基于多源数据的水稻种植面积提取  

Extraction of Paddy Planting Area Based on Multi-source Remote Sensing Data

作　　者：陈树辉[1] 李杨[2] 曾凡君[1,2] 薛春燕[2] 刘翔[1] 

机构地区：[1]北京东方泰坦科技股份有限公司,北京100083 [2]南京林业大学森林资源与环境学院,江苏南京210037

出　　处：《安徽农业科学》2011年第12期7442-7444,共3页Journal of Anhui Agricultural Sciences

基　　金：国家"863"计划地球观测与导航技术领域国家统计遥感业务系统关键技术研究与应用专题项目(2006AA120107)

摘　　要：引入水稻关键期提取和变化向量分析方法,以江苏省海安县水稻为研究对象,以MODIS数据和环境小卫星数据为主要数据源,分析了2009年水稻物候期内的规律,并根据该指示选择合适的中分辨率数据进行变化向量分析。研究表明,该方法可以有效地反映耕地地块内水稻像元的变化规律,且基于物候关键期内的时相选择可以提高水稻种植面积识别精度。Introducing analysis method of paddy extraction in critical growth period and variation vectors,with paddy in Haian County of Jiangsu Province as the study subject,taking MODIS data and environment small satellite data as main data source,the law of paddy phenophase period in 2009 was analyzed,and based on these,some appropriate medium resolution data were selected to carry out change vector analysis.The results showed that the method can effectively reflect the change law of paddy pixel,and choosing the time phase based on the analysis of critical phenophase is able to improve the accuracy of extracting the planting area of rice.

关 键 词：水稻面积 遥感 物候关键期 耕地地块 变化检测 TITANImage 

分 类 号：S127[农业科学—农业基础科学]