NDLI: A new land cover map at 1 km resolution over Korea

Content Provider	IEEE Xplore Digital Library
Author	Youn-Young Park Kyung-Soo Han Jong-Min Yeom Chang-Suck Lee
Copyright Year	2007
Description	Author affiliation: Pukyong Nat. Univ., Busan (Youn-Young Park; Kyung-Soo Han)
Abstract	The Global Land Cover 2000 (GLC 200) project, as a most recent issue, is to provide for the year 2000 a harmonized land cover database over the whole globe. The classifications were performed according to continental or regional scales by corresponding organization using the data of VEGETATION sensor onboard the SPOT4 Satellite. Even if The Global land cover classification for Asia provided by Chiba University showed a good accuracy in whole Asian area, some problems were detected in Korean region. Therefore, the construction of new land cover database over Korea is strongly required using more recent data set. The present study focuses on the development of a new upgraded land cover map at 1 km resolution over Korea considering the widely used K-means clustering, which is one of unsupervised classification technique using distance function for land surface pattern classification, and the principal components transformation. It is based on data sets from the Earth observing system SPOT4/VEGETATION. Newly classified land cover was compared with GLC 2000 for Korean peninsula to access how well classification performed using confusion matrix.
Starting Page	3397
Ending Page	3400
File Size	447037
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Land surface Vegetation mapping Asia Information science Pattern classification Satellite broadcasting Urban areas Radiometry Geology the principal components transformation land cover K-means clustering
Content Type	Text
Resource Type	Article

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