您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Progress in Retrieving Land Surface Temperature for the Cloud-Covered Pixels from Thermal Infrared Remote Sensing Data

文献类型： 外文期刊

作者： Zhou Yi 1 ; Qin Zhi-hao 1 ; Bao Gang 1 ;

作者机构： 1.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210093, Jiangsu, Peoples R China

2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

3.Inner Mongolia Normal Univ, Inner Mongolian Key Lab Remote Sensing & Geog Inf, Hohhot 010022, Peoples R China

关键词： Cloud cover;Land surface temperature (LST);TIR;Remote sensing retrieval

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 2 期

页码：

收录情况： SCI

摘要： Land surface temperature (LST), which reflects surface properties, is one of the key parameters in the physics of land surface processes from local through global scales. LST is very required in time and space for a wide variety of scientific studies and thermal infrared (TIR) remote sensing applications. Satellite TIR channels are very available for LST retrieval but only in clear skies. However, when the surface is obscured by clouds, the actual retrieved LST for the corresponding pixel is, or is contaminated by, the cloud top temperature. Lacking understanding of the complex relationships between clouds and LST, the estimation of LST for cloud-covered pixels poses a big problem and challenge for thermal remote sensing scientists. In the present paper, a review of algorithms and approaches related to LST retrieval for cloud-covered pixels from TIR data is presented, and the characteristics of each method are also discussed. Directions for future research to improve the accuracy of satellite-derived LST for cloud-covered pixels are then suggested.

  • 相关文献

[1]Isolation, characterization and phylogenetic analysis of the resistance gene analogues (RGAs) in banana (Musa spp.). Pei, Xinwu,Li, Shengjun,Jiang, Ying,Zhang, Yongqiang,Wang, Zhixing,Jia, Shirong.

[2]A Neural Network Technique for Separating Land Surface Emissivity and Temperature From ASTER Imagery. Mao, Kebiao,Tang, Huajun,Shi, Jiancheng,Wang, Xlufeng,Chen, Kun-Shan.

[3]Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River. Song, Xiaoning,Chuan, Sun,Wang, Yawei,Peng, Jian,Loew, Alexander,Tang, Bohui,Leng, Pei. 2017

[4]Spatiotemporal Reconstruction of Land Surface Temperature Derived From FengYun Geostationary Satellite Data. Liu, Zihan,Wu, Penghai,Ma, Xiaoshuang,Wu, Yanlan,Liu, Zihan,Liu, Zihan,Zhan, Wenfeng,Duan, Sibo,Wu, Yanlan. 2017

[5]Retrieving spatial-temporal variation of land surface temperature in Tibetan Plateau for the years 2005-2006 from MODIS satellite data. Maofang Gao,Zhihao Qin,Jianjun Qiu,Sanchao Liu,Bin Xu,Wenjuan Li,Xiuchun Yang. 2008

[6]DERIVATION OF NEW SPLIT WINDOW ALGORITHM FOR RETRIEVING LAND SURFACE TEMPERATURE FROM FY-3/VIRR DATA. Yuanyuan Chen,Si-Bo Duan,Zhao Wei,Zhao-Liang Li. 2015

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台