Angular effect of MODIS emissivity products and its application to the split-window algorithm

被引:71
|
作者
Ren, Huazhong [1 ]
Yan, Guangjian [1 ]
Chen, Ling [1 ]
Li, Zhaoliang [1 ,2 ]
机构
[1] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Sch Geog, Beijing 100875, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
关键词
MODIS emissivity; Angular effects; Split-window algorithm; LAND-SURFACE EMISSIVITY; CANOPY DIRECTIONAL EMISSIVITY; SCANNER DATA; TEMPERATURE; RETRIEVAL; MODEL; VALIDATION; REFLECTANCE; SEPARATION; RADIANCE;
D O I
10.1016/j.isprsjprs.2011.02.008
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The angular effects of emissivity are ignored in current land surface temperature (LST) products. As a result, the directionality of these LST products limits their further application in many fields. Accurate correction of the angular problem of LST products requires explicit understanding of the angular effects of emissivity at the pixel scale. Currently, nearly ten years of global emissivity products of MODIS are available. However, the pixel-scale directionality of emissivity has never been analyzed. By performing a statistical analysis of 5-year MODIS emissivity products over most of East Asia, we generated the empirical relationships between the directional emissivity, land cover, and seasonal variations. Two look-up tables (LUTs) of directional emissivity were created for typical land cover types and applied to the generalized split-window algorithm to modify the MODIS LST. The results showed that the angular effect of emissivity could introduce a significant bias of -1-3 K to the 1 km resolution LST. Finally, the spatial scale effects of emissivity were analyzed, and it was found that the temperature differences caused by scale effects fell within +/-0.5 K for most pixels if 5 km emissivity was used in 1 km LST retrieval. Therefore, wide use of the LUTs can be expected. (C) 2011 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:498 / 507
页数:10
相关论文
共 50 条
  • [21] A Split-Window Model for Deriving Total Suspended Sediment Matter From MODIS Data in the Bohai Sea
    Chen, Jun
    Cui, Tingwei
    Qiu, Zhongfeng
    Lin, Changsong
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (06) : 2611 - 2618
  • [22] An operative Land Surface Temperature split-window algorithm: Application to the Korean Peninsula Pathfinder AVHRR land data
    Chahboun, A
    Raissouni, N
    Sobrino, JA
    Essaaidi, M
    [J]. IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 2452 - 2455
  • [23] VICARIOUS CALIBRATION OF LANDSAT-8 THERMAL DATA COLLECTIONS AND ITS INFLUENCE ON SPLIT-WINDOW ALGORITHM VALIDATION
    Skokovic, D.
    Sobrino, J. A.
    Jimenez, J. C.
    Soria, G.
    Julien, Y.
    Gomis-Cebolla, J.
    Garcia-Monteiro, S.
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 4312 - 4315
  • [24] A generalized split-window algorithm for retrieving land-surface temperature from space
    Wan, ZM
    Dozier, J
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (04): : 892 - 905
  • [25] Improvement for split-window algorithm and influence analysis of water vapor content for retrieval accuracy
    Hulumber Grassland Ecosystem Observation and Research Station, Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA/Institute of Agricultural Resources and Regional Planning, 12 South Street, Haidian District, Beijing 100081, China
    不详
    不详
    [J]. Geomatics Inf. Sci. Wuhan Univ., 2008, 2 (116-119):
  • [26] An angular-dependent split-window equation for SST retrieval from off-nadir observations
    Niclos, Raquel
    Coll, Cesar
    Caselles, Vicente
    Estrela, Maria J.
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 921 - 924
  • [27] Towards LST split-window algorithm FPGA implementation for CubeSats on-board computations purposes
    Raissouni, N.
    El Adib, S.
    Sobrino, J. A.
    Ben Achhab, N.
    Chahboun, A.
    Azyat, A.
    Lahraoua, M.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 40 (5-6) : 2435 - 2450
  • [28] Land Surface Temperature Retrieval Based on Thermal Infrared Channel Decomposed Split-Window Algorithm
    Ye, Xin
    Ren, Huazhong
    Zhu, Jinshun
    Zeng, Hui
    Wang, Baozhen
    Huang, He
    Fan, Wenjie
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 4971 - 4979
  • [29] ANALYZING OF THE INFLUENCE OF ATMOSPHERIC WATER VAPOR CONTENT ON COEFFICIENTS DETERMINATION IN THE GENERALIZED SPLIT-WINDOW ALGORITHM
    Wang, Chunlei
    Tang, Bo-Hui
    Wu, Hua
    Tang, Ronglin
    Zhao, Wei
    Li, Zhao-Liang
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 3119 - 3122
  • [30] Optimization of the Local Split-Window Algorithm for FY-4A Land Surface Temperature Retrieval
    Wang, Lijuan
    Guo, Ni
    Wang, Wei
    Zuo, Hongchao
    [J]. REMOTE SENSING, 2019, 11 (17)