Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016
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Ying Sun | Hua Su | Hui Lin | Yinyi Lin | Hongsheng Zhang | H. P. U. Fonseka | Hui Lin | Hongsheng Zhang | Hua Su | Yinyi Lin | Ying Sun
[1] S. Myint,et al. Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. , 2017, The Science of the total environment.
[2] W. Shi,et al. Land-use/land-cover change and its influence on surface temperature: a case study in Beijing City , 2013 .
[3] D. Lu,et al. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .
[4] S. Sultana,et al. Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization , 2018 .
[5] Paul M. Mather,et al. Ensemble of support vector machines for land cover classification , 2008, ArXiv.
[6] K. Clarke,et al. Diffusion and Coalescence of the Houston Metropolitan Area: Evidence Supporting a New Urban Theory , 2005 .
[7] 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 .
[8] A. Karnieli,et al. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region , 2001 .
[9] André Stumpf,et al. Object-oriented mapping of landslides using Random Forests , 2011 .
[10] Hui Lin,et al. A comparison study of impervious surfaces estimation using optical and SAR remote sensing images , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[11] Keechoo Choi,et al. Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh , 2013, Remote. Sens..
[12] Paul M. Mather,et al. Support vector machines for classification in remote sensing , 2005 .
[13] P. Pilesjö,et al. The effect of land use change on land surface temperature in the Netherlands , 2015 .
[14] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[15] Min Liu,et al. Remote-sensing image-based analysis of the patterns of urban heat islands in rapidly urbanizing Jinan, China , 2013 .
[16] Hongsheng Zhang,et al. Improving the impervious surface estimation with combined use of optical and SAR remote sensing images , 2014 .
[17] W. Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .
[18] M. Pal,et al. Random forests for land cover classification , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[19] J. Monteith,et al. Boundary Layer Climates. , 1979 .
[20] J. Sobrino,et al. A generalized single‐channel method for retrieving land surface temperature from remote sensing data , 2003 .
[21] G. A-Du,et al. Spatial Distribution Patterns of the Urban Heat Island Based on Remote Sensing Images: a Case Study in Beijing, China , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.
[22] G. F. Ibrahim. Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq , 2017 .
[23] Hongsheng Zhang,et al. Exploring the optimal integration levels between SAR and optical data for better urban land cover mapping in the Pearl River Delta , 2018, Int. J. Appl. Earth Obs. Geoinformation.
[24] Tamma A. Carleton,et al. Social and economic impacts of climate , 2016, Science.
[25] B. Markham,et al. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .
[26] Muhammad Tauhidur Rahman,et al. Detection of Land Use/Land Cover Changes and Urban Sprawl in Al-Khobar, Saudi Arabia: An Analysis of Multi-Temporal Remote Sensing Data , 2016, ISPRS Int. J. Geo Inf..
[27] Cardona Alzate,et al. Predicción y selección de variables con bosques aleatorios en presencia de variables correlacionadas , 2020 .
[28] Gerald A. P. Carrothers. An Historical Bedew of the Gravity and Potential Concepts of Human Interaction , 1956 .
[29] Yuei-An Liou,et al. Assessing the Effects of Land-Use Types in Surface Urban Heat Islands for Developing Comfortable Living in Hanoi City , 2018, Remote. Sens..
[30] Michael Spence,et al. Urbanization and Growth , 2008 .
[31] Jiang Li,et al. A manifold learning approach to urban land cover classification with optical and radar data , 2018 .
[32] Horst Stöcker,et al. Handbook of physics , 2002 .
[33] C. Cartalis,et al. Daytime urban heat islands from Landsat ETM+ and Corine land cover data: An application to major cities in Greece , 2007 .
[34] Anthony G. Vorster,et al. A survival guide to Landsat preprocessing. , 2017, Ecology.
[35] Hui Lin,et al. Quantifying Short-Term Urban Land Cover Change with Time Series Landsat Data: A Comparison of Four Different Cities , 2018, Sensors.
[36] Qihao Weng,et al. A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery , 2016 .
[37] Brian L. Markham,et al. Radiometric Cross Calibration of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) , 2014, Remote. Sens..
[38] Xiaoma Li,et al. Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures , 2013, Landscape Ecology.
[39] Yuji Murayama,et al. Spatiotemporal Analysis of Urban Growth Using GIS and Remote Sensing: A Case Study of the Colombo Metropolitan Area, Sri Lanka , 2016, ISPRS Int. J. Geo Inf..
[40] J. Kamini,et al. Spatio-temporal analysis of land use in urban mumbai -using multi-sensor satellite data and gis techniques , 2006 .
[41] Qihao Weng. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends , 2009 .
[42] Joan. UN-HABITAT:For a Better Urban Future , 2011 .
[43] Hui Lin,et al. Urban Impervious Surfaces Estimation From Optical and SAR Imagery: A Comprehensive Comparison , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[44] Stefania Bonafoni,et al. Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery , 2018, Remote. Sens..
[45] Atiqur Rahman,et al. Assessment of Land use/land cover Change in the North-West District of Delhi Using Remote Sensing and GIS Techniques , 2012, Journal of the Indian Society of Remote Sensing.
[46] P. K. Joshi,et al. Monitoring Urban Landscape Dynamics Over Delhi (India) Using Remote Sensing (1998–2011) Inputs , 2013, Journal of the Indian Society of Remote Sensing.
[47] Hui Lin,et al. A new scheme for urban impervious surface classification from SAR images , 2018 .
[48] Y. Murayama,et al. Intensity and spatial pattern of urban land changes in the megacities of Southeast Asia , 2015 .
[49] José A. Sobrino,et al. Toward remote sensing methods for land cover dynamic monitoring: Application to Morocco , 2000 .
[50] F. Pla,et al. Characterizing the relationship between land use land cover change and land surface temperature , 2017 .
[51] Russell G. Congalton,et al. Assessing the accuracy of remotely sensed data : principles and practices , 1998 .
[52] Nigel Waters,et al. Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada , 2007 .
[53] José A. Sobrino,et al. Land surface temperature retrieval from LANDSAT TM 5 , 2004 .