DEVELOPMENT OF SPATIAL DATABASE FOR LAND USE CLASSIFICATION FROM SMMS DATA IN THE EASTERN REGION OF THAILAND

Abstract

This applied research is a mixed-method research employing both the quantitative and qualitative methods to create innovations. The research process started with investigation of the satellite data of four bands from SMMS (Small Multi-Mission Satellite). Each band was analyzed to develop spatial database for land use classification in the Eastern Region of Thailand. The four bands consisted of Band 1, Band 2, Band 3, and Band 4. Then, the satellite data were three-layered overlaid in non-repeated arrangements. Any band showing grayscale would have been substituted by 3 additive primary colors which were 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 was later analyzed in order to create the land use indices. The visual interpretation and the 3 levels of land use classification were used in this procedure. The results reveal that the land uses can be classified into 17 indices: cityand commercial area, Industrial area, airport, harbor, golf course, paddy field, field crops, perennial trees, aquacultural land, shrimp farm, evergreen forest, deciduous forest, mangrove forest, marine area, river and canal, reservoir, and roads.