GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2017.10.010
Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR
Vukomanovic, Jelena1; Singh, Kunwar K.2; Petrasova, Anna3; Vogler, John B.4
2018-02-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2018
卷号170页码:169-176
文章类型Article
语种英语
国家USA
英文摘要

Viewscapes are the visible portions of a landscape that create a visual connection between a human observer and their -dimensional surroundings. However, most large area line-of-sight studies have modeled viewscapes using bare-earth digital elevation models, which exclude the 3-D elements of built and natural environments needed to comprehensively understand the scale, complexity and naturalness of an area. In this study, we compared viewscapes derived from LiDAR bare earth (BE) and top-of-canopy (ToC) surface models for 1000 exurban homes in a region of the Rocky Mountains, USA that is experiencing rapid low-density growth. We examined the extent to which the vertical structure of trees and neighboring houses in ToC models not accounted for in BE models affect the size and quality of each home's viewscape. ToC models consistently produced significantly smaller viewscapes compared to BE models across five resolutions of LiDAR-derived models (1, 5, 10, 15, and 30m). As resolution increased, both ToC and BE models produced increasingly larger, exaggerated viewscapes. Due to their exaggerated size, BE models overestimated the greenness and diversity of vegetation types in viewscapes and underestimated ruggedness of surrounding terrain compared to more realistic ToC models. Finally, ToC models also resulted in more private viewscapes, with exurban residents seeing almost three times fewer neighbors compared to BE models. These findings demonstrate that viewscape studies should consider both vertical and horizontal dimensions of built and natural environments in landscape and urban planning applications.


英文关键词DEM Land change Landscape aesthetics Multi-scale Top-of canopy Visual quality
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000419412400015
WOS关键词AMENITY MIGRATION ; POINT DENSITY ; LANDSCAPE ; NATURALNESS ; GIS ; PHOTOGRAPHS ; PREFERENCES ; INDICATORS ; DRIVERS
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/25115
专题资源环境科学
作者单位1.NC State Univ, Ctr Geospatial Analyt, Dept Pk Recreat & Tourism Management, Raleigh, NC USA;
2.NC State Univ, Ctr Geospatial Analyt, Dept Forestry & Environm Resources, Raleigh, NC USA;
3.NC State Univ, Ctr Geospatial Analyt, Dept Marine Earth & Atmospher Sci, Raleigh, NC USA;
4.NC State Univ, Ctr Geospatial Analyt, Raleigh, NC USA
推荐引用方式
GB/T 7714
Vukomanovic, Jelena,Singh, Kunwar K.,Petrasova, Anna,et al. Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR[J]. LANDSCAPE AND URBAN PLANNING,2018,170:169-176.
APA Vukomanovic, Jelena,Singh, Kunwar K.,Petrasova, Anna,&Vogler, John B..(2018).Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR.LANDSCAPE AND URBAN PLANNING,170,169-176.
MLA Vukomanovic, Jelena,et al."Not seeing the forest for the trees: Modeling exurban viewscapes with LiDAR".LANDSCAPE AND URBAN PLANNING 170(2018):169-176.
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