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Recently USGS released provisional Landsat 8 Surface Reflectance product, which allows conducting land cover mapping over large\udcomposed of number of image scenes without necessity of atmospheric correction. In this study, the authors present a new concept\udfor automated classification of land cover. This concept is based on spectral patterns analysis of reflected bands and can be\udautomated using predefined classification rule set constituted of spectral pattern shape, total reflected radiance index (TRRI) and\udratios of spectral bands.\ud \udGiven a pixel vector B6 = {b1,b2,b3,b4,b5,b6} where b1, b2,...,b6 denote bands 2, 3, ...,7 of OLI sensor respectively. By using the\udpixel vector B6 we can construct spectral reflectance curve. Each spectral curve is featured by a shape, which can be described in\udsimplified form of an analogue pattern, which is consisted of 15 digits of 0, 1 and 2 showing mutual relative position of spectral\udvertices. Value of comparison between band i and j is 2 if bj > bi, 1 if bj = bi and 0 if bj < bi. Simplified spectral pattern is defined by 15\uddigits as m1,2m1,3m1,4m1,5m1,6m2,3m2,4m2,5m2,6m3,4m3,5m3,6m4,5m4,6m5,6 where mi,j is result of comparison of reflectance\udbetween bi and bj and has values of 0, 1 and 2. After construction of SSP for each pixel in the input image, the original image will be\uddecomposed to component images, which contain pixels with the same SRCS pattern. The decomposition can be written analytically\udby equation A = Σnk=1Ck where A stands for original image with 6 spectral bands, n is number of component images decomposed\udfrom A and Ck is component image. For this study, we use Landsat 8 OLI reflectance image LC81270452013352LGN00 and\udLC81270452015182LGN00. For the decomposition, we use only six reflective bands. Each land cover class is defined by SSP code,\udthreshold values for TRRI and band ratios. Automated classification of land cover was realized with 8 classes: forest, shrub, grass,\udwater, wetland, develop land, barren and others. This paper provides a preliminary research result on application of multispectral\udimage decomposition using simplified spectral pattern for classification of land cover for Hanoi area

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

AUTOMATED CLASSIFICATION OF LAND COVER USING LANDSAT 8 OLI SURFACE REFLECTANCE PRODUCT AND SPECTRAL PATTERN ANALYSIS CONCEPT - CASE STUDY IN HANOI, VIETNAM