This applied research was conducted by employing both quantitative and qualitative innovative research methods. This research investigates the satellite data of four spectral bands sent from the Small Multi-Mission Satellite (SMMS). Each band was analyzed to create color composition indices of the western areas of Thailand. Band 1 had a wavelength between 0.43 and 0.52 micrometers, Band 2 between 0.52 and 0.60 micrometers, Band 3 between 0.63 and 0.69 micrometers, and Band 4 between 0.76 and 0.90 micrometers. Three layers of satellite data were overlaid in non-repeating arrangements. Bands showing grayscale were substituted by three additive primary colors of blue, green, and red. The arrangements were permutated into 24 indices: 123, 124, 132, 134, 142, 143, 213, 214, 231, 234, 241, 243, 312, 314, 321, 324, 341, 342, 412, 413, 421, 423, 431, and 432. The data of color composition indices were then analyzed to create the land-use indices. The visual interpretation of the three levels of land-use classification were used in this procedure. The result was a land-use classification with 15 indices: City, Commercial, and Services; Airport; Golf Course; Paddy Field; Field Crop; Perennial; Aquacultural Land; Shrimp Farm; Evergreen Forest; Deciduous Forest; Mangrove Forest; Marine; River; Canal; Reservoir; and Road.