大气科学学报2012，Vol.35Issue(1)：113-120,8.
基于MODIS时序数据提取河南省水稻种植分布
Mapping rice paddy distribution in Henan Province based on multi-temporal MODIS imagery
摘要
Abstract
Multi-temporal 8-day composite MODIS Surface Reflectance Product of 2009 were used to map the distribution of rice paddy in Henan Province.By taking into consideration the characteristic of rice cultivation and the rice growth patterns,a scheme for rice mapping has been proposed.In this scheme,to reduce the influence of factors like cloud,the time series of land surface water content index（ILSW） and enhanced vegetation index（IEV） were calculated from MODIS imagery and two different filters were applied to rebuild the time series data.Then,the principal component analysis method was employed to reduce the dimensionality of the times series data,with the first three components as ILSW and IEV respectively reserved as feature bands.Another feature band is the rice similarity index,which was obtained by calculating the similarity index between a standard rice growth curve of IEV and the temporal curve of IEV for each pixel.However,there were obvious differences in rice phenology between the north and south rice planting regions in Henan Province.Based on the obtained rice GPS samples,a standard rice growth curve of IEV was established for each region.Finally,support vector machine（SVM） classification method was used to retrieve rice distribution from the feature bands.The results showed that the obtained rice distribution in Henan Province is well consistent with the real situation.Rice mainly distributed on both sides of the Yellow river in the north of Henan Province,while it distributed along the Huaihe River or around large reservoirs in the south of Henan Province.Compared with the statistical data,the rice area obtained from MODIS data bears a mean relative error of 6.56%,and a Root Mean Square Error of 5.63 khm2.Because of mixed pixels and dispersed rice distribution in some regions,the relative error can be larger than ±60%.However,the proposed rice mapping scheme based on the temporal MODIS data still shows its advantages in rice distribution mapping for large-scale areas.关键词
监督分类/多时相分析/主成份分析/水稻物候期/水稻种植分布Key words
supervised classification/multi-temporal analysis/principal component analysis/rice phenology/rice planting distribution分类
天文与地球科学引用本文复制引用
杨沈斌,景元书,王琳,王钊..基于MODIS时序数据提取河南省水稻种植分布[J].大气科学学报,2012,35(1):113-120,8.基金项目
中国气象局农业气象保障与应用技术重点开放实验室开放基金 （）
公益性行业（气象）科研专项（GYHY（QX）200906022） （）
国家自然科学基金资助项目 （）
江苏省“青蓝工程”资助项目 （）
江苏高校优势学科建设工程资助项目 （）
