[1] Xu H-Q (徐涵秋). Quantitative analysis on the relationship of urban impervious surface with other components of the urban ecosystem. Acta Ecologica Sinica (生态学报), 2009, 29(5): 2456-2462 (in Chinese) [2] Sun RH, Chen AL, Chen LD, et al. Cooling effects of wetlands in urban region: The case of Beijing. Ecological Indicators, 2012, 20: 57-64 [3] Seto KC, Guneralp B, Hutyra LR. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109: 16083-16088 [4] Oke TR. The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 1982, 108: 1-24 [5] Kuang W-H (匡文慧), Chi W-F (迟文峰), Shi W-J (史文娇). Spatio-temporal characteristics of intra-urban land cover in the cities of China and USA from 1978 to 2010. Acta Geographica Sinica (地理学报), 2014, 69(7): 883-895 (in Chinese) [6] Wickham JD, Wade TG, Norton DJ. Spatial patterns of watershed impervious cover relative to stream location. Ecological Indicators, 2014, 40: 109-116 [7] Villa P. Mapping urban growth using soil and vegetation index and landsat data: The Milan (Italy) city area case study. Landscape and Urban Planning, 2012, 107: 245-254 [8] Tang Y (唐 尧), Song Y (宋 瑜), Xie J-J (谢俊杰). Urban compactness changes in China from 2000 to 2010. Ecological Science (生态科学), 2016, 35(3): 134-139 (in Chinese) [9] Xu H-Q (徐涵秋), Shi T-T (施婷婷), Wang M-Y (王美雅), et al. Land cover changes in the Xiong’an New Area and a prediction of ecological response to forthcoming regional planning. Acta Ecologica Sinica (生态学报), 2017, 37(19): 6289-6301 (in Chinese) [10] Weng QH. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sensing of Environment, 2012, 117: 34-49 [11] Lu D, Moran E, Hetrick S. Detection of impervious surface change with multitemporal Landsat images in an urban rural frontier. ISPRS Journal of Photogrammetry & Remote Sensing, 2011, 66: 298-306 [12] Wang L (王 雷), Li C-C (李丛丛), Ying Q (应 清), et al. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Science Bulletin (科学通报), 2012, 57(16): 1388-1399 (in Chinese) [13] Sexton JO, Song XP, Huang C, et al. Urban growth of the Washington, D.C.-Baltimore, MD metropolitan region from 1984 to 2010 by annual, Landsat-based estimates of impervious cover. Remote Sensing of Environment, 2013, 129: 42-53 [14] Weng X-L (温小乐), Lin Z-F (林征峰), Tang F (唐菲). Remote sensing analysis of ecological change caused by construction of the new island city: Pingtan Comprehensive Experimental Zone, Fujian Province. Chinese Journal of Applied Ecology (应用生态学报), 2015, 26(2): 541-547 (in Chinese) [15] Mensah F, Adanu SK, Adanu DK. Remote sensing and GIS based assessment of land degradation and implications for Ghan’s ecological zones. Environmental Practice, 2015, 17: 3-15 [16] Xu H-Q (徐涵秋). Analysis on urban heat island effect based on the dynamics of urban surface biophysical descriptors. Acta Ecologica Sinica (生态学报), 2011, 31(14): 3890-3901 (in Chinese) [17] Du PJ, Xia JS, Du Q, et al. Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS. International Journal of Remote Sensing, 2013, 34: 848-863 [18] Behling R, Bochow M, Foerster S, et al. Automated GIS-based derivation of urban ecological indicators using hyperspectral remote sensing and height information. Ecological Indicators, 2015, 48: 218-234 [19] Xu HQ, Shi TT, Wang MY, et al. Predicting effect of forthcoming population growth-induced impervious surface increase on regional thermal environment: Xiong’an New Area, North China. Building and Environment, 2018, 136: 98-106 [20] Song H-M (宋慧敏), Xue L (薛 亮). Dynamic monitoring and analysis of ecological environment in Weinan City, Northwest China based on RSEI model. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(12): 3913-3919 (in Chinese) [21] Zhang H (张 浩), Du P-J (杜培军), Luo J-Q (罗洁琼), et al. Ecological change analysis of Nanjing City based on remote sensing ecological index. Geospatial Information (地理空间信息), 2017, 15(2): 58-62 (in Chinese) [22] Zou C-C (邹春城), Zhang Y-S (张友水), Huang H-H (黄欢欢). Impacts of impervious surface area and landscape metrics on urban heat environment in Fuzhou City, China. Journal of Geo-information Science (地球信息科学学报), 2014, 16(3): 490-498 (in Chinese) [23] Beurs KM, Henebry GM. Land surface phenogy, clima-tic variation, and institutional change: Analyzing agriculture land cover change in Kazakhstan. Remote Sen-sing of Environment, 2004, 89: 497-509 [24] Yin C-Y (尹昌应), Shi Y-S (石忆邵), Wang H-F (王贺封), et al. Impacts of urban landscape from on thermal environment at multi-spatial levels. Resources and Environment in the Yangtze Basin (长江流域资源与环境), 2015, 24(1): 97-105 (in Chinese) [25] Guo G-H (郭冠华), Wu Z-F (吴志峰), Liu X-N (刘晓南). Seasonal variations of urban heat environment and its relationship to impervious surface: A case study of Guangzhou core urban area. Ecology and Environmental Sciences (生态环境学报), 2015, 24(2): 270-277 (in Chinese) [26] Morabito M, Crisci A, Messeri A, et al. The impact of built-up surfaces on land surface temperatures in Italian urban areas. Science of the Total Environment, 2016, 551: 317-326 [27] Carpio OV, Fath BD. Assessing the environmental impacts of urban growth using land use/land cover, water quality and health indicators: A case study of Arequipa, Peru. American Journal of Environmental Sciences, 2011, 7: 90-101 [28] Kuang W-H (匡文慧), Liu J-Y (刘纪远), Lu D-S (陆灯盛). Pattern of impervious surface change and its effect on water environment in the Beijing-Tianjin-Tang-shan metropolitan area. Acta Geographica Sinica (地理学报), 2011, 66(11): 1486-1496 (in Chinese) [29] Xu H-Q (徐涵秋), Zhang H (张 好). Ecological response to urban expansion in an island city: Xiamen, southeastern China. Scientia Geographica Sinica (地理科学), 2015, 35(7): 867-872 (in Chinese) [30] The United Nations. World Urbanization Prospects: The 2014 Revision, (ST/ESA/SER.A/366) [EB/OL]. (2015-09-09) [2018-01-02]. https://esa.un.org/unpd/wup/Publications/Files/WUP2014-Report.pdf [31] Van de Voorde T, Jacquet W, Canters F. Mapping form and function in urban areas: An approach based on urban metrics and continuous impervious surface data. Landscape and Urban Planning, 2011, 102: 143-155 [32] Chander G, Markham BL, Helder DL. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sen-sing of Environment, 2009, 113: 893-903 [33] Jr Charvz PS. Image-based atmospheric corrections: Revisited and revised. Photogrammetric Engineering and Remote Sensing, 1996, 62: 1025-1036 [34] Ramsey RD, Wright Jr DL, McGinty C. Evaluating the use of Landsat 30 m Enhanced Thematic Mapper to monitor vegetation cover in shrub-steppe environments. Geocarto International, 2004, 19: 39-47 [35] Xu HQ. Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface index (NDISI). Photogrammetric Engineering & Remote Sensing, 2010, 76: 557-565 [36] Wentz EA, Anderson S, Fragkias M, et al. Supporting global environmental change research: A review of trends and knowledge gaps in urban remote sensing. Remote Sensing, 2014, 6: 3879-3905 [37] Li D-R (李德仁), Luo H (罗 晖), Shao Z-F (邵振峰). Review of impervious surface mapping using remote sensing technology and its application. Geomatics and Information Science of Wuhan University (武汉大学学报:信息科学版), 2016, 41(5): 569-703 (in Chinese) [38] Seto KC, Fragkias M. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology, 2005, 20: 871-888 [39] Tian G, Jiang J, Yang Z, et al. The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China. Ecological Modelling, 2011, 222: 865-878 [40] Xu H-Q (徐涵秋). A remote sensing index for assessment of regional ecological changes. China Environment Science (中国环境科学), 2013, 33(5): 889-897 (in Chinese) [41] Wang S-Y (王士远), Zhang X-X (张学霞), Zhu T (朱 彤), et al. Assessment of ecological environment quality in the Changbai Mountain Nature Reserve based on remote sensing technology. Progress in Geography (地理科学进展), 2016, 35(10): 1269-1278 (in Chinese) [42] Wu Z-J (吴志杰), Wang M-M (王猛猛), Chen S-J (陈绍杰), et al. Monitoring and evaluation of ecological environment’s spatio-temporal variation in mine based on RSEI in Yongding mine. Ecological Science (生态科学), 2016, 35(5): 200-207 (in Chinese) [43] Hu XS, Xu HQ. A new remote sensing index for asses-sing the spatial heterogeneity in urban ecological quality: A case from Fuzhou City, China. Ecological Indicators, 2018, 89: 11-21 [44] Crist EP. A TM Tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of Environment, 1985, 17: 301-306 [45] Baig MHA, Zhang LF, Shuai T, et al. Derivation of a tasselled cap transformation based on Landsat 8 at-sate-llite reflectance. Remote Sensing Letters, 2014, 5: 423-431 [46] Kearney MS, Rogers AS, Townshend JRG. Developing a model for determining coastal marsh “health”. Third Thematic Conference on Remote Sensing for Marine and Coastal Environments, Washington, 1995: 527-537 [47] Jiménez-Muéoz JC, Cristóbal J, Sobrino JA, et al. Revision of the single-channel algorithm for land surface temperature retrieval from Landsat thermal-infrared data. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47: 339-349 [48] Jiménez-Muéoz JC, Sobrino JA, Skokovic' D, et al. Land surface temperature retrieval methods from landsat-8 thermal infrared sensor data. IEEE Geoscience and Remote Sensing Letters, 2014, 11: 1840-1843 [49] McGarigal K, Cushman SA, Ene E. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps [EB/OL]. (2012-05-05) [2018-03-03]. http://www.umass.edu/landeco/research/fragstats/fragstats.htm [50] Schneider A. Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach. Remote Sen-sing of Environment, 2012, 124: 689-704 [51] U.S. Census Bureau. 2010 Census of Population and Housing, Population and Housing Unit Counts, CPH-2-1, United States Summary. Washington, DC: U.S. Government Printing Office, 2012 |