Recovering surface temperature and emissivity from thermal infrared multispectral data

被引:126
|
作者
Schmugge, T
Hook, SJ
Coll, C
机构
[1] USDA ARS, BARC W, Hydrol Lab, Beltsville, MD 20705 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA USA
[3] Univ Valencia, Fac Phys, Dept Thermodynam, Valencia, Spain
关键词
D O I
10.1016/S0034-4257(98)00023-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In 1992 Thermal Infrared Multispectral Scanner (TIMS) data were acquired front the NASA C-130 aircraft over the Sahelian region of West Africa as part of the Hydrological and Atmospheric Pilot Experiment in the Sahel (HAPEX). TIMS measures the radiation front the surface modified by the atmosphere in six channels located be between 8 min and 12.5 mu m in the thermal infrared. By using a variety of techniques it is possible to extract both the surface temperature and surface emissivity front the areas over which TIMS data were acquired. One such technique was tested with the data aquired during this experiment. Several TIMS images of both the east and Ic;est central sites on 2 and 4 September were processed, mid the spectral behaviors of different land cover types were determined. These included tiger bush, millet, and fallow grassland sites. There was a 5-10 K difference ii the brightness temperature over the six channels Ir;hen significant bare soil was visible. Channels 1-3 (8.2-9.4 mu m) were cooler than the longer wavelength channels (9.6-12.5 mu m), which is characteristic of soils rich in quartz. These differences in brightness were converted to emissivity differences using the max-milt difference (MMD) method. This method relies on an empirical relationship observed between the range of emissivities and the minimum value for the six TIMS channels. The MMD method was applied iteratively to several entire sce,zes for the east central site on the two days with the interesting results that Channel 5 showed very little spatial variation in emissivity and the short wavelength channels observed substantial regions with emissivities of about 0.8 or le.ss. There is excellent reproducibility when the same area is seen in different lines on the same day. However, there are differences when the same area is seen on the two days especially for the low; emissivity values. Some of these differences may be due to soil moisture differences 2-3%, which were observed for the two days. The observed surface temperatures were in good agreement with other measures, for example, vegetation temperatures agreed well with the measured air temperatures. Published by Elsevier Science Inc.
引用
收藏
页码:121 / 131
页数:11
相关论文
共 50 条
  • [31] Temperature and Emissivity Retrieval From Hyperspectral Thermal Infrared Data Using Dictionary-Based Sparse Representation for Emissivity
    Ma, Chenyang
    Qian, Yonggang
    Li, Kun
    Dou, Xianhui
    Shen, Huanfeng
    Tang, Hongzhao
    Qiu, Shi
    Zhang, Lihua
    Jia, Yuanyuan
    Ou-Yang, Guangzhou
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [32] SURFACE EMITTANCE, TEMPERATURE, AND THERMAL INERTIA DERIVED FROM THERMAL INFRARED MULTISPECTRAL SCANNER (TIMS) DATA FOR DEATH-VALLEY, CALIFORNIA
    KAHLE, AB
    GEOPHYSICS, 1987, 52 (07) : 858 - 874
  • [33] RECOVERING SPECTRAL EMISSIVITY WITH ASTER-THERMAL DATA FROM TENERIFE ISLAND
    Barreto, A.
    Arbelo, M.
    Nunez-Casillas, L.
    Hernandez-Leal, P.
    Gonzalez-Calvo, A.
    Alonso-Benito, A.
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 1439 - 1442
  • [34] Evaluation of different methods for extracting relative spectral emissivity information from simulated thermal infrared multispectral scanner data
    Li, ZL
    Becker, F
    Stoll, MP
    Wan, ZM
    REMOTE SENSING OF ENVIRONMENT, 1999, 69 (02) : 122 - 138
  • [35] Land Surface Temperature and Emissivity Retrieval from Field-Measured Hyperspectral Thermal Infrared Data Using Wavelet Transform
    Zhang, Yu-Ze
    Wu, Hua
    Jiang, Xiao-Guang
    Jiang, Ya-Zhen
    Liu, Zhao-Xia
    Nerry, Franoise
    REMOTE SENSING, 2017, 9 (05)
  • [36] Extending surface temperature and emissivity retrieval to the mid-infrared (3-5 μm) using the Multispectral Thermal Imager (MTI)
    Mushkin, A
    Balick, LK
    Gillespie, AR
    REMOTE SENSING OF ENVIRONMENT, 2005, 98 (2-3) : 141 - 151
  • [37] Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared data
    Ni, Li
    Wu, Hua
    Zhang, Bing
    Zhang, Wenjuan
    Gao, Lianru
    2015 7TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2015,
  • [38] A method for monitoring the temporal variation of surface spectral emissivity: Application to thermal infrared multispectral scanner (TIMS) data in HAPEX-Sahel
    Li, ZL
    Becker, F
    Stoll, MP
    Wan, ZM
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D24) : 31217 - 31224
  • [39] A water vapor scaling model for improved land surface temperature and emissivity separation of MODIS thermal infrared data
    Malakar, Nabin K.
    Hulley, Glynn C.
    REMOTE SENSING OF ENVIRONMENT, 2016, 182 : 252 - 264
  • [40] EFFECT OF ATMOSPHERIC ABSORPTION AND SURFACE EMISSIVITY ON THE DETERMINATION OF LAND-SURFACE TEMPERATURE FROM INFRARED SATELLITE DATA
    OTTLE, C
    STOLL, M
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (10) : 2025 - 2037