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http://dx.doi.org/10.7780/kjrs.2009.25.5.411

Extraction of Agricultural Land Use and Crop Growth Information using KOMPSAT-3 Resolution Satellite Image  

Lee, Mi-Seon (Department of Rural Engineering, Konkuk University)
Kim, Seong-Joon (Department of Civil & Environmental Systems Engineering, Konkuk University)
Shin, Hyoung-Sub (Department of Agricultural & Rural Eng., Chungbuk National University)
Park, Jin-Ki (Department of Agricultural & Rural Eng., Chungbuk National University)
Park, Jong-Hwa (Department of Agricultural & Rural Eng., Chungbuk National University)
Publication Information
Korean Journal of Remote Sensing / v.25, no.5, 2009 , pp. 411-421 More about this Journal
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-2 satellite images (May 25 of 2001, December 25 of 2001, and October 23 of 2003), QuickBird-2 satellite images (May 1 of 2006 and November 17 of 2004) and KOMPSAT-2 satellite image (September 17 of 2007) which resemble with the spatial resolution and spectral characteristics of KOMPSAT-3 were used. 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 crop growth 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 was developed using the ERDAS IMAGINE Spatial Modeler Tool.
Keywords
High resolution satellite images; Precise agricultural land use; crop growth information; IKONOS-2; QuickBird-2;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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