INFLUENCES OF GROUND STRUCTURE ON REMOTELY SENSED LAND SURFACE TEMPERATURE

被引:0
|
作者
Peng, Zhixing [1 ]
Zhou, Ji [1 ]
Liu, Shaomin [2 ]
Li, Mingsong [1 ]
Zhu, Linqing [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China
[2] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
land surface temperature (LST); modified geometric project model (MGP); ground structure; remote sensing; VALIDATION;
D O I
10.1109/IGARSS.2016.7729349
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Remotely sensed land surface temperature (LST) is influenced by the viewing angles and ground structure. By selecting a sparsely vegetated surface as the study area, the effects of structural parameters of land surface on remotely sensed LST are analyzed in this paper. Results demonstrate that both the density of canopy and size of canopy have significant influences on the remote sensing observations of LST. The difference between the LSTs obtained at nadir and off-nadir views also varies according to the acquisition season. This work is expected to be beneficial for quality control of remotely sensed LST.
引用
收藏
页码:1368 / 1371
页数:4
相关论文
共 50 条
  • [1] An assessment of remotely sensed land surface temperature
    Trigo, Isabel F.
    Monteiro, Isabel T.
    Olesen, Folke
    Kabsch, Ewa
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113 (D17)
  • [2] DOWNSCALING RESEARCH OF REMOTELY SENSED LAND SURFACE TEMPERATURE
    Wang, Zihao
    Sun, Yuanheng
    Ren, Huazhong
    Qin, Qiming
    Han, Guhuai
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 6293 - 6296
  • [3] Disaggregation of Remotely Sensed Land Surface Temperature: A Generalized Paradigm
    Chen, Yunhao
    Zhan, Wenfeng
    Quan, Jinling
    Zhou, Ji
    Zhu, Xiaolin
    Sun, Hao
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (09): : 5952 - 5965
  • [4] Modelling directional effects on remotely sensed land surface temperature
    Ermida, Sofia L.
    DaCamara, Carlos C.
    Trigo, Isabel F.
    Pires, Ana C.
    Ghent, Darren
    Remedios, John
    REMOTE SENSING OF ENVIRONMENT, 2017, 190 : 56 - 69
  • [5] Disaggregation of remotely sensed land surface temperature: A new dynamic methodology
    Zhan, Wenfeng
    Huang, Fan
    Quan, Jinling
    Zhu, Xiaolin
    Gao, Lun
    Zhou, Ji
    Ju, Weimin
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (18) : 10538 - 10554
  • [6] Quantification of the Scale Effect in Downscaling Remotely Sensed Land Surface Temperature
    Zhou, Ji
    Liu, Shaomin
    Li, Mingsong
    Zhan, Wenfeng
    Xu, Ziwei
    Xu, Tongren
    REMOTE SENSING, 2016, 8 (12)
  • [7] A review of spatiotemporal fusion methods for remotely sensed land surface temperature
    Li R.
    Wang M.
    Zhang Z.
    Hu T.
    Liu X.
    National Remote Sensing Bulletin, 2022, 26 (12) : 2433 - 2450
  • [8] A review on remotely sensed land surface temperature anomaly as an earthquake precursor
    Bhardwaj, Anshuman
    Singh, Shaktiman
    Sam, Lydia
    Joshi, P. K.
    Bhardwaj, Akanksha
    Martin-Torres, F. Javier
    Kumar, Rajesh
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 63 : 158 - 166
  • [9] ASSESSING THE DIRECTIONAL EFFECTS OF REMOTELY SENSED LAND SURFACE TEMPERATURE ON EVAPOTRANSPIRATION ESTIMATION
    Jiang, Yazhen
    Tang, Ronglin
    Jiang, Xiaoguang
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4558 - 4561
  • [10] Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature
    Zink, Matthias
    Mai, Juliane
    Cuntz, Matthias
    Samaniego, Luis
    WATER RESOURCES RESEARCH, 2018, 54 (04) : 2976 - 2998