1. Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences,Peking University, Beijing 100871, China 2. Beijing Key Laboratory of Spatial Information Integration and Its Application, Peking University, Beijing 100871, China
Based on the remote sensing data, this paper aims to construct an urban environment livability evaluation system on the basis of remote sensing factors and further evaluate the livability of the urban environment. An object-oriented classification method was used to classify urban ecological land into five categories from GF-1 satellite data: water body, vegetation area, road, building land, and bare soil. In addition, the urban surface temperature was retrieved from Landsat8 thermal infrared data and then, the urban thermal environment was calculated. Finally, on the basis of constructing the urban ecological land and urban thermal environment factors, a weight method was used to calculate the ecological quality index (EQI) of the city in order to establish an overall evaluation system of urban environmental livability. Applications in Beijing City showed that, from 2013 to 2014, the urban heat island effect in Beijing was not obvious, and most areas were suitable or basically suitable for human habitation.
董家集, 任华忠, 郑逸童, 聂婧, 孟晋杰, 秦其明. 基于多源遥感数据的城市环境宜居性研究——以北京市为例[J]. 国土资源遥感, 2020, 32(3): 165-172.
DONG Jiaji, REN Huazhong, ZHENG Yitong, NIE Jing, MENG Jinjie, QIN Qiming. A study of the livability of urban environment based on multi-source remote sensing data: A case study of Beijing City. Remote Sensing for Land & Resources, 2020, 32(3): 165-172.
Wang S Y, Liu Y H, Zhang L H. Research progress on environmental assessment system of livable community[J]. Shanxi Building, 2017,43(22):183-185.
[3]
Ruut V. The four qualities of life ordering concepts and measures of the good life[M]. Dordrecht:Springer Netherlands, 2013: 195-226.
[4]
Omuta G E D. The quality of urban life and the perception of livability:A case study of neighbourhoods in Benin City,Nigeria[J]. Social Indicators Research, 1988,20(4):417-440.
doi: 10.1007/BF00302336
[5]
Geller A L. Smart growth:A prescription for livable cities[J]. American Journal of Public Health, 2003,93(9):1410-1415.
doi: 10.2105/ajph.93.9.1410
pmid: 12948954
[6]
Mayer H, Knox P L. Slow cities:Sustainable places in a fast world[J]. Journal of Urban Affairs, 2006,28(4):321-334.
doi: 10.1111/j.1467-9906.2006.00298.x
[7]
Okulicz-Kozaryn A. City life:Rankings (livability) versus perceptions (satisfaction)[J]. Social Indicators Research, 2013,110(2):433-451.
doi: 10.1007/s11205-011-9939-x
[8]
Zanella A, Camanho A S, Dias T G. The assessment of cities’ livability integrating human wellbeing and environmental impact[J]. Annals of Operations Research, 2015,226(1):695-726.
doi: 10.1007/s10479-014-1666-7
[9]
Leach J M, Lee S E, Boyko C T, et al. Dataset of the livability performance of the city of Birmingham,UK,as measured by its citizen wellbeing,resource security,resource efficiency and carbon emissions[J]. Data in Brief, 2017,15:691-695.
pmid: 29124092
[10]
Suresh K. What works to make cities good for living?[J]. Journal of Health Management, 2016,18(3):367-380.
doi: 10.1177/0972063416651564
[11]
Ghasemi K, Hamzenejad M, Meshkini A. The spatial analysis of the livability of 22 districts of Tehran Metropolis using multi-criteria decision making approaches[J]. Sustainable Cities and Society, 2018,38:382-404.
doi: 10.1016/j.scs.2018.01.018
[12]
Mouratidis K. Is compact city livable? The impact of compact versus sprawled neighbourhoods on neighbourhood satisfaction[J]. Urban Studies, 2018,55(11):2408-2430.
doi: 10.1177/0042098017729109
Zhang W Z. Theoretical research and practical thinking on the construction of livable cities in China[J]. International Urban Planning, 2016,31(5):1-6.
doi: 10.22217/upi
Cui F Q, Tang H P, Zhang X. Evaluation of urban livability in Beijing-Tianjin-Hebei region and analysis of influencing factors:An empirical study based on panel data from 2010 to 2016[J]. Journal of Beijing Normal University(Natural Science), 2018,54(5):110-117.
White M A, Nemani R R, Thornton P E, et al. Satellite evidence of phenological differences between urbanized and rural areas of the eastern united states deciduous broadleaf forest[J]. Ecosystems, 2002,5(3):260-273.
doi: 10.1007/s10021-001-0070-8
[18]
Grimm N B, Faeth S H, Golubiewski N E, et al. Global change and the ecology of cities[J]. Science, 2008,319(5864):756-760.
pmid: 18258902
[19]
Akbari H, Pomerantz M, Taha H. Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas[J]. Solar Energy, 2001,70(3):295-310.
doi: 10.1016/S0038-092X(00)00089-X
Zhang J P, Qiao Q, Liu C L, et al. Study on ecological land planning in Beijing based on the minimum cumulative resistance model[J]. Acta Ecologica Sinica, 2017,37(19):6313-6321.
[21]
Fu B, Yu D L, Zhang Y J. The livable urban landscape:GIS and remote sensing extracted land use assessment for urban livability in Changchun Proper,China[J]. Land Use Policy, 2019,87:104048.
doi: 10.1016/j.landusepol.2019.104048
[22]
Shahtahmassebi A R, Wu C, Blackburn G A, et al. How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay bridge,China[J]. Land Use Policy, 2018,77(77):479-497.
doi: 10.1016/j.landusepol.2018.05.059
Wei W, Shi P J, Feng H C, et al. Evaluation on the suitability of human settlements in arid inland river basin:A case study of Shiyang River basin[J]. Journal of Natural Resources, 2012,27(11):1940-1950.
doi: 10.11849/zrzyxb.2012.11.013
National Environmental Protection Standards of the People’s Republic of China. HJ 192-2015 Technical Specification of the Evaluation of the Ecological Environment[S]. Beijing: China Environmental Science Press, 2015.
Liu J H, Mao Z Y. Review of the method of segmentation of remote sensing images with high spatial resolution[J].Remote Sensing Information 2009(6):95-101.
[26]
汪求来. 面向对象遥感影像分类方法及其应用研究[D]. 南京:南京林业大学, 2008.
Wang Q L. Object-oriented remote sensing image classification method and application[D]. Nanjing:Nanjing Forestry University, 2008.
Zhang J, Xie Y F. Overview of classification methods of hyperspectral remote sensing images[J].Anhui Agricultural Science Bulletin, 2017,25(14):155,165.
[28]
McFeeters S K. The use of the normalized difference water index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996,17(7):1425-1432.
doi: 10.1080/01431169608948714
[29]
Rouse Jr J W, Haas R, Schell J, et al. Monitoring vegetation systems in the Great Plains with ERTS[J]. NASA Special Publication, 1974,1:309-317.
Lei X Q, Wang W X, Lai J. A road extraction method based on shape features for high-resolution remote sensing images[J]. Journal of Surveying and Mapping, 2009,38(5):457-465.
[31]
何江. 超高分辨率遥感影像城市建筑物和道路分类研究[D]. 兰州:兰州大学, 2019.
He J. Study on classification of urban buildings and roads in ultra-high resolution remote sensing images[D]. Lanzhou:Lanzhou University, 2019.
Xie J L, Li Y S, Li H C, et al. Method of identifying damaged buildings in hollow villages by using the texture features of gray scale symbiotic matrix[J].Surveying and Mapping Advisory 2017(12):90-93,102.
Xue X J, Meng Q Y, Wang C M, et al. HJ-1B monitoring and analysis of temporal and spatial variation of heat island effect in Beijing[J]. Journal of Earth Information Science, 2012,14(4):474-480.
[34]
Du C, Ren H Z, Qin Q M, et al. A practical split-window algorithm for estimating land surface temperature from Landsat8 data[J]. Remote Sensing, 2015,7(1):647-665.
doi: 10.3390/rs70100647