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12 October 2011 A comparative study of relationship to solar radiation and extraction of vegetation: using Kompsat-2 and IKONOS image
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A satellite image, which periodically records the spectroscopic characteristics of objects, is used to calculate the index of vegetation.. However, it can have different results according to sensor correction, the state of atmosphere, geometric relations between the sun, sensor and object, and a diversity of other factors. So although it is a picture of the same area, if it was taken at a different time, it is difficult to expect the same value of lightness. This paper converses DN values of KOMPSAT-2 and IKONOS, satellites with high resolution, into Reflectence value and then calculates NDVI and TCTGVI. It uses the calculated index of vegetation and classifies between vegetation areas and non-vegetation areas to conduct a comparative analysis of the rate of concordance. And it calculates the solar radiant quantities to conduct a comparison of correlations with the areas where vegetation is wrongly classified. The analysis reveals that the rate of concordance in the areas of vegetation is high: NDVI 85%, GVI 85.35%. It shows a similar rate of concordance in NDVI and GVI. And the solar radiant quantities on average in all the researched areas are large: KOMPSAT-2 207.5w/m2 and IKONOS 668.4w/m2 those in the wrongly classified areas are small: KOMPSAT-2 128.2w/m2 and IKONOS 553.7w/m2. The reason that the wrongly classified areas have small solar radiant quantities is that they have a shadowed part influenced by its topography, it is judged. In particular, in the winter, when the solar radiant quantities are comparatively small, KOMPSAT-2 has difficulty collecting vegetation, not more than 128.175 w/m2, which means, it is judged, that it is impossible to normally detect the Red band and the NIR band which are used for calculating the index of vegetation from a satellite.
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Ho Yong Ahn, So Young Park, and Chul Uong Choi "A comparative study of relationship to solar radiation and extraction of vegetation: using Kompsat-2 and IKONOS image", Proc. SPIE 8176, Sensors, Systems, and Next-Generation Satellites XV, 81762A (12 October 2011);

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