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Compute remote sensing reflectance


    newhcube = rrs(hcube) computes remote sensing reflectance (RRS) values. The remote sensing reflectance values are the atmospherically corrected values. The function first computes the water leaving radiance and then, estimates RRS as the ratio of water leaving radiance to solar irradiance at the top of the atmosphere (TOA).

    The pixels values of the data cube must be TOA radiance values. If the values are digital numbers, use the dn2radiance function to compute the TOA radiance values. This method gives best results for multispectral data.


    [newhcube,mask] = rrs(hcube) also returns a region mask indicating the clear water regions in the input satellite data.


    This function requires the Image Processing Toolbox™ Hyperspectral Imaging Library. You can install the Image Processing Toolbox Hyperspectral Imaging Library from Add-On Explorer. For more information about installing add-ons, see Get and Manage Add-Ons.


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    Read multispectral data into the workspace.

    hcube = hypercube('LC08_L1TP_097070_20201101_20201101_01_cropped.dat');

    Convert the pixel values from digital numbers to top of atmosphere (TOA) radiances.

    hcube = dn2radiance(hcube);

    Estimate remotely sensed water reflectance using the clear-water pixels approach.

    [newhcube,mask] = rrs(hcube);

    Estimate RGB images of the input and the atmospherically corrected output data.

    imgIn = colorize(hcube,'Method','rgb');
    imgOut = colorize(newhcube,'Method','rgb');

    Display the RGB images of the input and the atmospherically corrected output data. Also, display the clear-water pixel region mask used for computing the correction parameters.

    montage({imgIn;imgOut;mask},'Size',[1 3])
    title('Input Data | Atmospherically Corrected Output | Region Mask')

    Input Arguments

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    Input satellite data, specified as a hypercube object. The functions reads the data cube from the DataCube property of the object.

    Output Arguments

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    Atmospherically corrected data, returned as a hypercube object.

    Region mask indicating clear water regions, returned as a matrix. The mask is a binary image of spatial dimension same as that of the input data cube.


    [1] Wang, Deyu, Xuezhi Feng, Ronghua Ma, and Guoding Kang. “A Method for Retrieving Water-Leaving Radiance from Landsat TM Image in Taihu Lake, East China.” Chinese Geographical Science 17, no. 4 (December 2007): 364–69.

    Introduced in R2020b