Assessment of human impacts on vegetation in built-up areas in China based on AVHRR, MODIS and DMSPOLS nighttime light data, 1992-2010

Chinese Geographical Science

Volumn 24, Issue 2, 2014, Pages 231-244

  Liu, Qinping ^a,b   Yang, Yongchun ^a   Tian, Hongzhen ^a   Zhang, Bo ^c   Gu, Lei ^a  

^a LANZHOU UNIVERSITY   (China)

^b TIANJIN POLYTECHNIC UNIVERSITY   (China)

^c UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

built up areas; human impact; nighttime light data; Normalized Difference Vegetation Index (NDVI); urbanization; vegetation change

Indexed keywords

ALGORITHM; ANTHROPOGENIC EFFECT; AVHRR; GIS; MODIS; NDVI; NUMERICAL MODEL; REMOTE SENSING; SUSTAINABLE DEVELOPMENT; URBAN PLANNING; URBANIZATION; VEGETATION;

CHINA;

EID: 84897111905     PISSN: 10020063     EISSN: 1993064X     Source Type: Journal    
DOI: 10.1007/s11769-013-0645-2     Document Type: Article

References (64)

1. 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
2. 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
3. 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
4. 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
5. 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
6. Breheny M, 1997. Urban compaction: Feasible and acceptable Cities, 14(4): 209-217. doi: 10.1016/S0264-2751(97)00005-X
7. 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
8. 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
9. 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
10. 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
11. Chen Shupeng, Zhao Yingshi, 1990. Remote Sensing Analysis. Beijing: Surveying and Mapping Press. (in Chinese)
12. 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)
13. Croft T A, 1978. Nighttime images of the earth from space. Scientific American, 239(1): 86-98. doi: 10.1038/scientificamerican0778-86
14. 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
15. 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)
16. 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
17. 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
18. 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
19. 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
20. 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)
21. Han Sunsheng, Qin Bo, 2004. The compact city and sustainable urban development in China. Urban Planning International, 19(6): 23-27. (in Chinese)
22. 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)
23. 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
24. 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
25. 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
26. 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
27. Jenks M, Burton E, Williams K, 1996. The Compact City: A Sustainable Urban Form London: Spon Press.
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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)
34. 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
35. 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
36. 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
37. 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
38. 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)
39. National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 1993. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
40. National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 2001. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
41. National Bureau of Statistics of China, Department of Urban Social and Economic Survey, 2011. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
42. 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)
43. 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
44. 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
45. 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
46. 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
47. 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
48. Shafik N, 1994. Economic development and environmental quality: An econometric analysis. Oxford Economic Papers, 46(Supp.1): 757-773. doi: 10.1093/oep/46.Supplement1.757
49. 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)
50. 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
51. 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)
52. United Nations, Department of Economic and Social Affairs, Population Division, 2012. World Urbanization Prospects:tThe 2011 Revision. New York: United Nations.
53. 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)
54. 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
55. 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
56. Xia Beicheng, 2010. Urban Ecological Landscape Pattern and Ecological Effects. Beijing: Science Press. (in Chinese)
57. 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)
58. 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
59. 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
60. 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
61. 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
62. 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)
63. 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.2011.05.007
64. Zhou 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)