Monitoring the naked croplands in Beijing with multi-temporal remote sensing images
Naked cropland elimination is an important part of Beijing Olympic ecological project.In this paper,Multi-temporal satellite data were used to monitor and position the naked croplands.Three Landsat TM images and two Beijing-1Micro-Satellite images were selected to calculate NDVI series according to crop phenological calendars and investigated information of agricultural cropping structures in Beijing suburb.Based on the phenological spectral characteristics of main agricultural land use types,a classification scheme was proposed to extract the naked croplands.Considering the structural characteristic hierarchical classification and various demands of feature selection in different periods,decision tree algorithm and a stepwise masking technology were employed to extract typical crops in each season,and hence the naked croplands were left.Accuracy assessment of the naked croplands in winter and spring were performed with comparison of the monitoring areas with statistical data.The results show that the area of the naked croplands in winter and spring was 170368.1ha in Beijing.The areas of the top five districts (Yanqing,Shunyi,Daxing,Miyun and Tongxian) were 17933.3ha,taking a percent of 69.2％ of that of Beijing.The areas of the naked cropland were 25719.6 ha,4485.4 ha and 3325 ha in summer,autumn and all the year round respectively.Experimental results demonstrated that our method would fast and simply monitor agricultural land use.
Naked cropland Multi-temporal Monitoring Crop phenological calendars Vegetation index
La Qi Wenjiang Huang Jiaogen Zhou Chunjiang Zhao
National engineering research center for information technology in agriculture,Beijing Academy of Ag National engineering research center for information technology in agriculture,Beijing Academy of Ag
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）