LANDSCAPE MOSAIC ANALYSIS

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INPUT FILE
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Input image: {input_file}
EPSG: {epsg_code}
Unit: {unit_type}
Pixel size (x,y): {resolx}, {resoly} {unit_type}
Rows: {rows_val}
Columns: {cols_val}
Total pixels: {tot_pxl}
Class 1 [pixel=1]: {class1_pxl}
Class 2 [pixel=2]: {class2_pxl}
Class 3 [pixel=3]: {class3_pxl}
Missing/Nodata [pixel=0]: {miss_pxl}
Foreground: {foregr_pxl}

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PARAMETRES
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Window size: {w_size}
Color scheme: {out_cmap}
Window area - observation scale (if unit is in metres):
    {window_areaHA} hectares 
    {window_areaAC} acres

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RESULTS
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Output image: {output_file}

Landcover assignment to tri-polar classes
    Class 1 = Agriculture (Blue)
    Class 2 = Natural     (Green)
    Class 3 = Developed   (Red)

Frequency of the 19 aggregated classes in Foreground:
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    N    CODE  AGR[%]    NAT[%]    DEV[%]    FREQ.[%]
    1    A     [80-100[  [0-10[    [0-10[    {A_val}
    2    D     [0-10[    [0-10[    [80-100[  {D_val}
    3    N     [0-10[    [80-100[  [0-10[    {N_val}
    4    Ad    [60-90[   [0-10[    [10-60[   {Ad_val}
    5    An    [60-90[   [10-40[   [0-10[    {An_val}
    6    Dn    [0-10[    [10-40[   [60-90[   {Dn_val}
    7    Da    [10-40[   [0-10[    [60-90[   {Da_val}
    8    Na    [10-40[   [60-90[   [0-10[    {Na_val}
    9    Nd    [0-10[    [60-90[   [10-40[   {Nd_val}
    10   Adn   [60-80[   [10-40[   [10-40[   {Adn_val}
    11   Dan   [10-40[   [10-40[   [60-80[   {Dan_val}
    12   Nad   [10-40[   [60-80[   [10-40[   {Nad_val}
    13   ad    [30-60[   [0-10[    [30-60[   {ad_val}
    14   an    [30-60[   [30-60[   [0-10[    {an_val}
    15   dn    [0-10[    [30-60[   [30-60[   {dn_val}
    16   adn   [10-60[   [10-60[   [10-60[   {adn_val}
    17   NN    [0]       [100]     [0]       {NN_val}
    18   AA    [100]     [0]       [0]       {AA_val}
    19   DD    [0]       [0]       [100]     {DD_val}


Computational time: 

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Online guide:
https://ies-ows.jrc.ec.europa.eu/gtb/GTB/psheets/GTB-Pattern-LM.pdf