Spatial-temporal variations of surface urban heat island intensity induced by different definitions of rural extents in China.
暂无分享,去创建一个
Kangning Li | Adu Gong | Yunhao Chen | Yunhao Chen | Mengjie Wang | Kangning Li | A. Gong | Mengjie Wang
[1] Benjamin Bechtel,et al. A New Global Climatology of Annual Land Surface Temperature , 2015, Remote. Sens..
[2] Yuyu Zhou,et al. The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. , 2017, The Science of the total environment.
[3] S. Liang,et al. Urbanisation and health in China , 2010, The Lancet.
[4] Bo Huang,et al. Spatiotemporal Variation in Surface Urban Heat Island Intensity and Associated Determinants across Major Chinese Cities , 2015, Remote. Sens..
[5] B. Stone. Urban and rural temperature trends in proximity to large US cities: 1951–2000 , 2007 .
[6] H. Akbari,et al. Local climate change and urban heat island mitigation techniques – the state of the art , 2015 .
[7] Z. Wan. New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product , 2014 .
[8] W. Emery,et al. Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology , 1989 .
[9] Nathaniel A. Brunsell,et al. A new perspective to assess the urban heat island through remotely sensed atmospheric profiles , 2015 .
[10] R. Yao,et al. Interannual variations in surface urban heat island intensity and associated drivers in China. , 2018, Journal of environmental management.
[11] D. Streutker,et al. Satellite-measured growth of the urban heat island of Houston, Texas , 2003 .
[12] Alexandru Dumitrescu,et al. The July urban heat island of Bucharest as derived from modis images , 2009 .
[13] A. Arnfield. Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .
[14] Neil Debbage,et al. The urban heat island effect and city contiguity , 2015, Comput. Environ. Urban Syst..
[15] Stefania Bonafoni,et al. Remote sensing of the urban heat island effect in a highly populated urban agglomeration area in East China. , 2018, The Science of the total environment.
[17] W. Stefanov,et al. The Role of Rural Variability in Urban Heat Island Determination for Phoenix, Arizona , 2004 .
[18] D. Lu,et al. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .
[19] C. Tucker,et al. Evidence for a significant urbanization effect on climate in China. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[20] L. Bounoua,et al. Remote sensing of the urban heat island effect across biomes in the continental USA , 2010 .
[21] David Lister,et al. Urbanization effects in large-scale temperature records, with an emphasis on China , 2008 .
[22] K. Oleson,et al. Strong contributions of local background climate to urban heat islands , 2014, Nature.
[23] J. A. Quintanilha,et al. DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon , 2006 .
[24] Jinfei Wang,et al. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands , 2016 .
[25] Javier Martin-Vide,et al. On the definition of urban heat island intensity: the “rural” reference , 2015, Front. Earth Sci..
[26] J. D. Tarpley,et al. Assessment of urban heat islands: a satellite perspective , 1995 .
[27] Chandra Venkataraman,et al. Flip flop of Day-night and Summer-Winter Surface Urban Heat Island Intensity in India , 2017, Scientific Reports.
[28] G. Sun,et al. Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China. , 2016, The Science of the total environment.
[29] Decheng Zhou,et al. Surface urban heat island in China's 32 major cities: Spatial patterns and drivers , 2014 .
[30] Nina Schwarz,et al. Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany) , 2012 .
[31] Yuyu Zhou,et al. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use , 2012 .
[32] T. Oke,et al. Thermal remote sensing of urban climates , 2003 .
[33] N. Grimm,et al. Global Change and the Ecology of Cities , 2008, Science.
[34] Z. Wan. New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .
[35] A. Strahler,et al. The footprint of urban climates on vegetation phenology , 2004 .
[36] G. Carrus,et al. Benefits and well-being perceived by people visiting green spaces in periods of heat stress. , 2009 .
[37] T. Oke. The urban energy balance , 1988 .
[38] W. Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .
[39] Xiaoling Chen,et al. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes , 2006 .
[40] T. Pei,et al. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities , 2012 .
[41] P. Ciais,et al. Response to Comment on ``Surface Urban Heat Island Across 419 Global Big Cities'' , 2012 .
[42] X. Lee,et al. Interaction between urban heat island and urban pollution island during summer in Berlin. , 2018, The Science of the total environment.
[43] L. Bounoua,et al. Characterizing urban heat islands of global settlements using MODIS and nighttime lights products , 2010 .
[44] P. Gong,et al. MODIS detected surface urban heat islands and sinks: Global locations and controls , 2013 .
[45] W. Zhan,et al. Identification of typical diurnal patterns for clear-sky climatology of surface urban heat islands , 2018, Remote Sensing of Environment.
[46] Shuguang Liu,et al. Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities. , 2016 .
[47] Nina Schwarz,et al. Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures , 2011 .
[48] Jeff Dozier,et al. A generalized split-window algorithm for retrieving land-surface temperature from space , 1996, IEEE Trans. Geosci. Remote. Sens..
[49] Zhenhui Sun,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 , 2018 .
[50] T. Chakraborty,et al. A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability , 2019, Int. J. Appl. Earth Obs. Geoinformation.
[51] Ying Li,et al. The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data , 2018, Remote. Sens..
[52] R. Dickinson,et al. The Footprint of Urban Areas on Global Climate as Characterized by MODIS , 2005 .
[53] Qihao Weng,et al. Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. , 2009 .
[54] H. Akbari,et al. Calculating energy-saving potentials of heat-island reduction strategies , 2005 .
[55] E. Kalnay,et al. Impact of urbanization and land-use change on climate , 2003, Nature.
[56] J. Patz,et al. Impact of regional climate change on human health , 2005, Nature.
[57] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[58] Osamu Higashi,et al. A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data , 2009 .
[59] Christian Berger,et al. Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives , 2018, Remote. Sens..
[60] R. Yao,et al. Less sensitive of urban surface to climate variability than rural in Northern China. , 2018, The Science of the total environment.
[61] R. DeFries. Terrestrial Vegetation in the Coupled Human-Earth System: Contributions of Remote Sensing , 2008 .
[62] Yuyu Zhou,et al. Urban mapping using DMSP/OLS stable night-time light: a review , 2017, Remote Sensing of Night-time Light.
[63] Y. Yasuoka,et al. Assessment with satellite data of the urban heat island effects in Asian mega cities , 2006 .
[64] Xin Huang,et al. The influence of different data and method on estimating the surface urban heat island intensity , 2018, Ecological Indicators.
[65] T. Kershaw,et al. Utilising green and bluespace to mitigate urban heat island intensity. , 2017, The Science of the total environment.
[66] D. Streutker. A remote sensing study of the urban heat island of Houston, Texas , 2002 .
[67] Qiuhong Tang,et al. The footprint of urban heat island effect in 302 Chinese cities: Temporal trends and associated factors. , 2019, The Science of the total environment.
[68] R. Yao,et al. Temporal trends of surface urban heat islands and associated determinants in major Chinese cities. , 2017, The Science of the total environment.
[69] Weimin Ju,et al. Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products , 2018 .
[70] Ji Zhou,et al. Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[71] C. Elvidge,et al. Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .
[72] G. Sun,et al. The footprint of urban heat island effect in China , 2015, Scientific Reports.