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
到查詢結果
[ null ]
切換:
標籤
|
MARC模式
|
ISBD
Remote Sensing Methods for Urban For...
~
Taylor, Robert Vanderlei,
FindBook
Google Book
Amazon
博客來
Remote Sensing Methods for Urban Forest Planning /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Remote Sensing Methods for Urban Forest Planning // Robert Vanderlei Taylor.
作者:
Taylor, Robert Vanderlei,
面頁冊數:
1 electronic resource (175 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:
Dissertations Abstracts International86-02B.
標題:
Urban forestry. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31293827
ISBN:
9798383596777
Remote Sensing Methods for Urban Forest Planning /
Taylor, Robert Vanderlei,
Remote Sensing Methods for Urban Forest Planning /
Robert Vanderlei Taylor. - 1 electronic resource (175 pages)
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
This investigation synthesizes findings from three independent studies that explore different geospatial analysis applications using remote sensing data and technology to help urban foresters and planners make informed decisions, optimize resource allocation, and promote more sustainable forestry management practices. The three studies include: the quantification and impact of urban tree canopy (UTC) shade effects on microclimates, the hierarchical modeling of urban heat dynamics, and the application of Unmanned Aircraft Systems (UASs) in urban forestry. The first investigation introduces a new approach to urban tree canopy (UTC) shade analysis, employing conventional remote sensing and high-resolution unmanned aircraft systems (UAS) data to offer a detailed understanding of the cooling effects of tree shade, surpassing traditional UTC metrics. This methodology provides a more accurate representation of urban forestry's benefits but also advocates for the integration of shade mapping in urban forest planning to mitigate heat effectively. The second study advances the field through the application of multi-level hierarchical linear modeling to dissect the complex dynamics of urban heat, revealing the nuanced interplay between land cover, land use, and temperature at different urban scales. This research supports a more informed multi-scale approach to creating cooler, sustainable urban environments, emphasizing the need for targeted interventions that address the specific characteristics of diverse urban landscapes. The final study explores the use of UAS data technology in urban forestry, evaluating its potential for enhancing the accuracy and efficiency of certain management practices, and discussing future innovations in sensor technology and methodology that could progress the field. Collectively, this research demonstrates the power and utility of integrating remote sensing data and technology with geospatial and quantitative analysis methods, to advance urban forest management and planning practices. The insights gained from these investigations are invaluable for urban planners, policymakers, and environmental scientists striving to enhance the resilience and sustainability of urban ecosystems in the face of growing environmental challenges.
English
ISBN: 9798383596777Subjects--Topical Terms:
704817
Urban forestry.
Subjects--Index Terms:
Shade planning
Remote Sensing Methods for Urban Forest Planning /
LDR
:03792nmm a22004573i 4500
001
2431946
005
20250624125416.5
006
m o d
007
cr|nu||||||||
008
261011s2024 miu||||||m |||||||eng d
020
$a
9798383596777
035
$a
(MiAaPQD)AAI31293827
035
$a
AAI31293827
040
$a
MiAaPQD
$b
eng
$c
MiAaPQD
$e
rda
100
1
$a
Taylor, Robert Vanderlei,
$e
author.
$3
3820991
245
1 0
$a
Remote Sensing Methods for Urban Forest Planning /
$c
Robert Vanderlei Taylor.
264
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2024
300
$a
1 electronic resource (175 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
500
$a
Advisors: Troy, Austin Committee members: Anthamatten, Peter; Moreno, Rafael; Diffendorfer, James.
502
$b
Ph.D.
$c
University of Colorado at Denver
$d
2024.
520
$a
This investigation synthesizes findings from three independent studies that explore different geospatial analysis applications using remote sensing data and technology to help urban foresters and planners make informed decisions, optimize resource allocation, and promote more sustainable forestry management practices. The three studies include: the quantification and impact of urban tree canopy (UTC) shade effects on microclimates, the hierarchical modeling of urban heat dynamics, and the application of Unmanned Aircraft Systems (UASs) in urban forestry. The first investigation introduces a new approach to urban tree canopy (UTC) shade analysis, employing conventional remote sensing and high-resolution unmanned aircraft systems (UAS) data to offer a detailed understanding of the cooling effects of tree shade, surpassing traditional UTC metrics. This methodology provides a more accurate representation of urban forestry's benefits but also advocates for the integration of shade mapping in urban forest planning to mitigate heat effectively. The second study advances the field through the application of multi-level hierarchical linear modeling to dissect the complex dynamics of urban heat, revealing the nuanced interplay between land cover, land use, and temperature at different urban scales. This research supports a more informed multi-scale approach to creating cooler, sustainable urban environments, emphasizing the need for targeted interventions that address the specific characteristics of diverse urban landscapes. The final study explores the use of UAS data technology in urban forestry, evaluating its potential for enhancing the accuracy and efficiency of certain management practices, and discussing future innovations in sensor technology and methodology that could progress the field. Collectively, this research demonstrates the power and utility of integrating remote sensing data and technology with geospatial and quantitative analysis methods, to advance urban forest management and planning practices. The insights gained from these investigations are invaluable for urban planners, policymakers, and environmental scientists striving to enhance the resilience and sustainability of urban ecosystems in the face of growing environmental challenges.
546
$a
English
590
$a
School code: 0765
650
4
$a
Urban forestry.
$3
704817
650
4
$a
Remote sensing.
$3
535394
650
4
$a
Urban planning.
$3
2122922
650
4
$a
Environmental science.
$3
677245
653
$a
Shade planning
653
$a
Unmanned Aircraft Systems
653
$a
Urban Heat Island
653
$a
Urban temperature regulation
653
$a
Urban forest planning
690
$a
0281
690
$a
0799
690
$a
0999
690
$a
0768
690
$a
0474
710
2
$a
University of Colorado at Denver.
$b
Urban and Regional Planning.
$e
degree granting institution.
$3
3817353
720
1
$a
Troy, Austin
$e
degree supervisor.
773
0
$t
Dissertations Abstracts International
$g
86-02B.
790
$a
0765
791
$a
Ph.D.
792
$a
2024
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31293827
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
W9527641
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
(1)帳號:一般為「身分證號」;外籍生或交換生則為「學號」。 (2)密碼:預設為帳號末四碼。
帳號
.
密碼
.
請在此電腦上記得個人資料
取消
忘記密碼? (請注意!您必須已在系統登記E-mail信箱方能使用。)