仲波等:Land cover mapping using time series HJ-1/CCD data
被阅读 1377 次
2014-09-19

Land cover mapping using time series HJ-1/CCD data
作者:Zhong, B (Zhong Bo)[ 1,2 ] ; Ma, P (Ma Peng)[ 3 ] ; Nie, AH (Nie Aihua)[ 3 ] ; Yang, AX (Yang Aixia)[ 3 ] ; Yao, YJ (Yao YanJuan)[ 4 ] ; Lu, WB (Lu Wenbo)[ 5 ] ; Zhang, H (Zhang Hang)[ 6 ] ; Liu, QH (Liu QinHuo)[ 1,2 ]
SCIENCE CHINA-EARTH SCIENCES
卷: 57  期: 8  页: 1790-1799
DOI: 10.1007/s11430-014-4877-5
出版年: AUG 2014

摘要
It is very difficult to have remote sensing data with both high spatial resolution and high temporal frequency; thus, two categories of land-use mapping methodology have been developed separately for coarser resolution and finer resolution data. The first category uses time series of data to retrieve the variation of land surface for classification, which are usually used for coarser resolution data with high temporal frequency. The second category uses fine spatial resolution data to classify different land surface. With the launch of Chinese satellite constellation HJ-1in 2008, four 30 m spatial resolution CCDs with about 360 km coverage for each one onboard two satellites made a revisit period of two days, which brought a new type of data with both high spatial resolution and high temporal frequency. Therefore, by taking the spatiotemporal advantage of HJ-1/CCD data we propose a new method for finer resolution land cover mapping using the time series HJ-1/CCD data, which can greatly improve the land cover mapping accuracy. In our two study areas, the very high resolution remote sensing data within Google Earth are used to validate the land cover mapping results, which shows a very high mapping accuracy of 95.76% and 83.78% and a high Kappa coefficient of 0.9423 and 0.8165 in the Dahuofang area of Liaoning Province and the Heiquan area of Gansu Province respectively.

通讯作者地址: Zhong, B (通讯作者)
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
[ 2 ] Beijing Normal Univ, Beijing 100101, Peoples R China
[ 3 ] Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China
[ 4 ] Minist Environm Protect, Satellite Environm Ctr, Beijing 100094, Peoples R China
[ 5 ] Southwest Jiaotong Univ, Coll Geosci & Environm Engn, Chengdu 610031, Peoples R China
[ 6 ] China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China