Annual dynamics of impervious surfaces at city level of Pearl River Delta metropolitan

International Journal of Remote Sensing

Volumn 39, Issue 11, 2018, Pages 3537-3555

  Xu, Ru ^a   Zhang, Hongsheng ^a   Lin, Hui ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; ECONOMIC AND SOCIAL EFFECTS;

GROSS DOMESTIC PRODUCTS; IMPERVIOUS SURFACE; IMPERVIOUS SURFACE ESTIMATION; NORMALIZED DIFFERENCES; OVERALL ACCURACIES; SURFACE REFLECTANCE; TEMPORAL FILTERING; URBAN IMPERVIOUS SURFACES;

URBAN GROWTH;

GROSS DOMESTIC PRODUCT; METROPOLITAN AREA; MODIS; SATELLITE DATA; TIME SERIES ANALYSIS; URBAN DEVELOPMENT;

CHINA; DONGGUAN; FOSHAN; GUANGDONG; GUANGZHOU; HONG KONG; HUIZHOU; SHENZHEN; ZHONGSHAN; ZHUHAI; ZHUJIANG DELTA;

EID: 85044280361     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2018.1444290     Document Type: Article

References (42)

1. Carlson, T. N., and S., Traci Arthur. 2000. “The Impact of Land Use—Land Cover Changes Due to Urbanization on Surface Microclimate and Hydrology: A Satellite Perspective.” Global and Planetary Change 25 (1): 49–65. doi:10.1016/S0921-8181(00)00021-7.
2. Clark, M. L., T., Mitchell Aide, H., Ricardo Grau, and G., Riner. 2010. “A Scalable Approach to Mapping Annual Land Cover at 250 M Using MODIS Time Series Data: A Case Study in the Dry Chaco Ecoregion of South America.” Remote Sensing of Environment 114 (11): 2816–2832. doi:10.1016/j.rse.2010.07.001.
3. Deuskar, C., 2014. East Asia's Changing Urban Landscape: Measuring A Decade of Spatial Growth. Washington, DC: World Bank Publications.
4. Friedl, M. A., D. K., McIver, J. C. F., Hodges, X. Y., Zhang, D., Muchoney, A. H., Strahler, C. E., Woodcock, S., Gopal, A., Schneider, and A., Cooper. 2002. “Global Land Cover Mapping from MODIS: Algorithms and Early Results.” Remote Sensing of Environment 83 (1): 287–302. doi:10.1016/S0034-4257(02)00078-0.
5. Gómez, C., J. C., White, and M. A., Wulder. 2016. “Optical Remotely Sensed Time Series Data for Land Cover Classification: A Review.” ISPRS Journal of Photogrammetry and Remote Sensing 116: 55–72. doi:10.1016/j.isprsjprs.2016.03.008.
6. Griffiths, P., P., Hostert, O., Gruebner, and S., van der Linden 2010. “Mapping Megacity Growth with Multi-Sensor Data.” Remote Sensing of Environment 114 (2): 426–439. doi:10.1016/j.rse.2009.09.012.
7. Grinand, C., F., Rakotomalala, V., Gond, R., Vaudry, M., Bernoux, and G., Vieilledent. 2013. “Estimating Deforestation in Tropical Humid and Dry Forests in Madagascar from 2000 to 2010 Using Multi-Date Landsat Satellite Images and the Random Forests Classifier.” Remote Sensing of Environment 139: 68–80. doi:10.1016/j.rse.2013.07.008.
8. Khatami, R., G., Mountrakis, and S. V., Stehman. 2016. “A Meta-Analysis of Remote Sensing Research on Supervised Pixel-Based Land-Cover Image Classification Processes: General Guidelines for Practitioners and Future Research.” Remote Sensing of Environment 177: 89–100. doi:10.1016/j.rse.2016.02.028.
9. Kuang, W., W., Chi, D., Lu, and Y., Dou. 2014. “A Comparative Analysis of Megacity Expansions in China and the US: Patterns, Rates and Driving Forces.” Landscape and Urban Planning 132: 121–135. doi:10.1016/j.landurbplan.2014.08.015.
10. Kuenzer, C., S., Dech, and W., Wagner. 2015. “Remote Sensing Time Series Revealing Land Surface Dynamics: Status Quo and the Pathway Ahead.” Remote Sensing Time Series, 1–24. Cham: Springer.
11. Li, X., H., Guo, H., Yang, Z., Sun, L., Zhang, S., Yan, G., Shen, W., Wu, L., Liang, and M., Wang. 2015. “Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets.” Remote Sensing Time Series, 401–426. Cham: Springer.
12. Li, X., P., Gong, and L., Liang. 2015. “A 30-Year (1984–2013) Record of Annual Urban Dynamics of Beijing City Derived from Landsat Data.” Remote Sensing of Environment 166: 78–90. doi:10.1016/j.rse.2015.06.007.
13. Lin, G. C. S., 2002. “The Growth and Structural Change of Chinese Cities: A Contextual and Geographic Analysis.” Cities 19 (5): 299–316. doi:10.1016/S0264-2751(02)00039-2.
14. Liu, F., Z., Zhang, and X., Wang. 2016. “Forms of Urban Expansion of Chinese Municipalities and Provincial Capitals, 1970s–2013.” Remote Sensing 8 (11): 930. doi:10.3390/rs8110930.
15. Liu, Z., C., He, Q., Zhang, Q., Huang, and Y., Yang. 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.
16. Lu, D., and Q., Weng. 2006. “Use of Impervious Surface in Urban Land-Use Classification.” Remote Sensing of Environment 102 (1): 146–160. doi:10.1016/j.rse.2006.02.010.
17. Lu, D., S., Hetrick, and E., Moran. 2011. “Impervious Surface Mapping with QuickBird Imagery.” International Journal of Remote Sensing 32 (9): 2519–2533. doi:10.1080/01431161003698393.
18. Ma, T., C., Zhou, T., Pei, S., Haynie, and J., Fan. 2012. “Quantitative Estimation of Urbanization Dynamics Using Time Series of DMSP/OLS Nighttime Light Data: A Comparative Case Study from China’s Cities.” Remote Sensing of Environment 124: 99–107. doi:10.1016/j.rse.2012.04.018.
19. Ma, T., Y., Zhou, C., Zhou, S., Haynie, T., Pei, and T., Xu. 2015. “Night-Time Light Derived Estimation of Spatio-Temporal Characteristics of Urbanization Dynamics Using DMSP/OLS Satellite Data.” Remote Sensing of Environment 158: 453–464. doi:10.1016/j.rse.2014.11.022.
20. Michishita, R., Z., Jiang, and B., Xu. 2012. “Monitoring Two Decades of Urbanization in the Poyang Lake Area, China through Spectral Unmixing.” Remote Sensing of Environment 117: 3–18. doi:10.1016/j.rse.2011.06.021.
21. Ou, J., X., Liu, X., Li, Y., Chen, and J., Li. 2016. “Quantifying Spatiotemporal Dynamics of Urban Growth Modes in Metropolitan Cities of China: Beijing, Shanghai, Tianjin, and Guangzhou.” Journal of Urban Planning and Development 143 (1): 04016023. doi:10.1061/(ASCE)UP.1943-5444.0000352.
22. Pal, M., and P. M., Mather. 2005. “Support Vector Machines for Classification in Remote Sensing.” International Journal of Remote Sensing 26 (5): 1007–1011. doi:10.1080/01431160512331314083.
23. Pouliot, D., R., Latifovic, N., Zabcic, L., Guindon, and I., Olthof. 2014. “Development and Assessment of a 250m Spatial Resolution MODIS Annual Land Cover Time Series (2000–2011) for the Forest Region of Canada Derived from Change-Based Updating.” Remote Sensing of Environment 140: 731–743. doi:10.1016/j.rse.2013.10.004.
24. Powell, S. L., W. B., Cohen, Z., Yang, J. D., Pierce, and M., Alberti. 2008. “Quantification of Impervious Surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006.” Remote Sensing of Environment 112 (4): 1895–1908.
25. Ramamurthy, P., and E., Bou‐Zeid. 2014. “Contribution of Impervious Surfaces to Urban Evaporation.” Water Resources Research 50 (4): 2889–2902. doi:10.1002/2013WR013909.
26. Ridd, M. K., 1995. “Exploring a VIS (Vegetation-Impervious Surface-Soil) Model for Urban Ecosystem Analysis through Remote Sensing: Comparative Anatomy for Cities†.” International Journal of Remote Sensing 16 (12): 2165–2185. doi:10.1080/01431169508954549.
27. Schneider, A., M. A., Friedl, and D., Potere. 2009. “A New Map of Global Urban Extent from MODIS Satellite Data.” Environmental Research Letters 4 (4): 044003. doi:10.1088/1748-9326/4/4/044003.
28. Schneider, A., M. A., Friedl, and D., Potere. 2010. “Mapping Global Urban Areas Using MODIS 500-M Data: New Methods and Datasets Based on ‘Urban Ecoregions’.” Remote Sensing of Environment 114 (8): 1733–1746. doi:10.1016/j.rse.2010.03.003.
29. Sexton, J. O., X.-P., Song, C., Huang, S., Channan, M. E., Baker, and J. R., Townshend. 2013. “Urban Growth of the Washington, DC–Baltimore, MD Metropolitan Region from 1984 to 2010 by Annual, Landsat-Based Estimates of Impervious Cover.” Remote Sensing of Environment 129: 42–53. doi:10.1016/j.rse.2012.10.025.
30. Shen, J., Z., Feng, and K. Y., Wong. 2006. “Dual-Track Urbanization in a Transitional Economy: The Case of Pearl River Delta in South China.” Habitat International 30 (3): 690–705. doi:10.1016/j.habitatint.2005.04.003.
31. Slonecker, E. T., D. B., Jennings, and D., Garofalo. 2001. “Remote Sensing of Impervious Surfaces: A Review.” Remote Sensing Reviews 20 (3): 227–255. doi:10.1080/02757250109532436.
32. Song, X.-P., J. O., Sexton, C., Huang, S., Channan, and J. R., Townshend. 2016. “Characterizing the Magnitude, Timing and Duration of Urban Growth from Time Series of Landsat-Based Estimates of Impervious Cover.” Remote Sensing of Environment 175: 1–13. doi:10.1016/j.rse.2015.12.027.
33. Suarez-Rubio, M., T. R., Lookingbill, and A. J., Elmore. 2012. “Exurban Development Derived from Landsat from 1986 to 2009 Surrounding the District of Columbia, USA.” Remote Sensing of Environment 124: 360–370. doi:10.1016/j.rse.2012.03.029.
34. Sutton, P. C., S. J., Anderson, C. D., Elvidge, B. T., Tuttle, and T., Ghosh. 2009. “Paving the Planet: Impervious Surface as Proxy Measure of the Human Ecological Footprint.” Progress in Physical Geography 33 (4): 510–527. doi:10.1177/0309133309346649.
35. Taubenböck, H., T., Esch, A., Felbier, M., Wiesner, A., Roth, and S., Dech. 2012. “Monitoring Urbanization in Mega Cities from Space.” Remote Sensing of Environment 117: 162–176. doi:10.1016/j.rse.2011.09.015.
36. USGS. http://earthexplorer.usgs.gov
37. Wei, Y., H., Liu, W., Song, B., Yu, and C., Xiu. 2014. “Normalization of Time Series DMSP-OLS Nighttime Light Images for Urban Growth Analysis with Pseudo Invariant Features.” Landscape and Urban Planning 128: 1–13. doi:10.1016/j.landurbplan.2014.04.015.
38. Xu, H., 2013. “Rule-Based Impervious Surface Mapping Using High Spatial Resolution Imagery.” International Journal of Remote Sensing 34 (1): 27–44. doi:10.1080/01431161.2012.703343.
39. Xu, J., and A. G. O., Yeh. 2003. “Guangzhou.” Cities 20 (5): 361–374. doi:10.1016/S0264-2751(03)00056-8.
40. Yuan, F., and M. E., Bauer. 2007. “Comparison of Impervious Surface Area and Normalized Difference Vegetation Index as Indicators of Surface Urban Heat Island Effects in Landsat Imagery.” Remote Sensing of Environment 106 (3): 375–386. doi:10.1016/j.rse.2006.09.003.
41. Zhang, L., and Q., Weng. 2016. “Annual Dynamics of Impervious Surface in the Pearl River Delta, China, from 1988 to 2013, Using Time Series Landsat Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 113: 86–96. doi:10.1016/j.isprsjprs.2016.01.003.
42. Zhou, Y., X., Huang, Y., Chen, T., Zhong, G., Xu, J., He, and H., Meng. 2017. “The Effect of Land Use Planning (2006–2020) on Construction Land Growth in China.” Cities 68: 37–47. doi:10.1016/j.cities.2017.04.014.