任华忠 研究员

北京大学地球与空间科学学院遥感与地理信息系统研究所研究员,长聘副教授,博士生导师。主要研究方向:热红外遥感,开展多源热红外遥感数据的地表温度与发射率反演方法研究、地表温度角度归一化、红外遥感影像目标识别、热异常监测等研究工作。国家自然科学基金委优秀青年基金获得者;获高校GIS创新人物奖(2022)、李小文遥感科学青年奖(2019)、北京市科技新星人才计划(2017)、科技部国家遥感中心遥感青年科技人才创新计划(2016);入选中国科学院-美国科学院空间科学新领军人物(2019);担任全球定量遥感最新进展国际会议(International Symposium on Recent Advances in Quantitative Remote Sensing)科学委员会委员、中国遥感应用...

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Urban surface-emitted longwave radiation estimation from high spatial resolution thermal infrared images using a hybrid method

发布时间: 2024-10-01 点击次数:

  • 影响因子:11.1
  • DOI码:10.1016/j.rse.2024.114442
  • 发表刊物:Remote Sensing of Environment
  • 关键字:Urban surface-emitted longwave radiation, Urban-oriented hybrid (UoHy) method, High spatial resolution image, Thermal infrared
  • 摘要:Accurate estimation of the surface-emitted longwave radiation (SELR) has important scientific value in understanding its spatiotemporal dynamics and surface thermal environment. Thermal infrared (TIR) images with high spatial resolution offer enhanced data support for studying SELR of complex surfaces, such as urban surface. This study proposes a new urban-oriented hybrid (UoHy) method, which considers multiple scattering and adjacent effects of urban pixel using the term sky view factor, to estimate urban SELR from the top-of-atmosphere radiance of TIR images with high spatial resolution, and performs sensitivity analysis and application. The experimental results for the thermal images of GF-5/VIMS as an example showed that the UoHy method has relatively high accuracy, and obtains SELR errors of less than 12.0 W/m2 under low atmospheric water vapor conditions and less than 17.0 W/m2 under high atmospheric water vapor conditions. The application of the method during daytime and nighttime also demonstrated the method’s validity and effectiveness. Compared with the natural surface-oriented hybrid method, the UoHy method obtains an improvement of about 7.0–10.0 W/m2 in SELR estimation, which indicates that it has the potential for practical SELR estimation over urban surface with TIR images of high spatial resolution.
  • 论文类型:期刊论文
  • 论文编号:114442
  • 学科门类:理学
  • 一级学科:地理学
  • 文献类型:J
  • 卷号:315
  • 是否译文:
  • 收录刊物:SCI
  • 发布期刊链接:https://www.sciencedirect.com/science/article/pii/S0034425724004681?via%3Dihub
  • 第一作者:Songyi Lin
  • 通讯作者:Huazhong Ren
  • 全部作者:Rongyuan Liu,Jinxiang Lin,Shanshan Chen,Yuanjian Teng,Wenjie Fan,Baozhen Wang,Yu Liu
  • 发表时间:2024-09-21