Using unmanned aerial vehicle data to assess the three-dimension green quantity of urban green space: A case study in Shanghai, China

Landscape and Urban Planning

Volumn 164, Issue , 2017, Pages 81-90

  Liang, Huilin ^a   Li, Weizheng ^a   Zhang, Qingping ^a   Zhu, Wen ^a   Chen, Di ^b   Liu, Jie ^a   Shu, Ting ^a  

^a NANJING FORESTRY UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

Author keywords

Environmental and climatic benefits; Three dimension green quantity; Unmanned aerial vehicle; Urban green space

Indexed keywords

ANTENNAS; REMOTE SENSING; TRANSPIRATION;

ENVIRONMENTAL AND CLIMATIC BENEFITS; POLICY MAKERS; QUANTITATIVE INDICES; REMOTE SENSING IMAGES; SHANGHAI , CHINA; THREE DIMENSIONS; URBAN GREEN SPACES; WETLAND PARKS;

UNMANNED AERIAL VEHICLES (UAV);

GREENSPACE; NUMERICAL METHOD; PHOTOGRAMMETRY; REMOTE SENSING; REMOTELY OPERATED VEHICLE; TRANSPIRATION; URBAN AREA;

CHINA; SHANGHAI;

EID: 85018533882     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2017.04.006     Document Type: Article

References (51)

1. Amati, M., Yokohari, M., The actions of landowners: government and planners in establishing the London green belt of the 1930. Planning History 26 (2004), 4–11.
2. Béland, M., Widlowski, J.-L., Fournier, R.A., A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR. Environmental Modelling and Software 51 (2014), 184–189.
3. Baraloto, C., Rabaud, S., Molto, Q., Blanc, L., Fortunel, C., Herault, B., Valderrama, E., Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests. Global Change Biology 17:8 (2011), 2677–2688.
4. Biaojun, J., Xiaofang, S., Yibin, S., Application of remote sensing technology to calculating the three-dimensional green biomass of urban greening plants and the eco-environmental effect. Journal of Fujian Agriculture and Forestry University (Natural Science Edition) 34:1 (2005), 102–107.
5. Buckley, D.S., Isebrands, J., Sharik, T.L., Practical field methods of estimating canopy cover, PAR, and LAI in Michigan oak and pine stands. Northern Journal of Applied Forestry 16:1 (1999), 25–32.
6. Chen, F., Zhou, Z., Xiao, R., Wang, P., Li, H., Guo, E., Estimation of ecosystem services of urban green-land in industrial areas: A case study on green-land in the workshop area of the Wuhan Iron and Steel Company. Acta Ecologica Sinica 26:7 (2006), 2230–2236.
7. Cheng, H., Matteo, C., Zhongke, F., Siyu, Z., Using LiDAR data to measure the 3D green biomass of Beijing urban forest in China. PUBLIC LIBRARY OF SCIENCE, 8(10), 2013, e75920.
8. Chiesura, A., The role of urban parks for the sustainable city. Landscape and Urban Planning 68:1 (2004), 129–138.
9. Dan, Z., Xiaoxiao, Z., Landscape renovation for abandoned industrial tidal-flat area planning and design for Paotai bay wetland Park, Shanghai. Landscape Architecture 2 (2006), 36–43.
10. Derkzen, M.L., Teeffelen, A.J., Verburg, P.H., REVIEW: Quantifying urban ecosystem services based on high-resolution data of urban green space: An assessment for Rotterdam, the Netherlands. Journal of Applied Ecology 52:4 (2015), 1020–1032.
11. Duursma, R.A., Falster, D.S., Leaf mass per area, not total leaf area, drives differences in above-ground biomass distribution among woody plant functional types. New Phytologist 212:2 (2016), 368–376.
12. Erickson, D., MetroGreen: Connecting open space in North American cities. 2006, Island Press.
13. Feyisa, G.L., Dons, K., Meilby, H., Efficiency of parks in mitigating urban heat island effect: An example from Addis Ababa. Landscape and Urban Planning 123 (2014), 87–95.
14. Heidt, V., Neef, M., Benefits of urban green space for improving urban climate. Ecology Planning, and Management of Urban Forests, 2008, Springer, 84–96.
15. Hopkinson, C., Chasmer, L., Young-Pow, C., Treitz, P., Assessing forest metrics with a ground-based scanning lidar. Canadian Journal of Forest Research 34:3 (2004), 573–583.
16. Howard, E., Garden cities of to-morrow, Vol. 23, 1965, Mit Press.
17. Hu, H., Wu, Z., Wu, W., An estimate of the quantity of green vegetation in the urban of Hefei city by remotesensing. Journal of Anhui Agricultural University 37:2 (2010), 306–311.
18. Jianhua, Z., Tianzong, S., Study on remote sensing model of three-dimensional green biomass and the estimation of environmental benefits of greenery. Journal Of Remote Sensing 3 (1995), 162–174.
19. Jim, C., Chen, W.Y., Diversity and distribution of landscape trees in the compact Asian city of Taipei. Applied Geography 29:4 (2009), 577–587.
20. Kabisch, N., Ecosystem service implementation and governance challenges in urban green space planning—The case of Berlin, Germany. Land Use Policy 42 (2015), 557–567.
21. Keith, H., Mackey, B.G., Lindenmayer, D.B., Re-evaluation of forest biomass carbon stocks and lessons from the world's most carbon-dense forests. Proceedings of the National Academy of Sciences 106:28 (2009), 11635–11640.
22. Kira, T., Forest ecosystems of east and southeast Asia in a global perspective. Ecological Research 6:2 (1991), 185–200.
23. Kong, F., Yin, H., James, P., Hutyra, L.R., He, H.S., Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China. Landscape and Urban Planning 128:0 (2014), 35–47.
24. Král, K., Janík, D., Vrška, T., Adam, D., Hort, L., Unar, P., Šamonil, P., Local variability of stand structural features in beech dominated natural forests of Central Europe: Implications for sampling. Forest Ecology and Management 260:12 (2010), 2196–2203.
25. Lafortezza, R., Carrus, G., Sanesi, G., Davies, C., Benefits and well-being perceived by people visiting green spaces in periods of heat stress. Urban Forestry and Urban Greening 8:2 (2009), 97–108.
26. Lang, S., Schöpfer, E., Hölbling, D., Blaschke, T., Moeller, M., Jekel, T., Kloyber, E., Quantifying and qualifying urban green by integrating remote sensing GIS, and social science method. Use of landscape sciences for the assessment of environmental security, 2007, Springer, 93–105.
27. Li, F., Wang, R., Paulussen, J., Liu, X., Comprehensive concept planning of urban greening based on ecological principles: A case study in Beijing, China. Landscape and Urban Planning 72:4 (2005), 325–336.
28. Li, X., Zhang, C., Li, W., Ricard, R., Meng, Q., Zhang, W., Assessing street-level urban greenery using Google Street View and a modified green view index. Urban Forestry and Urban Greening 14:3 (2015), 675–685.
29. Millward, A.A., Sabir, S., Benefits of a forested urban park: What is the value of Allan Gardens to the city of Toronto, Canada. Landscape and Urban Planning 100:3 (2011), 177–188.
30. Mohammadi, J., Shataee, S., Babanezhad, M., Estimation of forest stand volume, tree density and biodiversity using Landsat ETM+ Data: Comparison of linear and regression tree analyses. Procedia Environmental Sciences 7 (2011), 299–304.
31. Munton, R., London's green belt: containment in practice. 1983, Allen & Unwin, Hemel Hempstead.
32. Neuenschwander, N., Hayek, U.W., Grêt-Regamey, A., Integrating an urban green space typology into procedural 3D visualization for collaborative planning. Computers, Environment and Urban Systems 48 (2014), 99–110.
33. Nowak, D.J., Crane, D.E., Carbon storage and sequestration by urban trees in the USA. Environmental Pollution 116:3 (2002), 381–389.
34. Ong, B.L., Green plot ratio: An ecological measure for architecture and urban planning. Landscape and Urban Planning 63:4 (2003), 197–211.
35. Parmehr, E.G., Amati, M., Taylor, E.J., Livesley, S.J., Estimation of urban tree canopy cover using random point sampling and remote sensing methods. Urban Forestry and Urban Greening 20 (2016), 160–171.
36. Schäffler, A., Swilling, M., Valuing green infrastructure in an urban environment under pressure—The Johannesburg case. Ecological Economics 86 (2013), 246–257.
37. Szulczewska, B., Giedych, R., Borowski, J., Kuchcik, M., Sikorski, P., Mazurkiewicz, A., Stańczyk, T., How much green is needed for a vital neighbourhood? In search for empirical evidence. Land Use Policy 38 (2014), 330–345.
38. Whitford, V., Ennos, A.R., Handley, J.F., City form and natural process—Indicators for the ecological performance of urban areas and their application to Merseyside, UK. Landscape and Urban Planning 57:2 (2001), 91–103.
39. Wolch, J.R., Byrne, J., Newell, J.P., Urban green space, public health: and environmental justice: The challenge of making cities ‘just green enough’. Landscape and Urban Planning 125 (2014), 234–244.
40. Xiao, Q., McPherson, E.G., Ustin, S.L., Grismer, M.E., A new approach to modeling tree rainfall interception. Journal of Geophysical Research: Atmospheres (1984–2012) 105:D23 (2000), 29173–29188.
41. Xiaojun, W., Analysis of problems in urban green space system planning in China. Journal of Forestry Research 20:1 (2009), 79–82.
42. Xueyan, G., Ting, C., Xiuwen, D., Yujie, H., Dan, H., Liangjun, D., Carbon storage and distribution pattern in main economic fruit forest ecosystems in Shanghai, East China. Chinese Journal of Ecology 32:11 (2013), 2881–2885.
43. Xueyan, G., Research on the Living Vegetation Volume of Common Landseape Plants in Nanjing. (Master). 2009, Nanjing Forestry University, Nanjing.
44. Yamada, T., Zuidema, P.A., Itoh, A., Yamakura, T., Ohkubo, T., Kanzaki, M., Ashton, P.S., Strong habitat preference of a tropical rain forest tree does not imply large differences in population dynamics across habitats. Journal of Ecology 95:2 (2007), 332–342.
45. Yang, J., Jinxing, Z., The failure and success of greenbelt program in Beijing. Urban Forestry and Urban Greening 6:4 (2007), 287–296.
46. Yang, L., Zhang, L., Li, Y., Wu, S., Water-related ecosystem services provided by urban green space: A case study in Yixing City (China). Landscape and Urban Planning 136 (2015), 40–51.
47. Yifan, Z., Jianhua, Z., The urban eco-environmental estimating system based on 3-dimension vegetation quantity. Chinese Landscape Architecture 17:5 (2001), 77–79.
48. Yifan, Z., Jianhua, Z., Fast method to detect and calculate LVV. Acta Ecology Sinica. Papers 26:12 (2006), 4204–4211.
49. Yu, F.-k., Huang, X.-h., Yuan, H., Ye, J.-x., Yao, P., Qi, D.-h., Xiong, H.-q., Spatial-temporal vegetation succession in Yao'an County, Yunnan Province, Southwest China during 1976–2014: A case survey based on RS technology for mountains eco-engineering. Ecological Engineering 73 (2014), 9–16.
50. Zhou, Y., Zhou, J., The urban eco-environmental estimating system based on 3-dimension vegetation quantity. Chinese Landscape Architecture 17:5 (2001), 77–79.
51. van Beijma, S., Comber, A., Lamb, A., Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data. Remote Sensing of Environment 149 (2014), 118–129.