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The Experts below are selected from a list of 81 Experts worldwide ranked by ideXlab platform

James V Taranik - One of the best experts on this subject based on the ideXlab platform.

  • quantitative estimation of granitoid composition from thermal infrared Multispectral Scanner tims data desolation wilderness northern sierra nevada california
    Journal of Geophysical Research, 1994
    Co-Authors: Charles Sabine, Vincent J Realmuto, James V Taranik
    Abstract:

    We have produced images that quantitatively depict modal and chemical parameters of granitoids using an image processing algorithm called MINMAP that fits Gaussian curves to normalized emittance spectra recovered from thermal infrared Multispectral Scanner (TIMS) radiance data. We applied the algorithm to TIMS data from the Desolation Wilderness, an extensively glaciated area near the northern end of the Sierra Nevada batholith that is underlain by Jurassic and Cretaceous plutons that range from diorite and anorthosite to leucogranite. The wavelength corresponding to the calculated emittance minimum λmin varies linearly with quartz content, SiO2, and other modal and chemical parameters. Thematic maps of quartz and silica content derived from λmin values distinguish bodies of diorite from surrounding granite, identify outcrops of anorthosite, and separate felsic, intermediate, and mafic rocks.

Chuanrong Li - One of the best experts on this subject based on the ideXlab platform.

  • land surface temperature retrieved from airborne Multispectral Scanner mid infrared and thermal infrared data
    Optics Express, 2016
    Co-Authors: Yonggang Qian, Ning Wang, Hua Wu, Bohui Tang, Lingli Tang, Chuanrong Li
    Abstract:

    Land surface temperature (LST) is one of the key parameters in the physics of land surface processes at local/global scales. In this paper, a LST retrieval method was proposed from airborne Multispectral Scanner data comparing one mid-infrared (MIR) channel and one thermal infrared (TIR) channel with the land surface emissivity given as a priori knowledge. To remove the influence of the direct solar radiance efficiently, a relationship between the direct solar radiance and water vapor content and the view zenith angle and solar zenith angle was established. Then, LST could be retrieved with a split-window algorithm from MIR/TIR data. Finally, the proposed algorithm was applied to the actual airborne flight data and validated with in situ measurements of land surface types in the Baotou site in China on 17 October 2014. The results demonstrate that the difference between the retrieved and in situ LST was less than 1.5 K. The bais, RMSE, and standard deviation of the retrieved LST were 0.156 K, 0.883 K, and 0.869 K, respectively, for samples.

Charles Sabine - One of the best experts on this subject based on the ideXlab platform.

  • quantitative estimation of granitoid composition from thermal infrared Multispectral Scanner tims data desolation wilderness northern sierra nevada california
    Journal of Geophysical Research, 1994
    Co-Authors: Charles Sabine, Vincent J Realmuto, James V Taranik
    Abstract:

    We have produced images that quantitatively depict modal and chemical parameters of granitoids using an image processing algorithm called MINMAP that fits Gaussian curves to normalized emittance spectra recovered from thermal infrared Multispectral Scanner (TIMS) radiance data. We applied the algorithm to TIMS data from the Desolation Wilderness, an extensively glaciated area near the northern end of the Sierra Nevada batholith that is underlain by Jurassic and Cretaceous plutons that range from diorite and anorthosite to leucogranite. The wavelength corresponding to the calculated emittance minimum λmin varies linearly with quartz content, SiO2, and other modal and chemical parameters. Thematic maps of quartz and silica content derived from λmin values distinguish bodies of diorite from surrounding granite, identify outcrops of anorthosite, and separate felsic, intermediate, and mafic rocks.

Yonggang Qian - One of the best experts on this subject based on the ideXlab platform.

  • land surface temperature retrieved from airborne Multispectral Scanner mid infrared and thermal infrared data
    Optics Express, 2016
    Co-Authors: Yonggang Qian, Ning Wang, Hua Wu, Bohui Tang, Lingli Tang, Chuanrong Li
    Abstract:

    Land surface temperature (LST) is one of the key parameters in the physics of land surface processes at local/global scales. In this paper, a LST retrieval method was proposed from airborne Multispectral Scanner data comparing one mid-infrared (MIR) channel and one thermal infrared (TIR) channel with the land surface emissivity given as a priori knowledge. To remove the influence of the direct solar radiance efficiently, a relationship between the direct solar radiance and water vapor content and the view zenith angle and solar zenith angle was established. Then, LST could be retrieved with a split-window algorithm from MIR/TIR data. Finally, the proposed algorithm was applied to the actual airborne flight data and validated with in situ measurements of land surface types in the Baotou site in China on 17 October 2014. The results demonstrate that the difference between the retrieved and in situ LST was less than 1.5 K. The bais, RMSE, and standard deviation of the retrieved LST were 0.156 K, 0.883 K, and 0.869 K, respectively, for samples.

Vincent J Realmuto - One of the best experts on this subject based on the ideXlab platform.

  • quantitative estimation of granitoid composition from thermal infrared Multispectral Scanner tims data desolation wilderness northern sierra nevada california
    Journal of Geophysical Research, 1994
    Co-Authors: Charles Sabine, Vincent J Realmuto, James V Taranik
    Abstract:

    We have produced images that quantitatively depict modal and chemical parameters of granitoids using an image processing algorithm called MINMAP that fits Gaussian curves to normalized emittance spectra recovered from thermal infrared Multispectral Scanner (TIMS) radiance data. We applied the algorithm to TIMS data from the Desolation Wilderness, an extensively glaciated area near the northern end of the Sierra Nevada batholith that is underlain by Jurassic and Cretaceous plutons that range from diorite and anorthosite to leucogranite. The wavelength corresponding to the calculated emittance minimum λmin varies linearly with quartz content, SiO2, and other modal and chemical parameters. Thematic maps of quartz and silica content derived from λmin values distinguish bodies of diorite from surrounding granite, identify outcrops of anorthosite, and separate felsic, intermediate, and mafic rocks.