Adv Search
Volume 0 Issue 2
. 
Turn off MathJax
Article Contents
Article Navigation >  Chinese Geographical Science  > 2014  >  (2): 231-244

LIU Qinping, YANG Yongchun, TIAN Hongzhen, ZHANG Bo, GU Lei. Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010[J]. Chinese Geographical Science, 2014, (2): 231-244. doi: 10.1007/s11769-013-0645-2
Citation: LIU Qinping, YANG Yongchun, TIAN Hongzhen, ZHANG Bo, GU Lei. Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010[J]. Chinese Geographical Science, 2014, (2): 231-244. doi: 10.1007/s11769-013-0645-2
shu

Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010

doi: 10.1007/s11769-013-0645-2
  • 1.

    College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;

  • 2.

    School of Management, Tianjin Polytechnic University, Tianjin 300387, China;

  • 3.

    Key Laboratory of Western China′s Environment Systems of the Ministry of Education, Lanzhou University, Lanzhou 730000, China;

  • 4.

    Department of Cultural Geography, Faculty of Spatial Science, University of Groningen, Groningen 9700AV, The Netherlands

  • Received Date: 2013-02-05
  • Rev Recd Date: 2013-06-03
  • Publish Date: 2014-01-27
  • Since the reform and opening-up program started in 1978, the level of urbanization has increased rapidly in China. Rapid urban expansion and restructuring have had significant impacts on the ecological environment especially within built-up areas. In this study, ArcGIS 10, ENVI 4.5, and Visual FoxPro 6.0 were used to analyze the human impacts on vegetation in the built-up areas of 656 Chinese cities from 1992 to 2010. Firstly, an existing algorithm was refined to extract the boundaries of the built-up areas based on the Defense Meteorological Satellite Program Operational Linescan System (DMSP_OLS) nighttime light data. This improved algorithm has the advantages of high accuracy and speed. Secondly, a mathematical model (Human impacts (HI)) was constructed to measure the impacts of human factors on vegetation during rapid urbanization based on Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI. HI values greater than zero indicate relatively beneficial effects while values less than zero indicate proportionally adverse effects. The results were analyzed from four aspects: the size of cities (metropolises, large cities, medium-sized cities, and small cities), large regions (the eastern, central, western, and northeastern China), administrative divisions of China (provinces, autonomous regions, and municipalities) and vegetation zones (humid and semi-humid forest zone, semi-arid steppe zone, and arid desert zone). Finally, we discussed how human factors impacted on vegetation changes in the built-up areas. We found that urban planning policies and developmental stages impacted on vegetation changes in the built-up areas. The negative human impacts followed an inverted ‘U’ shape, first rising and then falling with increase of urban scales. China’s national policies, social and economic development affected vegetation changes in the built-up areas. The findings can provide a scientific basis for municipal planning departments, a decision-making reference for government, and scientific guidance for sustainable development in China.
  • [1] The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. We are also grateful to Gilbert R. Bossé for his language help.
    [2] References
    [3] Al-Bakri J T, Taylor J C, 2003. Application of NOAA AVHRR for monitoring vegetation conditions and biomass in Jordan. Journal of Arid Environments, 54(3): 579-593. doi: 10.1006/ jare.2002.1081
    [4] Anyamba A, Tucker C J, 2005. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981-2003. Journal of Arid Environments, 63(3): 596-614. doi: 10.1016/ j.jaridenv.2005.03.007
    [5] Asrar G, Kanemasu E T, Yoshida M, 1985. Estimates of leaf area index from spectral reflectance of wheat under different cultural practices and solar angle. Remote Sensing of Environment, 17(1): 1-11. doi:  10.1016/0034-4257(85)90108-7
    [6] Baret F, Guyot G, 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35(2): 161-173. doi:  10.1016/0034-4257(91)90009-U
    [7] Beck P S A, Atzberger C, Høgda K A et al., 2006. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI. Remote Sensing of Environment, 100(3): 321-334. doi:  10.1016/j.rse.2005.10.021
    [8] Breheny M, 1997. Urban compaction: Feasible and acceptable? Cities, 14(4): 209-217. doi:  10.1016/S0264-2751(97)00005-X
    [9] Brown M E, Lary D J, Vrieling A et al., 2008. Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS. International Journal of Remote Sensing, 29(24): 7141-7158. doi:  10.1080/01431160802238435
    [10] Byomkesh T, Nakagoshi N, Dewan A M, 2012. Urbanization and green space dynamics in Greater Dhaka, Bangladesh. Landscape and Ecological Engineering, 8(1): 45-58. doi: 10.1007/ s11355-010-0147-7
    [11] Chen H Y, Jia B S, Lau S S Y, 2008. Sustainable urban form for Chinese compact cities: Challenges of a rapid urbanized economy. Habitat International, 32(1): 28-40. doi: 10.1016/ j.habitatint.2007.06.005
    [12] Chen J, Guo F, Wu Y, 2011. One decade of urban housing reform in China: Urban housing price dynamics and the role of migration and urbanization, 1995-2005. Habitat International, 35(1): 1-8. doi:  10.1016/j.habitatint.2010.02.003
    [13] Chen Shupeng, Zhao Yingshi, 1990. Remote Sensing Analysis. Beijing: Surveying and Mapping Press. (in Chinese)
    [14] Chen Zhiming, 1993. On the principle, contents and methods used to compile the Chinese geomorphological map: Taking the 1∶4000000 Chinese geomorphological map as an example. Acta Geographica Sinica, 48(2): 105-113. (in Chinese)
    [15] Croft T A, 1978. Nighttime images of the earth from space. Scientific American, 239(1): 86-98. doi: 10.1038/scientificamerican 0778-86
    [16] Deng C, Wu C, 2012. BCI: A biophysical composition index for remote sensing of urban environments. Remote Sensing of Environment, 127: 247-259. doi:  10.1016/j.rse.2012.09.009
    [17] Dong Xiaofeng, Yang Baojun, 2008. The advancement of construction and research on livable city in China. Advances in Earth Science, 23(3): 323-326. (in Chinese)
    [18] Feliciano M, Prosperi D C, 2011. Planning for low carbon cities: Reflection on the case of Broward County, Florida, USA. Cities, 28(6SI): 505-516. doi:  10.1016/j.cities.2011.04.004
    [19] Fensholt R, Proud S R, 2012. Evaluation of earth observation based global long term vegetation trends: Comparing GIMMS and MODIS global NDVI time series. Remote Sensing of Environment, 119: 131-147. doi:  10.1016/j.rse.2009.04.004
    [20] Gallo K, Li L, Reed B et al., 2005. Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data. Remote Sensing of Environment, 99(3): 221-231. doi:  10.1016/j.rse.2005.08.014
    [21] Gitelson A A, Kaufman Y J, 1998. MODIS NDVI optimization to fit the AVHRR data series spectral considerations. Remote Sensing of Environment, 66(3): 343-350. doi:  10.1016/S0034-4257(98)00065-0
    [22] Han Guifeng, Xu Jianhua, Yuan Xingzhong, 2008. Impact of urbanization on vegetation phenology in major cities in Yangtze River Delta region. Chinese Journal of Applied Ecology, 19(8): 1803-1809. (in Chinese)
    [23] Han Sunsheng, Qin Bo, 2004. The compact city and sustainable urban development in China. Urban Planning International, 19(6): 23-27. (in Chinese)
    [24] He Chunyang, Shi Peijun, Li Jinggang et al., 2006. Reconstruction of the spatial process of urbanization in the 1990s in mainland China based on DMSP/OLS nighttime light imagery and statistical data. Chinese Science Bulletin, 51(7): 856-861. (in Chinese)
    [25] Henderson M, Yeh E T, Gong P et al., 2003. Validation of urban boundaries derived from global night-time satellite imagery. International Journal of Remote Sensing, 24(3): 595-609. doi:  10.1080/01431160210144534
    [26] Hu M Q, Mao F, Sun H et al., 2011. Study of normalized difference vegetation index variation and its correlation with climate factors in the three-river-source region. International Journal of Applied Earth Observation and Geoinformation, 13(1): 24-33. doi:  10.1016/j.jag.2010.06.003
    [27] Huang Fang, Wang Ping, 2010. Vegetation change of ecotone in west of Northeast China Plain using time-series remote sensing data. Chinese Geographical Science, 20(2): 167-175. doi:  10.1007/s11769-010-0167-0
    [28] Imhoff M L, Lawrence W T, Stutzer D C et al., 1997. A technique for using composite DMSP/OLS ‘City Lights’ satellite data to accurately map urban areas. Remote Sensing of Environment, 61(3): 361-370. doi: 10.1016/S0034-4257(97)00046- 01
    [29] Jenks M, Burton E, Williams K, 1996. The Compact City: A Sustainable Urban Form? London: Spon Press.
    [30] Jia B Q, 2013. Driving factor analysis on the vegetation changes derived from the Landsat TM images in Beijing. Acta Eco­lo­gica Sinica, 33(5): 1654-1666. doi: 10.5846 /stxb201208251199
    [31] Jiang D J, Fu X F, Wang K, 2013. Vegetation dynamics and their response to freshwater inflow and climate variables in the Yellow River Delta, China. Quaternary International, 304: 75-84. doi:  10.1016/j.quaint.2012.10.059
    [32] Jing X, Yao W Q, Wang J H et al., 2011. A study on the relationship between dynamic change of vegetation coverage and precipitation in Beijing's mountainous areas during the last 20 years. Mathematical and Computer Modelling, 54(3-4): 1079-1085. doi:  10.1016/j.mcm.2010.11.038
    [33] Kong F H, Nakagoshi N, 2006. Spatial-temporal gradient analysis of urban green spaces in Jinan, China. Landscape and Urban Planning, 78(3): 147-164. doi:  10.1016/j.landurbplan.2005.07.006
    [34] Liu Jiyuan, Zhang Qian, Hu Yunfeng, 2012. Regional differences of China's urban expansion from late 20th to early 21st century based on remote sensing information. Chinese Geographical Science, 22(1): 1-14. doi:  10.1007/s11769-012-0510-8
    [35] Liu Lin, Ma Anqing, Ma Qimin, 2012. Spatial and temporal variations of vegetation coverage in coastal peri-urban area: A case study of Laoshan District，Qingdao. Environmental Science & Technology, 35(1): 178-185. (in Chinese)
    [36] Liu Z F, He C Y, Zhang Q F et al., 2012. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008. Landscape and Urban Planning, 106(1): 62-72. doi:  10.1016/j.landurbplan.2012.02.013
    [37] Liu Z H, Yu J H, Zhang D, 2011. Study on low-carbon building ecological city construction in harmonious Beibu Gulf culture. Procedia Environmental Sciences, 10(Part C): 1881-1886. doi:  10.1016/j.proenv.2011.09.294
    [38] Mao D H, Wang Z M, Luo L et al., 2012. Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China. International Journal of Applied Earth Observation and Geoin­formation, 18: 528-536. doi:  10.1016/j.jag.2011.10.007
    [39] Martínez B, Gilabert M A, 2009. Vegetation dynamics from NDVI time series analysis using the wavelet transform. Remote Sensing of Environment, 113(9): 1823-1842. doi:  10.1016/j.rse.2009.04.016
    [40] Meng Bin, Yin Weihong, Zhang Jingqiu et al., 2009. The spatial characteristics of the livable city satisfaction degree Index in Beijing. Geographical Research, 28(5): 1318-1326. (in Chinese)
    [41] National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 1993. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
    [42] National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 2001. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
    [43] National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 2011. China City statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
    [44] National Bureau of Statistics of China, Department of Population and Employment Statistics, 2011. China Population and Employment Statistics Yearbook. Beijing: China Statistics Press. (in Chinese)
    [45] Phan D U, Nakagoshi N, 2007. Analyzing urban green space pattern and eco-network in Hanoi, Vietnam. Landscape and Ecological Engineering, 3(2): 143-157. doi: 10.1007/s11355- 007-0030-3
    [46] Rhew I C, Stoep A V, Kearney A et al., 2011. Validation of the normalized difference vegetation index as a measure of neighborhood greenness. Annals of Epidemiology, 21(12): 946-952. doi:  10.1016/j.annepidem.2011.09.001
    [47] Roy M, 2009. Planning for sustainable urbanisation in fast growing cities: Mitigation and adaptation issues addressed in Dhaka, Bangladesh. Habitat International, 33(3SI): 276-286. doi:  10.1016/j.habitatint.2008.10.022
    [48] Sato Y, Yamamoto K, 2005. Population concentration, urbanization, and demographic transition. Journal of Urban Economics, 58(1): 45-61. doi:  10.1016/j.jue.2005.01.004
    [49] Sellers P J, 1987. Relations between canopy reflectance, photosynthesis and transpiration: Links between optics, biophysics and canopy architecture. Advances in Space Research, 7(11): 27-44. doi:  10.1016/0273-1177(87)90291-2
    [50] Shafik N, 1994. Economic development and environmental quality: An econometric analysis. Oxford Economic Papers, 46 (Supp.1): 757-773. doi:  10.1093/oep/46.Supplement_1.757
    [51] Shu Song, Yu Bailang, Wu Jianping et al., 2011. Methods for deriving urban built-up area using night-light data: Assessment and application. Remote Sensing Technology and Application, 26(2): 169-176. (in Chinese)
    [52] Small C, Pozzi F, Elvidge C D, 2005. Spatial analysis of global urban extent from DMSP-OLS night lights. Remote Sensing of Environment, 96(3): 277-291. doi:  10.1016/j.rse.2005.02.002
    [53] Sun Shizhou, 1998. Concerning the vegetation Chinese regionalization map as a part of in the natural geographical atlas of the People's Republic of China. Acta Phytoecologica Sinica, 22(6): 523-537. (in Chinese)
    [54] United Nations, Department of Economic and Social Affairs, Population Division, 2012. World Urbanization Prospects: The 2011 Revision. New York: United Nations.
    [55] Wang Dongmei, Meng Xingmin, Xing Zhao et al., 2012. Dynamic change of vegetation coverage and the driving forces in Wudu district based on remote sensing. Journal of Arid Land Resources and Environment, 26(11): 92-97. (in Chinese)
    [56] Weiss J L, Gutzler D S, Coonrod J E A et al., 2004a. Seasonal and inter-annual relationships between vegetation and climate in central New Mexico, USA. Journal of Arid Environments, 57(4): 507-534. doi:  10.1016/S0140-1963(03)00113-7
    [57] Weiss J L, Gutzler D S, Coonrod J E A et al., 2004b. Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA. Journal of Arid Environments, 58(2): 249-272. doi:  10.1016/j.jaridenv.2003.07.001
    [58] Xia Beicheng, 2010. Urban Ecological Landscape Pattern and Ecological Effects. Beijing: Science Press. (in Chinese)
    [59] Xia Beicheng, Gong Jianzhou, 2006. Spatio-temporal pattern and hierarchical characteristics of vegetation fraction from 1990 to 2005 in Guangzhou. Ecologic Science, 25(5): 417-422. (in Chinese)
    [60] Xu Weixin, Liu Xiaodong, 2007. Response of vegetation in the Qinghai-Tibet Plateau to global warming. Chinese Geographical Science, 17(2): 151-159. doi: 10.1007/s11769-007- 0151-5
    [61] Yu F F, Price K P, Ellis J et al., 2003. Response of seasonal vegetation development to climatic variations in eastern central Asia. Remote Sensing of Environment, 87(1): 42-54. doi:  10.1016/S0034-4257(03)00144-5
    [62] Yung E H K, Chan E H W, 2012. Implementation challenges to the adaptive reuse of heritage buildings: Towards the goals of sustainable, low carbon cities. Habitat International, 36(3): 352-361. doi:  10.1016/j.habitatint.2011.11.001
    [63] Zhang K H, Song S F, 2003. Rural-urban migration and urbanization in China: Evidence from time-series and cross-section analyses. China Economic Review, 14(4): 386-400. doi:  10.1016/j.chieco.2003.09.018
    [64] Zhang Zhixin, Deng Ruru, Li Hao et al., 2011. Remote sensing monitoring of vegetation coverage in southern China based on pixel unmixing: A case study of Guangzhou City. Remote Sensing for Land & Resources, 23(3): 88-94. (in Chinese)
    [65] Zhao X, Tan K, Zhao S et al., 2011. Changing climate affects vegetation growth in the arid region of the northwestern China. Journal of Arid Environments, 75(10): 946-952. doi: 10.1016/j.jaridenv.2011.05.007Zhou Feng, Xu Youpeng, Lu Huihua, 2012. Analysis of the vegetation change in the Yangtze River Delta based on Modis-EVI Time Series data. Resources and Environment in the Yangtze Basin, 21(11): 1363-1369. (in Chinese)
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(546) PDF downloads(1539) Cited by()

Proportional views
Related

Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010

doi: 10.1007/s11769-013-0645-2
  • 1. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;
  • 2. School of Management, Tianjin Polytechnic University, Tianjin 300387, China;
  • 3. Key Laboratory of Western China′s Environment Systems of the Ministry of Education, Lanzhou University, Lanzhou 730000, China;
  • 4. Department of Cultural Geography, Faculty of Spatial Science, University of Groningen, Groningen 9700AV, The Netherlands
  • Received Date: 2013-02-05
  • Rev Recd Date: 2013-06-03
  • Publish Date: 2014-01-27

Abstract: Since the reform and opening-up program started in 1978, the level of urbanization has increased rapidly in China. Rapid urban expansion and restructuring have had significant impacts on the ecological environment especially within built-up areas. In this study, ArcGIS 10, ENVI 4.5, and Visual FoxPro 6.0 were used to analyze the human impacts on vegetation in the built-up areas of 656 Chinese cities from 1992 to 2010. Firstly, an existing algorithm was refined to extract the boundaries of the built-up areas based on the Defense Meteorological Satellite Program Operational Linescan System (DMSP_OLS) nighttime light data. This improved algorithm has the advantages of high accuracy and speed. Secondly, a mathematical model (Human impacts (HI)) was constructed to measure the impacts of human factors on vegetation during rapid urbanization based on Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI. HI values greater than zero indicate relatively beneficial effects while values less than zero indicate proportionally adverse effects. The results were analyzed from four aspects: the size of cities (metropolises, large cities, medium-sized cities, and small cities), large regions (the eastern, central, western, and northeastern China), administrative divisions of China (provinces, autonomous regions, and municipalities) and vegetation zones (humid and semi-humid forest zone, semi-arid steppe zone, and arid desert zone). Finally, we discussed how human factors impacted on vegetation changes in the built-up areas. We found that urban planning policies and developmental stages impacted on vegetation changes in the built-up areas. The negative human impacts followed an inverted ‘U’ shape, first rising and then falling with increase of urban scales. China’s national policies, social and economic development affected vegetation changes in the built-up areas. The findings can provide a scientific basis for municipal planning departments, a decision-making reference for government, and scientific guidance for sustainable development in China.

LIU Qinping, YANG Yongchun, TIAN Hongzhen, ZHANG Bo, GU Lei. Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010[J]. Chinese Geographical Science, 2014, (2): 231-244. doi: 10.1007/s11769-013-0645-2
Citation: LIU Qinping, YANG Yongchun, TIAN Hongzhen, ZHANG Bo, GU Lei. Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR, MODIS and DMSP_OLS Nighttime Light Data, 1992-2010[J]. Chinese Geographical Science, 2014, (2): 231-244. doi: 10.1007/s11769-013-0645-2
shu

    HTML

Reference (65)

Catalog

    Copyright © Editorial office of Chinese Geographical Science

    Tel: +86-0431-85542219   Email: egeoscien@neigae.ac.cn  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return