Please wait a minute...
img

官方微信

遥感技术与应用  2019, Vol. 34 Issue (3): 553-563    DOI: 10.11873/j.issn.1004-0323.2019.3.0553
城市遥感专栏     
无人机热红外城市地表温度精细特征研究
田慧慧,冯 莉,赵璊璊,郭 松,董继伟
(河海大学 地球科学与工程学院,江苏 南京 211100)
Analysis of Meticulous Features of Urban Surface Temperature based on UAV Thermal Thermography
 Tian Huihui,Feng Li,Zhao Menmen,Guo Song,Dong Jiwei
(Department of Geographic Information Science,Hohai University,Nanjing 211100,China)
 全文: PDF(4437 KB)  
摘要:

以南京市江宁区某大学校园为研究区,利用无人机搭载热红外成像仪获取6种典型城市下垫面(水体、灌木、草坪、荷兰砖路面、大理石路面、沥青路面)地表温度数据,分析其在不同天气、不同月份的变化状况,并估算其感热释放量,定量描述不同下垫面地表温度的精细特征。通过对地表温度与气象因子进行相关性分析,探究地表温度变化的影响因素。结果表明:不同天气条件下,下垫面地表温度变化特征、感热释放量均存在差异。晴天时不同下垫面地表温度日变化波动较大,沥青路面温度相对较高,感热释放量最大,大理石、荷兰砖路面次之。水体和灌木在白天几乎没有感热释放量,对热环境缓解效应明显。阴天时不同下垫面地表温度日变化均不明显,人工地表仍然是感热释放的主体。气象因子中,太阳辐射和空气温度与下垫面温度呈正相关,对下垫面有增温作用,空气湿度与下垫面温度呈负相关,对下垫面增温具有一定的抑制作用。研究为城市微环境研究提供了新的思路和方法,并能够为城市微热环境遥感研究提供一定的理论依据。
 

 

关键词: 无人机热红外;城市下垫面;地表温度;微热环境;感热释放量
 
    
Abstract: Taking a university campus in Jiangning District of Nanjing as the study area,we used an Unmanned Aerial Vehicle (UAV) mounted with a thermal infrared imager to map the land surface temperature of the study area for analysis of thermal variance and its change over different typical urban surface patterns.6 typical urban underlying surfaces (water,shrubs,grass,brick pavement,marble pavement and asphalt pavement) were identified in the study area.Thus,the objective of the study is to analyze the variation of the obtained land surface temperature among the surface patterns in the study area and to reveal the detailed characteristics of the LST changes under different weather conditions within a day and a month.The estimation of sensible heat release was conducted to quantitatively describe the fine characteristics of the surface temperature of different underlying surfaces.The influencing factors of surface temperature changes were investigated by correlating surface temperature with meteorological factors.The results showed that under different weather conditions,there were differences in the characteristics of surface temperature and sensible heat release on underlying surfaces.In sunny days,the diurnal variation of different underlying surfaces fluctuated greatly,the temperature of asphalt pavement was relatively high,and the sensible heat release was the largest,which had the greatest impact on the thermal environment,followed by the marble and brick pavement.The water and shrub almost had no sensible heat release during the day,and the remission effect on the thermal environment was obvious.In cloudy days,the diurnal variation of surface temperature on different underlying surfaces was not obvious and the artificial was still the main body of sensible heat release.Referring to meteorological factors,the solar radiation and the air temperature were positively correlated with the surface temperature of the underlying surface which had a warming effect on the underlying surface.The air humidity was negatively correlated with the temperature of the underlying surface,which played a role of cooling the land surface.This research will provide a new idea and method for the study of urban micro\|thermal environment and a theoretical basis for the research of urban micro-thermal environment based on remote sensing.
 
 
〖HT〗〖ST〗〖HJ〗〖WT〗〖JP〗〖LM〗
〖GK2!2〗
Key words: UAV thermal infrared    Urban underlying surface    Land surface temperature    Micro-thermal environment    Sensible heat flux
收稿日期: 2018-10-28 出版日期: 2019-07-09
ZTFLH:  TP79  
基金资助: 国家自然科学基金项目“城市微热环境高分辨率遥感参数确定与热分布模拟模型研究”(41771446)和中央高校基本科研业务费项目“流—固耦合支持下的高分辨率遥感城市微热环境模拟研究”(2018B18414)资助。
作者简介: 田慧慧(1995-),女,河南周口人,硕士研究生,主要从事城市遥感研究。Email:1647078151@qq.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

田慧慧, 冯 莉, 赵璊璊, 郭 松, 董继伟. 无人机热红外城市地表温度精细特征研究 [J]. 遥感技术与应用, 2019, 34(3): 553-563.

Tian Huihui, Feng Li, Zhao Menmen, Guo Song, Dong Jiwei. Analysis of Meticulous Features of Urban Surface Temperature based on UAV Thermal Thermography. Remote Sensing Technology and Application, 2019, 34(3): 553-563.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.3.0553        http://www.rsta.ac.cn/CN/Y2019/V34/I3/553

[1] 肖林 车涛 戴礼云. 多源雪深数据在中国的空间特征评估[J]. 遥感技术与应用, 0, (): 0-0.
[2] 郭健, 刘良云, 刘新杰, 胡姣婵, 竞霞. 基于查找表的塔基平台O2-A波段大气校正方法研究[J]. 遥感技术与应用, 2019, 34(3): 467-475.
[3] 刘鸥阳, 刘良云, 胡姣婵, 刘新杰, 蒋金豹. 基于719 nm水汽吸收波段的日光诱导叶绿素荧光反演研究[J]. 遥感技术与应用, 2019, 34(3): 500-510.
[4] 陈思媛, 竞霞, 董莹莹, 刘良云. 基于日光诱导叶绿素荧光与反射率光谱的小麦条锈病探测研究[J]. 遥感技术与应用, 2019, 34(3): 511-520.
[5] 林中立, 徐涵秋. 近20年来新旧“火炉城市”热岛状况对比研究[J]. 遥感技术与应用, 2019, 34(3): 521-530.
[6] 程志峰, 何祺胜. 基于RSEI的苏锡常城市群生态环境遥感评价[J]. 遥感技术与应用, 2019, 34(3): 531-539.
[7] 李琼琼, 柳云龙. 城市居民区土壤重金属含量高光谱反演研究[J]. 遥感技术与应用, 2019, 34(3): 540-546.
[8] 宋明辉. 基于高分二号数据的面向对象城市土地利用分类研究[J]. 遥感技术与应用, 2019, 34(3): 547-552.
[9] 梁丽娟, 黄万里张容焱, 林广发, 彭俊超, 梁春阳. Sentinel-2卫星影像融合方法与质量评价分析[J]. 遥感技术与应用, 2019, 34(3): 612-621.
[10] 张海涛, 金燕, 刘万军. 基于Marr小波改进的SIFT算法的遥感影像配准[J]. 遥感技术与应用, 2019, 34(3): 622-629.
[11] 卢静, 贾立, 郑超磊, 胡光成. 遥感水分收支对区域水资源估算潜能[J]. 遥感技术与应用, 2019, 34(3): 630-638.
[12] 李靖, 李浩, 王树东, 杨莹莹, 吴太夏. 中亚五国主要湖泊水面变化特征及关键影响因素分析[J]. 遥感技术与应用, 2019, 34(3): 639-646.
[13] 徐梦竹, 徐佳, 邓鸿儒, 袁春琦. 基于全极化SAR影像的海岛地物分类[J]. 遥感技术与应用, 2019, 34(3): 647-654.
[14] 许文鑫, 周玉科, 梁娟珠. 基于变化点的青藏高原植被时空动态变化研究 [J]. 遥感技术与应用, 2019, 34(3): 667-676.
[15] 徐凡, 张雪红, 石玉立. 基于激光雷达和航拍影像的城市地物分类研究[J]. 遥感技术与应用, 2019, 34(2): 253-262.