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http://dx.doi.org/10.7780/kjrs.2004.20.4.253

Standardizing Agriculture-related Land Cover Classification Scheme using IKONOS Satellite Imagery  

Hong Seong-Min (건국대학교 대학원 지역건설환경공학과)
Jung In-Kyun (건국대학교 대학원 지역건설환경공학과)
Kim Seong-Joon (건국대학교 사회환경시스템공학과)
Publication Information
Korean Journal of Remote Sensing / v.20, no.4, 2004 , pp. 253-259 More about this Journal
Abstract
The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat + ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by National Geographic Information based on aerial photograph and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The classification result by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.
Keywords
Land Cover Classification System; Agriculture; RS Imagery;
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