《Spatio-temporal monitoring of urban street-side vegetation greenery using Baidu Street View images》
打印
- 作者
- Xinyang Yu;Younggu Her;Wenqian Huo;Guowei Chen;Wei Qi
- 来源
- URBAN FORESTRY & URBAN GREENING,Vol.73,Issue1,Article 127617
- 语言
- 英文
- 关键字
- 作者单位
- College of Resources and Environment, Shandong Agricultural University, Tai’an 271018, China;Agricultural and Biological Engineering Department / Tropical Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Homestead, FL 33031, USA;General Education Department, Taishan College of Science and Technology, Tai’an 271000, China;Dezhou Natural Resources Bureau & Forestry Bureau, Dezhou 25300, China;College of Resources and Environment, Shandong Agricultural University, Tai’an 271018, China;Agricultural and Biological Engineering Department / Tropical Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Homestead, FL 33031, USA;General Education Department, Taishan College of Science and Technology, Tai’an 271000, China;Dezhou Natural Resources Bureau & Forestry Bureau, Dezhou 25300, China;The Morton Arboretum, 4100 Illinois Route 53, Lisle, IL 60532, United States;Department of Environmental Horticulture, CLUE, IFAS, University of Florida—Gulf Coast Research and Education Center, 14625 County Road 672, Wimauma, FL 33598, United States;Original article"}]},{"#name":"title","$":{"id":"tit0005"},"_":"Long-term tree survival and diversity of highway tree planting projects"}],"floats":[],"footnotes":[],"attachments":[]},"openArchive":false,"openAccess":false,"document-subtype":"fla","content-family":"serial","contentType":"JL","abstract":{"$$":[{"$$":[{"$":{"id":"sect0005"},"#name":"section-title","_":"Abstract"},{"$$":[{"$":{"view":"all","id":"sp0070"},"#name":"simple-para","_":"Long-term, multi-decade research on planted tree survival in urban settings is sparse. One understudied urban environment is highway rights-of-way (ROW), lands adjacent to high-speed, unsignalized roadways. We conducted a re-inventory of tree planting cohorts in northern Illinois, U.S. on a 48 km-long highway near Chicago which were 10-, 21-, and 30-years old to evaluate long-term patterns of survival and diversity. Using each randomly selected planting site along the highway as a unit of observation and analysis, we compared the number of trees documented in record drawing to the number of trees currently alive to determine percent survival. We evaluated 224 planting sites which originally contained 2944 trees and collected data about the planting site location. For the oldest cohort, 26% of trees were still alive in 2018 (median survival by species = 16%, Q1 = 0%, Q3 = 48%), while 31% of the 21-year-old cohort (med. = 6%, Q1 = 0%, Q3 = 47%) and 86% of the 10-year-old cohort were still alive (med. = 85%, Q1 = 74%, Q3 = 96%). The survival of the 21- and 30-year-old cohort matches urban tree survival estimates by other researchers, while the 10-year-old survival is higher than expected. The only planting location characteristic that significantly affected survival was traffic islands (areas between the highway and entrance/exit ramps). Species with low drought tolerance were less likely to be alive for the 30-year-old cohort. Waterlogging tolerant species were more likely to be alive in the 10-year-old cohort. Since some species in the 21- and 30-year-old cohorts had very low survival, the tree species richness and diversity s in study areas declined between the initial record drawings and reinventory. This study demonstrates the challenges of maintaining long-term survival and diversity in the highway ROW and emphasizes the importance of species selection."}],"$":{"view":"all","id":"abs0010"},"#name":"abstract-sec"}],"$":{"view":"all","id":"ab0010","class":"author"},"#name":"abstract"}],"$":{"xmlns:ce":true,"xmlns:dm":true,"xmlns:sb":true},"#name":"abstracts"},"pdf":{"urlType":"download","url":"/science/article/pii/S1618866722001170/pdfft?md5=b7eb2bad9b876f6ea3fe19c96b2e994d&pid=1-s2.0-S1618866722001170-main.pdf"},"iss-first":"","vol-first":"73","isThirdParty":false,"issn-primary-unformatted":"16188667","issn-primary-formatted":"1618-8667"},{"pii":"S1618866722001388","journalTitle":"Urban Forestry & Urban Greening","publicationYear":"2022","volumeSupText":"Volume 73","articleNumber":"127595","pageRange":"127595","trace-token":"AAAAQGg-Q53MTiazxoVELOJiBAmiqx39oNEF1iRRlbJtSnGp08VA7G-5GSJ3_HxYYcLXnl1OBwXnrC_F-dg54n20JFPlRfOgMUbVxl8EZprhSQp7rWZlUw","authors":{"content":[{"#name":"author-group","$":{"id":"ag0005"},"$$":[{"#name":"author","$":{"id":"au0005","author-id":"S1618866722001388-c7e0e7cbb9ff9eb9681575b1f2969a3a"},"$$":[{"#name":"given-name","_":"Xinlei;Edinburgh School of Architecture and Landscape Architecture, The University of Edinburgh, Edinburgh, UK;School of Design and Arts, Beijing Institute of Technology, Beijing, China;Healthy Landscapes Research Group, School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, Tasmania 7000, Australia;School of Ecosystem and Forest Sciences, Burnley Campus, The University of Melbourne, Richmond, Victoria 3121, Australia;Healthy Liveable Cities Group, Centre for Urban Research, RMIT University, 124 La Trobe Street, Melbourne, Victoria 3000, Australia;Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria 3052, Australia;School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia;School of Life and Environmental Sciences, The University of Sydney, Camperdown, New South Wales 2006, Australia;School of Biosciences, The University of Melbourne, Parkville, Victoria 3010, Australia;WSP Australia Pty Ltd., Australia;Department of Urban and Rural Development, Swedish University of Agricultural Sciences, Uppsala, Sweden;Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark;Department of Built Environment, Aalto University, Espoo, Finland;University of Lodz, Faculty of Economics and Sociology, Department of Regional Economics and Environment, Social-Ecological Systems Analysis Lab, POW 3/5 Street, 90-255 Lodz, Poland;Department of Landscape Architecture, College of Horticulture, Post-Doctoral Research Station in Public Administration, Nanjing Agricultural University, Nanjing, China;Department of Landscape Architecture, College of Horticulture, Nanjing Agricultural University, Nanjing, China;Department of Architecture and Urban Planning, Tongji University, Shanghai, China,
- 摘要
- Street-side vegetation greenery contributes substantial health benefits for pedestrians. Multi-year street view images are expected to enable the monitoring of dynamic street-side vegetation greenery changes and the development of targeted urban landscape plans. However, the potential of multi-year street view images used for the assessment of street-side vegetation greenery has not been evaluated yet. Besides, complicated urban landscapes may make it difficult to accurately quantify vegetation greenery. This study developed a framework to assess the spatio-temporal variation of street-side vegetation greenery using the Baidu Street View images and a new Vegetation Greenery Index (VGI). The proposed analytical framework was applied to Tai’an city, a highly populated city where urbanization has been rapid in China. The level of vegetation greenery estimated using the proposed framework was compared with ground truths randomly collected at sampling sites along the road networks in 2014 and 2019 to assess the applicability. Results demonstrated that the proposed VGI method could accurately quantify street-side vegetation greenery. The comparison of multi-year VGI layers could identify locations where vegetation greenery substantially changed and quantify the overall change in urban greenery. Vegetation greenery estimates were well agreed with the ground truths. Spatio-temporal variations in the urban vegetation greenery were attributed to trees that were newly planted or removed, the natural growth of the existing vegetation, and new building construction. The proposed framework is expected to be a useful tool to evaluate urban vegetation greenery and help urban landscape planning.