目前，城市化进程正在全球范围内以前所未有的速度进行。据联合国最新人口统计数据显示，2014年全球已有54%的人口居住在城市，并预测到2050年，城市人口比例将达到66%。城市化在给全世界带来繁荣和进步的同时，也给全球的生态环境带来了明显的负面影响，其中城市热岛效应表现尤为突出，已经引起了全球范围内的普遍关注。
首都师范大学胡德勇教授在“2019年第三届全国热红外定量遥感学术研讨会”上的报告，详细介绍了人为热排放及其对城市热环境的影响。
温馨小贴士：文末有彩蛋哦~~~
学者简介丨胡德勇
首都师范大学资源环境与旅游学院教授，博士生导师。研究方向为城市遥感、自然灾害遥感监测与评估等。Email:deyonghu@cnu.edu.cn
[1] 胡德勇,乔琨,王兴玲,等. 单窗算法结合Landsat8 热红外数据反演地表温度 [J]. 遥感学报,2015,19(6): 964-976
[2] 胡德勇,李京,陈云浩,张锦水.2007.GIS支持下滑坡灾害空间预测方法研究.遥感学报,11(6):852-859
[3] 苏伟,李京,陈云浩,张锦水,胡德勇,刘翠敏.2007.基于多尺度影像分割的面向对象城市土地覆被分类研究——以马来西亚吉隆坡市城市中心区为例.遥感学报,11(4):521-530
[4] 胡德勇, 乔琨, 王兴玲, 等. 利用单窗算法反演Landsat 8 TIRS数据地表温度 [J]. 武汉大学学报（信息科学版）[J], 2017,07(42): 869-876. DOI: 10.13203/j.whugis20150164
[5] Shasha Wang, Deyong Hu, Shanshan Chen, et al. A Partition Modeling for Anthropogenic Heat Flux Mapping in China [J]. Remote Sensing, 11(9): 1132, 2019. DOI: 10.3390/rs11091132.
[6] Shanshan Chen, Deyong Hu, ManSing Wong, et al. Characterizing spatiotemporal dynamics of anthropogenic heat fluxes: A 20-year case study in Beijing–Tianjin–Hebei region in China [J]. Environmental Pollution, 249: 923-931, 2019. DOI: 10.1016/j.envpol.2019.03.113.
[7] Shisong Cao, Deyong Hu, Wenji Zhao, et al. Monitoring changes in the impervious surfaces of urban functional zones using multisource remote sensing data: a case study of Tianjin, China [J]. GIScience & Remote Sensing, 2019. DOI: 10.1080/15481603.2019.1600110.
[8] Shanshan Chen, Deyong Hu. Parameterizing Anthropogenic Heat Flux with an Energy-Consumption Inventory and Multi-Source Remote Sensing Data [J]. Remote Sensing, 9(11), 2017. DOI: 10.3390/rs9111165.
[9] Shisong, Cao, Deyong, Hu, Zhuowei, Hu, et al. Comparison of spatial structures of urban agglomerations between the Beijing-Tianjin-Hebei and Boswash based on the subpixel-level impervious surface coverage product [J]. Journal of Geographical Sciences, 28(3): 306-322, 2018. DOI: 10.1007/s11442-018-1474-0.
[10] Shisong Cao, Deyong, Hu, Zhuowei Hu, et al. An integrated soft and hard classification approach for evaluating urban expansion from multisource remote-sensing data: a case study of the Beijing-Tianjin-Tangshan metropolitan region, China [J]. International Journal of Remote Sensing, 39(11): 3556-3579, 2018. DOI: 10.1080/01431161.2018.144429.
[11] Deyong Hu, Shisong Cao, Shanshan Chen, et al. Monitoring spatial patterns and changes of surface net radiation in urban and suburban areas using satellite remote-sensing data [J]. International Journal of Remote Sensing, 38(4): 1043-1061, 2017. DOI: 10.1080/01431161.2016.1275875
[12] Hu Deyong, Chen Shanshan, Qiao Kun, et al. Integrating the CART algorithm and multi-source remote sensing data to estimate sub-pixel impervious surface coverage: a case study from Beijing Municipality, China [J]. Chinese Geographical Science, 27, 2017. DOI:10.1007/s11769-017-0882-x.
[13] Deyong Hu, Cheng Wang, Kun Qiao, et al. Parameterizing Aerodynamic Roughness Length at Regional Scale Based on Multi-source Remote Sensing Data [J]. International Journal of Remote Sensing, 36(13): 3483-3502, 2015. DOI: 10.1080/01431161.2015.1059967.
[14] Deyong Hu, Limin Yang, Ji Zhou, et al. Estimation of urban energy heat flux and anthropogenic heat discharge using aster image and meteorological data: case study in Beijing metropolitan area [J]. J. Appl. Remote Sens. 2012, 6 (1), 063559. doi:10.1117/ 1.JRS.6. 063559.
[15] Zhou Ji, HU Deyong, WENG Qihao. Analysis of surface radiation budget during the summer and winter in the metropolitan area of Beijing, China [J]. Journal of Applied Remote Sensing，2010, 4, 043513. DOI:10.1117/1.3374329.
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