Land cover classification using Landsat 8 Operational Land Imager data in Beijing, China
作者:Jia, K (Jia, Kun)[ 1,2 ] ; Wei, XQ (Wei, Xiangqin)[ 3 ] ; Gu, XF (Gu, Xingfa)[ 3 ] ; Yao, YJ (Yao, Yunjun)[ 1,2 ] ; Xie, XH (Xie, Xianhong)[ 1,2 ] ; Li, B (Li, Bin)[ 3 ]
GEOCARTO INTERNATIONAL
卷: 29  期: 8  页: 941-951
DOI: 10.1080/10106049.2014.894586
出版年: 2014

摘要
The successful launch of Landsat 8 provides a new data source for monitoring land cover, which has the potential to significantly improve the characterization of the earth's surface. To assess data performance, Landsat 8 Operational Land Imager (OLI) data were first compared with Landsat 7 ETM + data using texture features as the indicators. Furthermore, the OLI data were investigated for land cover classification using the maximum likelihood and support vector machine classifiers in Beijing. The results indicated that (1) the OLI data quality was slightly better than the ETM + data quality in the visible bands, especially the near-infrared band of OLI the data, which had a clear improvement; clear improvement was not founded in the shortwave-infrared bands. Moreover, (2) OLI data had a satisfactory performance in terms of land cover classification. In summary, OLI data were a reliable data source for monitoring land cover and provided the continuity in the Landsat earth observation.

通讯作者地址: Wei, XQ (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
[ 3 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China