Name: Quan Jinling
She is an associate Professor at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Her current research interests focus on environment remote sensing and urban thermal climate.
Address: A11, Datun Road, Beijing 100101, P. R. China
E-mail: quanjl@lreis.ac.cn
Tel.: 86-10-64889015

Education
2010-2015: Ph.D in Cartography and GIS, Beijing Normal University, China
2013-2014: Joint training of Ph.D in Remote Sensing, University of Western Ontario, Canada
2006-2010: B.S. in Survey Engineering, Tongji University, China

Academic Positions
2020-Present: Associate Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Resources, Chinese Academy of Sciences, China
2015-2019: Assistant Professor of State Key Laboratory of Resources and Environmental Information System, Institute of Geography, Chinese Academy of Sciences, China

Research Grands
[1]Nature Science Foundation of China (2017-2019), Patterns and dynamics of urban hotspots based on combination of spatio-temporal scale model (No. 41601462)
[2]The Ministry of Sciences and Technology (2016-2021). Modeling theory of pan-spatial information system (No. 2016YFB0502301)
[3]Chinese Academy of Sciences (2016-2021) Geo-computing methods for pan-spatial information system (No. QYZDY-SSW-DQC007-1)
[4]Nature Science Foundation of China (2015-2020), Urbanization and spatial consumption behavior based geo-big data (No. 41421001)

Selected publications
[1]Quan, J.L.*. Multi-temporal effects of urban forms and functions on urban heat islands based on local climate zone classification, International Journal of Environmental Research and Public Health, 2019, 16(2), 2140.
[2]Quan, J.L.*. Enhanced geographic information system-based mapping of local climate zones in Beijing, China, Science China Technological Sciences, 2019, 62(12), 2243-2260.
[3]Long D., Bai L., Yan L., Zhang C., Yang W., Lei H., Quan J.L.*, et al. Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution, Remote Sensing of Environment, 2019, 233, 111364.
[4]Quan, J. L., Zhan, W. F., Ma, T., Du, Y. Y., Guo, Z., & Qin, B. Y. An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes. Remote Sensing of Environment, 2018, 206, 403-423.
[5]Quan, J. L., Zhan, W. F., Chen, Y. H., Wang, M. J., & Wang, J.F. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands. Journal of Geophysical Research: Atmospheres, 2016, 121, 2638-2657.
[6]Chen, Y.H., Quan, J.L.*, Zhan, W.F., & Guo, Z. Enhanced statistical estimation of air temperature incorporating nighttime light data. Remote Sensing, 2016, 8, 656.
[7]Quan, J. L., Chen, Y. H., Zhan, W. F., Wang, J. F., Voogt, J. A., & Li, J. A hybrid method combining neighborhood information from satellite data with modeled diurnal temperature cycles over consecutive days. Remote Sensing of Environment, 2014a, 155, 257-274.
[8]Quan, J. L., Chen, Y. H., Zhan, W. F., Wang, J. F., Voogt, J. A., & Wang, M. J. Multi-temporal trajectory of urban heat island centroid in Beijing, China based on Gaussian volume model. Remote Sensing of Environment, 2014b, 149, 33-46.