite images is limited by image resolution and by the standard method of pixel classification. Recently, very high spatial resolution (VHSR) satellite images have allowed the development of new remote sensing application, especially for complex urban areas. Despite of the numerous advantages of the object-oriented approach for VHSR image processing, the parameters used to carry it out, especially at the object creation stage, are not very well documented. Moreover, the evaluation of urban quality of life has never considered the perception of inhabitants of the zones under study. This dissertation therefore addresses these two issues and aims 1) at testing a systematic ways of achieving the best parameters for object-oriented classification with the software Definiens and 2) at quantifying the relation between objective indicators and perceived satisfaction.
520
$a
Hoan Kiem district, in Hanoi, Vietnam, was chosen as our zone of interest. The image used for this study is a 0,7m spatial resolution Quickbird image. In the first part of the dissertation, we identify eight land occupation classes on the image: lakes, river, parks, groups of trees along streets, isolated trees, large road and residential blocks. Using these classes and additional cartographic information, we calculate nine quality of life indicators that correspond to two central aspects of urban life: commodity (urban services) and amenity (urban landscape). For each group of indicators, we carried out a principal components analysis to obtain non-correlated components. We then conducted a survey with eight city planning experts who live and work in the zone under study to Obtain an assessment of the satisfaction of inhabitants towards their area of residence. The weight of each component in the determination of quality of life was achieved through an ordinal regression whose independent variables are the components and the dependent variable is the level of satisfaction as evaluated by the experts. The weights were then used to interpret the importance of our indicators for quality of life.
520
$a
Our results show that it is possible to classify land occupation types with a good accuracy: our average accuracy rate is 80.5%. As for the weight of quality of life indicators, our results allow us to make methodological and interpretative contributions. Contrary to previous work, our method allows us to evaluate the explanatory power of our model. Our regression shows that 22% of variation in satisfaction towards commodity and nearly 54% of variation in satisfaction towards amenity can be attributed to our indicators. As for the nature of the factors playing a role in quality of life, our results show that the relation between indicators and perceived satisfaction is not linear, which had never been shown in previous studies. Satisfaction towards commodity increases when transportation and health care are both sufficient. Satisfaction towards amenity is on the other hand largely determined by residential space, while vegetation plays a minor role, contrary to what was found in the urban zones of developed countries.
520
$a
Key words: very high resolution image, life quality, urban area, ordinal regression.
590
$a
School code: 0512.
650
4
$a
Geography.
$3
524010
650
4
$a
Remote Sensing.
$3
1018559
650
4
$a
Urban and Regional Planning.
$3
1017841
690
$a
0366
690
$a
0799
690
$a
0999
710
2
$a
Universite de Sherbrooke (Canada).
$3
1020319
773
0
$t
Dissertation Abstracts International
$g
71-08B.
790
$a
0512
791
$a
Ph.D.
792
$a
2010
793
$a
French
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR64222
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9159411
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入