Journal of Geo-information Science ›› 2020, Vol. 22 ›› Issue (3): 638-648.doi: 10.12082/dqxxkx.2020.190047
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LI Peilin1, LIU Xiaoping1,*(), HUANG Yinghuai1, ZHANG Honghui2
Received:
2019-01-25
Revised:
2019-07-22
Online:
2020-03-25
Published:
2020-05-18
Contact:
LIU Xiaoping
E-mail:liuxp3@mail.sysu.edu.cn
Supported by:
LI Peilin, LIU Xiaoping, HUANG Yinghuai, ZHANG Honghui. Mapping Impervious Surface Dynamics of Guangzhou Downtown based on Google Earth Engine[J].Journal of Geo-information Science, 2020, 22(3): 638-648.DOI:10.12082/dqxxkx.2020.190047
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[1] | Weng Q . Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends[J]. Remote Sensing of Environment, 2012,117:34-49. |
[2] | Arnold C L, Gibbons C J . Impervious surface coverage: The emergence of a key environmental indicator[J]. Journal of the American Planning Association, 1996,62(2):243-258. |
[3] | Schueler T . The importance of imperviousness[J]. Watershed protection techniques, 1994,1(3):100-101. |
[4] | Sawaya K E, Olmanson L G, Heinert N J , et al. Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery[J]. Remote Sensing of Environment, 2003,88(1-2):144-156. |
[5] | 徐涵秋, 王美雅 . 地表不透水面信息遥感的主要方法分析[J]. 遥感学报, 2016,20(5):1270-1289. |
[ Xu H Q, Wang M Y . Remote sensing-based retrieval of ground impervious surfaces[J]. Journal of Remote Sensing, 2016,20(5):1270-1289. ] | |
[6] | Powell R L, Roberts D A, Dennison P E , et al. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil[J]. Remote Sensing of Environment, 2007,106(2):253-267. |
[7] | Xu H . Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface index (NDISI)[J]. Photogrammetric Engineering & Remote Sensing, 2010,76(5):557-565. |
[8] | 向超, 朱翔, 胡德勇 , 等. 近20年京津唐地区不透水面变化的遥感监测[J]. 地球信息科学学报. 2018,20(5):684-693. |
[ Xiang C, Zhu X, Hu D Y , et al. Monitoring of the impervious surface with multi-resource remote sensing images in Beijing-Tianjin-Tangshan urban agglomeration in the past two decades[J]. Journal of Geo-information Science, 2018,20(5):684-693. ] | |
[9] | Bauer M E, Loffelholz B C, Wilson B. Estimating and mapping impervious surface area by regression analysis of Landsat imagery[M]. Remote sensing of impervious surfaces. Boca Raton: CRC Press, 2007: 31-48. |
[10] | Sebari I, He D . Automatic fuzzy object-based analysis of VHSR images for urban objects extraction[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013,79:171-184. |
[11] | Wu C . Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery[J]. Remote Sensing of Environment, 2004,93(4):480-492. |
[12] | Deng C, Wu C . BCI: A biophysical composition index for remote sensing of urban environments[J]. Remote Sensing of Environment, 2012,127:247-259. |
[13] | Hu D, Chen S, Qiao K , et al. Integrating CART algorithm and multi-source remote sensing data to estimate sub-pixel impervious surface coverage: A case study from Beijing Municipality, China[J]. Chinese Geographical Science, 2017,27(4):614-625. |
[14] |
Lu D, Moran E, Hetrick S . Detection of impervious surface change with multitemporal Landsat images in an urban-rural frontier[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011,66(3):298-306.
doi: 10.1016/j.isprsjprs.2010.10.010 pmid: 21552379 |
[15] | 王燕燕, 于海洋 . 基于倾斜摄影综合SVM与模糊规则的城市不透水面信息提取[J]. 地理与地理信息科学, 2018,34(6):20-26. |
[ Wang Y Y, Yu H Y . Urban impervious surface extraction by integrating SVM and fuzzy rules based on oblique photography[J]. Geography and Geo-Information Science, 2018,34(6):20-26. ] | |
[16] | 左家旗, 王泽根, 边金虎 , 等. 地表不透水面比例遥感反演研究综述[J]. 国土资源遥感, 2019,31(3):1-9. |
[ Zuo J Q, Wang Z G, Bian J H et al. Research review of remote sensing for ground impervious surface percentage retrieval[J]. Remote Sensing for Land & Resources, 2019,31(3):1-9. ] | |
[17] | 广州市统计局. 广州统计年鉴-2018[M]. 北京: 中国统计出版社, 2018. |
[ Guangzhou Statistics Bureau. Guangzhou statistical yearbook-2018[M]. Beijing: China Statistics Press, 2018. ] | |
[18] | Chander G, Markham B L, Helder D L . Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors[J]. Remote Sensing of Environment. 2009,113(5):893-903. |
[19] | Gorelick N, Hancher M, Dixon M , et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment. 2017,202:18-27. |
[20] | Meng Q, Zhang L, Sun Z , et al. Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China[J]. Remote Sensing of Environment, 2018,204:826-837. |
[21] | Zhang L, Weng Q . Annual dynamics of impervious surface in the Pearl River Delta, China, from 1988 to 2013, using time series Landsat imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016,113:86-96. |
[22] | Cheng Y, Zhao L, Wan W , et al. Extracting urban areas in China using DMSP/OLS nighttime light data integrated with biophysical composition information[J]. Journal of Geographical Sciences. 2016,26(3):325-338. |
[23] | 徐涵秋 . 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报, 2005,9(5):589-595. |
[ Xu H Q , A Study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI)[J]. Journal of Remote Sensing, 2005,9(5):585-595. ] | |
[24] | 赵英时 等. 遥感应用分析原理与方法[M]. 北京: 科学出版社, 2013: 12, 502. |
[ Zhao Y S et al. Principles and methods of remote sensing application analysis[M]. Beijing: Science Press, 2013: 12, 502. ] | |
[25] | 李晶, 徐涵秋, 李霞 , 等. 水土流失区马尾松林植被提取的土壤调节指数分析[J]. 地球信息科学学报, 2015,17(9):1128-1134. |
[ Li J, Xu H Q, Li X et al. Vegetation information extraction of pinus massoniana forest in soil erosion areas using soil-adjusted vegetation index[J]. Journal of Geo-information Science, 2015,17(9):1128-1134. ] | |
[26] | 贾祎琳, 张文, 孟令奎 . 面向GF-1影像的NDWI分割阈值选取方法研究[J]. 国土资源遥感. 2019,31(1):95-100. |
[ Jia W L, Zhang W, Meng L K . A study of selection method of NDWI segmentation threshold for GF-1 image[J]. Remote Sensing For Land & Resources, 2019,31(1):95-100. ] | |
[27] | 徐蓉, 张增祥, 赵春哲 . 湖泊水体遥感提取方法比较研究[J]. 遥感信息, 2015,30(1):111-118. |
[ Xu R, Zhang Z X, Zhao C Z . Different models used in extraction of lake water body based on MODIS data[J]. Remote Sensing Information, 2015,30(1):111-118. ] | |
[28] | Li X, Gong P, Liang L . A 30-year (1984-2013) record of annual urban dynamics of Beijing City derived from Landsat data[J]. Remote Sensing of Environment. 2015,166:78-90. |
[29] | Fitzpatrick-Lins K . Comparison of sampling procedures and data analysis for a land-use and land-cover map[J]. Photogrammetric Engineering and Remote Sensing, 1981,47(3):343-351. |
[30] | Wang J F, Li X H, Christakos G , et al. Geographical detectors based health risk assessment and its application in the neural tube defects study of the Heshun Region, China[J]. International Journal of Geographical Information Science, 2010,24(1):107-127. |
[31] | Gong P, Li X, Zhang W . 40-year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing[J]. Science Bulletin., 2019,64(11):756-763. |
[32] | 刘纪远, 匡文慧, 张增祥 , 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014,69(1):3-14. |
[ 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]. Journal of Geographical Sciences, 2014,69(1):3-14. ] | |
[33] |
Li X, Gong P . An “exclusion-inclusion” framework for extracting human settlements in rapidly developing regions of China from Landsat images[J]. Remote Sensing of Environment, 2016,186:286-296.
doi: 10.1016/j.rse.2016.08.029 |
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