Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2008.10a
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  • Pages.147-150
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  • 2008
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

SEMI-AUTOMATIC EXTRACTION OF AGRICULTURAL LAND USE AND VEGETATION INFORMATION USING HIGH RESOLUTION SATELLITE IMAGES

  • Lee, Mi-Seon (Dept. of Rural Engineering, Konkuk University) ;
  • Kim, Seong-Joon (Dept. of Civil and Environmental System Engineering, Konkuk University) ;
  • Shin, Hyoung-Sub (Dept. of Agricultural & Rural Engineering, Chungbuk National University) ;
  • Park, Jong-Hwa (Dept. of Agricultural & Rural Engineering, Chungbuk National University)
  • Published : 2008.10.29
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Abstract

This study refers to develop a semi-automatic extraction of agricultural land use and vegetation information using high resolution satellite images. Data of IKONOS satellite image (May 25 of 2001) and QuickBird satellite image (May 1 of 2006) which resembles with the spatial resolution and spectral characteristics of KOMPSAT3. The precise agricultural land use classification was tried using ISODATA unsupervised classification technique and the result was compared with on-screen digitizing land use accompanying with field investigation. For the extraction of vegetation information, three crops of paddy, com and red pepper were selected and the spectral characteristics were collected during each growing period using ground spectroradiometer. The vegetation indices viz. RVI, NDVI, ARVI, and SAVI for the crops were evaluated. The evaluation process is under development using the ERDAS IMAGINE Spatial Modeler Tool.

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