[1] Slonecker ET, Jennings DB, Garofalo D. Remote sen-sing of impervious surfaces: A review. Remote Sensing Reviews, 2001, 20: 227-255 [2] Weng QH. Remote sensing of impervious surfaces in the urban areas: Requirements, methods and trends. Remote Sensing of Environment, 2012, 117: 34-49 [3] Weng QH. A remote sensing GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 2001, 22: 1999-2014 [4] Fan FL, Weng QH, Wang YP. Land use and land cover change in Guangzhou, China, from 1998 to 2003, based on Landsat TM/ETM+ imagery. Sensors, 2007, 7: 1323 [5] Deng YB, Fan FL, Chen RR. Extraction and analysis of impervious surfaces based on a spectral un-mixing method using Pearl River Delta of China Landsat TM/ETM+ imagery from 1998 to 2008. Sensors, 2012, 12: 1846-1862 [6] Zhang L, Weng QH. Annual dynamics of impervious surface in the Pearl River Delta, China, from 1988 to 2013, using time series Landsat imagery. Journal of Photogrammetry & Remote Sensing, 2016, 113: 86-96 [7] Conway TM. Impervious surface as an indicator of pH and specific conductance in the urbanizing coastal zone of New Jersey, USA. Journal of Environmental Management, 2007, 85: 308-316 [8] 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) [9] Liu Z, You LI, Peng J. Progress and perspective of the research on hydrological effects of urban impervious surface on water environment. Progress in Geography, 2011, 30: 420-460 [10] Coseo P, Larsen L. How factors of land use/land cover, building configuration, and adjacent heat sources and sinks explain Urban Heat Islands in Chicago. Landscape & Urban Planning, 2014, 125: 117-129 [11] Lu DS, Li GY, Kuang WH, et al. Methods to extract impervious surface areas from satellite images. International Journal of Digital Earth, 2014, 7: 93-112 [12] Chen L-D (陈利顶), Sun R-H (孙然好), Liu H-L (刘海莲). Eco-environmental effects of urban landscape pattern changes: Progresses, problems, and perspectives. Acta Ecologica Sinica (生态学报), 2013, 33(4): 1042-1050 (in Chinese) [13] Du P-J (杜培军), Shan D-D (单丹丹), Xia J-S (夏俊士), et al. Monitoring and analyzing urban landscape pattern change using Beijing-1 Small Satellite Remote Sensing Data: Taking the urban area of Xuzhou City as an example. Journal of Geo-Information Science (地球信息科学学报), 2010, 12(6): 855-862 (in Chinese) [14] Liu Z-H (刘珍环), Wang Y-L (王仰麟), Peng J (彭建), et al. Using ISA to analyze the spatial pattern of urban land cover change: A case study in Shenzhen. Acta Geographic Sinca (地理学报), 2011, 66(7): 961-971 (in Chinese) [15] Yu L-S (俞龙生), Fu Y-F (符以福), Yu H-Y (喻怀义), et al. Landscape pattern gradient dynamics and desakota features in rapid urbanization area: A case study in Panyu of Guangzhou. Chinese Journal of Applied Ecology (应用生态学报), 2011, 22(1): 171-180 (in Chinese) [16] Aguilera F, Valenzuela LM, Botequilha-Leito A. Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area. Landscape & Urban Planning, 2011, 99: 226-238 [17] Shrestha MK, York AM, Boone CG, et al. Land fragmentation due to rapid urbanization in the Phoenix Metropolitan Area: Analyzing the spatiotemporal patterns and drivers. Applied Geography, 2015, 32: 522-531 [18] Sunada H. Landscape ecological approach to the relationships of land use patterns in watersheds to water quality characteristics. Landscape & Urban Planning, 2009, 92: 80-89 [19] Xia J-S (夏俊士), Du P-J (杜培军), Zhang H-R (张海荣), et al. The quantitative relationship between land surface temperature and land cover types based on remotely sensed data. Remote Sensing Technology and Application (遥感技术与应用), 2010, 25(1): 15-23 (in Chinese) [20] Ding Y (丁 宇), Li G-C (李贵才), Lu X (路旭), et al. Spatial heterogeneity and air pollution removal by green space in greater Pearl River Delta. Progress in Geography (地理科学进展), 2011, 30(11): 1415-1421 (in Chinese) [21] Sha M, Tian G. An analysis of spatiotemporal changes of urban landscape pattern in Phoenix metropolitan region. Procedia Environmental Sciences, 2010, 2: 600-604 [22] Xu HQ. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 2006, 27: 3025-3033 [23] Ridd MK. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities. International Journal of Remote Sensing, 1995, 16: 2165-2185 [24] Wu CS, Murray AT. Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment, 2003, 84: 493-505 [25] Lu DS, Weng QH. Use of impervious surface in urban land-use classification. Remote Sensing of Environment, 2006, 102: 146-160 [26] Li H, Wu JG. Use and misuse of landscape indices. Landscape Ecology, 2004, 19: 389-399 |