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...

查看更多>>

Global Lunar Christiansen Feature From LRO Diviner Radiometer Observation Data

发布时间: 2024-02-14 点击次数:

  • 影响因子:8.4
  • DOI码:10.1109/TGRS.2024.3357528
  • 发表刊物:IEEE Transactions on Geoscience and Remote Sensing
  • 关键字:Christiansen Feature; Lunar surface temperature and emissivity; Diviner; Thermal infrared; TES algorithm
  • 摘要:The lunar surface Christiansen feature (CF), known as a prominent maximum emissivity centered near 8 μm, has been widely used to identify silicate mineral types and estimate their compositions. The Diviner sensor provides global lunar surface observation at three 8-μm CF channels and thus its data have promoted the extraction and mapping of global lunar surface CF. However, the previous studies used the empirical regression (ER) algorithm to extract the CF wavelength (or called CF position) after estimating lunar surface temperature (LST) and emissivity using a three-point parabola approximation, which inevitably leads to uncertainty. The physical temperature-emissivity separation (TES) algorithm was proposed recently by the authors to retrieve lunar surface temperature and emissivity from the Diviner’s three CF channels dataset, on basis of the surface’s physical radiative transfer equation, and therefore, this algorithm provides a promising way to revise the accuracy in the extraction of CF wavelength. From this point of view, this paper firstly illustrates the difference of LST, emissivity and CF wavelength between the TES and ER algorithms, and finds that the TES algorithm got higher accuracy in extracting CF wavelength. Consequently, the global lunar CF wavelengths are extracted from Diviner dataset. Compared to the result from the ER algorithm, the CF wavelength from the TES algorithm is found to be revised in a range of −0.051 μm to 0.372 μm with a bias of 0.02 μm, and its value is generally larger than previous study, indicating that the previous CF wavelength might be underestimated.
  • 论文类型:期刊论文
  • 论文编号:5001511
  • 学科门类:理学
  • 一级学科:地理学
  • 文献类型:J
  • 卷号:62
  • 期号:5001511
  • 页面范围:1-11
  • 是否译文:
  • 收录刊物:EI、SCI
  • 发布期刊链接:https://ieeexplore.ieee.org/document/10412187
  • 第一作者:Zian Wang
  • 通讯作者:Huazhong Ren
  • 发表时间:2024-01-23