40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing

Science Bulletin

Volumn 64, Issue 11, 2019, Pages 756-763

  Gong, Peng ^a   Li, Xuecao ^b   Zhang, Wei ^a  

^a TSINGHUA UNIVERSITY   (China)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Japan; Land cover change; Landsat data; Rural development; Urbanization

Indexed keywords

CONFORMAL MAPPING; REGIONAL PLANNING;

JAPAN; LAND-COVER CHANGE; LANDSAT; RURAL DEVELOPMENT; URBANIZATION;

REMOTE SENSING;

EID: 85064904268     PISSN: 20959273     EISSN: 20959281     Source Type: Journal    
DOI: 10.1016/j.scib.2019.04.024     Document Type: Article

References (41)

1. Angel, S., Parent, J., Civco, D.L., et al. The dimensions of global urban expansion: estimates and projections for all countries, 2000–2050. Progr Plann 75 (2011), 53–107.
2. Bounoua, L., Nigro, J., Zhang, P., et al. Mapping urbanization in the United States from 2001 to 2011. Appl Geogr 90 (2018), 123–133.
3. Jensen, J.R., Toll, D.L., Detecting residential land-use development at the urban fringe. Photogramm Eng Remote Sens 48 (1982), 629–643.
4. Howarth, P.J., Boasson, E., Landsat digital enhancements for change detection in urban environments. Remote Sens Environ 13 (1983), 149–160.
5. Lo, C.P., Chinese settlement pattern-analysis using Shuttle Imaging Radar-A data. Int J Remote Sens 5 (1984), 959–967.
6. Forster, B.C., An examination of some problems and solutions in monitoring urban areas from satellite platforms. Int J Remote Sens 6 (1985), 139–151.
7. Wang, L., Li, C.C., Ying, Q., et al. China's urban expansion from 1990 to 2010 determined with satellite remote sensing. Chin Sci Bull 57 (2012), 2802–2812.
8. Wang, J., Li, C.C., Hu, L.Y., et al. Seasonal land cover dynamics in Beijing derived from Landsat 8 data using a spatio-temporal contextual approach. Remote Sens 7 (2015), 865–881.
9. Song, X.P., Sexton, J.O., Huang, C.Q., et al. Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover. Remote Sens Environ 175 (2016), 1–13.
10. Huang, H.B., Chen, Y.L., Clinton, N., et al. Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. Remote Sens Environ 202 (2017), 166–176.
11. Cao, H., Liu, J., Fu, C., et al. Urban expansion and its impact on the land use pattern in Xishuangbanna since the reform and opening up of China. Remote Sens, 9, 2017, 137.
12. Li, X.C., Gong, P., Liang, L., A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data. Remote Sens Environ 166 (2015), 78–90.
13. Andrade-Nunez, M.J., Aide, T.M., Built-up expansion between 2001 and 2011 in South America continues well beyond the cities. Environ Res Lett, 13, 2018.
14. Mohammad Mehedy, H., Jane, S., Analyzing land cover change and urban growth trajectories of the mega-urban region of dhaka using remotely sensed data and an ensemble classifier. Sustainability, 10, 2018, 10.
15. Schneider, A., Friedl, M.A., Potere, D., A new map of global urban extent from MODIS satellite data. Environ Res Lett, 4, 2009.
16. Melchiorri, M., Florczyk, A.J., Freire, S., et al. Unveiling 25 years of planetary urbanization with remote sensing: perspectives from the global human settlement Layer. Remote Sens, 10, 2018, 768.
17. Seto, K.C., Fragkias, M., Gueneralp, B., et al. A meta-analysis of global urban land expansion. PLoS One, 6, 2011.
18. Xu, N., Gong, P., Significant coastline changes in China during 1991–2015 tracked by Landsat data. Sci Bull 63 (2018), 883–886.
19. Zhang, Z.X., Liu, F., Zhao, X.L., et al. Urban expansion in China based on remote sensing technology: a review. Chin Geogr Sci 28 (2018), 727–743.
20. Liu, J.Y., Kuang, W.H., Zhang, Z.X., et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. J Geogr Sci 24 (2014), 195–210.
21. Liu, X.P., Hu, G.H., Chen, Y.M., et al. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote Sens Environ 209 (2018), 227–239.
22. Li, X.C., Gong, P., An, “exclusion-inclusion” framework for extracting human settlements in rapidly developing regions of China from Landsat images. Remote Sens Environ 186 (2016), 286–296.
23. Elvidge, C.D., Baugh, K., Zhizhin, M., et al. VIIRS night-time lights. Int J Remote Sens 38 (2017), 5860–5879.
24. Braaten, J.D., Cohen, W.B., Yang, Z., Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems. Remote Sens Environ 169 (2015), 128–138.
25. Zhu, Z., Woodcock, C.E., Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sens Environ 118 (2012), 83–94.
26. Roy, D.P., Kovalskyy, V., Zhang, H.K., et al. Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity. Remote Sens Environ 185 (2016), 57–70.
27. Li, C., Gong, P., Wang, J., et al. The first all-season sample set for mapping global land cover with Landsat-8 data. Sci Bull 62 (2017), 508–515.
28. Zhou, Y.Y., Li, X.C., Asrar, G.R., et al. A global record of annual urban dynamics (1992–2013) from nighttime lights. Remote Sens Environ 219 (2018), 206–220.
29. Li, X.C., Zhou, Y.Y., Zhu, Z.Y., et al. Mapping annual urban dynamics (1985–2015) using time series of Landsat data. Remote Sens Environ 216 (2018), 674–683.
30. Shi, K.F., Chen, Y., Yu, B.L., et al. Urban expansion and agricultural land loss in china: a multiscale perspective. Sustainability, 8, 2016, 790.
31. Wang, J., Zhang, W.W., Zhang, Z.X., Quantifying the spatio-temporal dynamics of rural settlements and the associated impacts on land use in an undeveloped area of China. Sustainability, 10, 2018, 1490.
32. Yang, J., Wu, T.H., Gong, P., Implementation of China's new urbanization strategy requires new thinking. Sci Bull 62 (2017), 81–82.
33. Gong, P., Wang, J., Yu, L., et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. Int J Remote Sens 34 (2013), 2607–2654.
34. Hu, T.Y., Yang, J., Li, X.C., et al. Mapping urban land use by using Landsat images and open social data. Remote Sens, 8, 2016, 151.
35. Lyu, H.B., Lu, H., et al. Long-term annual mapping of four cities on different continents by applying a deep information learning method to Landsat data. Remote Sens, 10, 2018, 471.
36. Huang, X., Hu, T., Li, J.Y., et al. Mapping urban areas in china using multisource data with a novel ensemble SVM method. IEEE Trans Geosci Remote 56 (2018), 4258–4273.
37. Li, X.C., Gong, P., Urban growth models: progress and perspective. Sci Bull 61 (2016), 1637–1650.
38. Yang, J., Gong, P., Fu, R., et al. The role of satellite remote sensing in climate change studies. Nat Clim Change 3 (2013), 875–883.
39. Zhang, G.J., Cai, M., Hu, A.X., Energy consumption and the unexplained winter warming over northern Asia and North America. Nat Clim Change 3 (2013), 466–470.
40. Yu, C.Q., Huang, X., Chen, H., et al. Managing nitrogen to restore water in China. Nature 567 (2019), 516–520.
41. Guo, H., Wang, L., Liang, D., Big Earth Data from space: a new engine for Earth science. Sci Bull 61 (2016), 505–513.