Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2016.07.010 |
Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density | |
Jiang, Bin1; Deal, Brian2; Pan, HaoZhi2; Larsen, Linda3; Hsieh, Chung-Heng4; Chang, Chun-Yen5; Sullivan, William C.6 | |
2017 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING
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ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2017 |
卷号 | 157 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; Taiwan |
英文摘要 | The easy availability and widespread use of remotely-sensed imagery, especially Google Earth satellite imagery, makes it simple for urban forestry professionals to assess a site and measure tree cover density without visiting the site. Remotely-sensed tree cover density has become the dominant criterion for urban forestry regulations in many countries, but it is unclear how much such measures match the eye level tree cover density that people experience; or the information gained through site visits, eye-level photography, or from consulting with citizens. To address this uncertainty, we assessed associations among two remotely-sensed and three eye-level tree cover density measures for 140 community street sites across the Midwestern United States with low, medium, or high tree cover coverage by using linear regression analysis. We found significant associations among the two remotely-sensed measures and the three eye-level measures across the three levels of tree cover. The associations between any pair of remotely-sensed and eye-level measures, however, diminish dramatically as canopy cover increased. At high levels of canopy cover, all associations between the remotely-sensed measures and the eye-level measures became statistically insignificant. These findings suggest that measures from remotely-sensed imagery fail to represent the amount of tree cover people perceive at eye-level when canopy cover is medium or high at the site scale. Therefore, the current urban forestry planning regulations, which rely heavily on remotely-sensed tree cover density measurements, need to be revised. We suggest strategic spots where eye-level measures of tree cover density should be emphasized. (C) 2016 The Author(s). Published by Elsevier B.V. |
英文关键词 | Urban forestry Tree cover density Remotely-sensed imagery Eye-level photography Association |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000390183300026 |
WOS关键词 | GREEN SPACE ; URBAN GREEN ; NATURAL-ENVIRONMENT ; MENTAL FATIGUE ; INNER-CITY ; STRESS ; HEALTH ; VIEWS ; PREFERENCES ; RECOVERY |
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/24803 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Hong Kong, Fac Architecture, Div Landscape Architecture, Virtual Lab Urban Environm & Human Hlth, Hong Kong, Hong Kong, Peoples R China; 2.Univ Illinois, Dept Urban & Reg Planning, Champaign, IL USA; 3.Univ Illinois, Dept English, Champaign, IL USA; 4.Fu Jen Catholic Univ, Dept Landscape Architecture, New Taipei, Taiwan; 5.Natl Taiwan Univ, Dept Hort & Landscape Architecture, Lab Hlth Landscape & Hlth People, Taipei, Taiwan; 6.Univ Illinois, Dept Landscape Architecture, Champaign, IL USA |
推荐引用方式 GB/T 7714 | Jiang, Bin,Deal, Brian,Pan, HaoZhi,et al. Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density[J]. LANDSCAPE AND URBAN PLANNING,2017,157. |
APA | Jiang, Bin.,Deal, Brian.,Pan, HaoZhi.,Larsen, Linda.,Hsieh, Chung-Heng.,...&Sullivan, William C..(2017).Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density.LANDSCAPE AND URBAN PLANNING,157. |
MLA | Jiang, Bin,et al."Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density".LANDSCAPE AND URBAN PLANNING 157(2017). |
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