Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Comparative Analysis of Classification Accuracy for Calculating Cropland Areas by using Satellite Images

위성영상별 경지면적 분류 정확도 비교 분석

  • Received : 2011.12.26
  • Accepted : 2012.02.27
  • Published : 2012.03.31
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Abstract

Recently many developed countries have used satellite images for classifying cropland areas to reduce time and efforts put into field survey. Korea also has used satellite images for the same purpose since KOMPSAT-2 was successfully launched and operated in 2006, but still far way to go in order to achieve the required accuracy from the products. This study evaluated the accuracy of the calculated croplands by using the objected classification method with various satellite images including ASTER, Spot-5, Rapid eye, Quickbird-2, Geo eye-1. Also, their usability and effectiveness for the cropland survey were verified by comparing with field survey data. As results. Geo eye-1 and Rapid eye showed higher accuracy to calculate the paddy field areas while Geo eye-1 and Quickbird-2 showed higher accuracy to calculate the upland field areas.

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Cited by

  1. Extraction of paddy field in Jaeryeong, North Korea by object-oriented classification with RapidEye NDVI imagery vol.56, pp.3, 2014, https://doi.org/10.5389/KSAE.2014.56.3.055