基于时序植被指数特征时相识别的多熟制耕地提取新方法  

A New Methodology for Extracting Multiple Cropping Land based on Distinguishing Characteristic Phases of Time Series Vegetation Index

作　　者：高应波[1,2] 柳钦火[1] 李静 杨乐[1] 

机构地区：[1]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101 [2]中国科学院大学,北京100049

出　　处：《遥感技术与应用》2015年第3期431-438,共8页Remote Sensing Technology and Application

基　　金：国家863计划(SS2012AA120904);中国科学院西部行动计划项目(KZCX2-XB3-05)

摘　　要：多熟种植是农业生产活动中一种重要的耕作方式,了解耕地的熟制特征,对粮食安全、土地资源管理及农业生态系统的物质循环和能量平衡具有重要意义。通过分析农作物生长发育规律与时间序列植被指数的对应关系,采用时间序列曲线谷值和峰值组成的特征时相集合描述作物生长过程,从而采用排序形态学滤波方法提取熟制信息。选取华北平原多熟制农业区为实验区,采用窗口值为13的结构元素进行排序滤波操作,并利用多时相环境星数据提取的30m分辨率熟制信息验证MODIS结果。实验结果表明:该方法能有效提取熟制信息,总体精度达88.11%,Kappa系数0.765。该方法只需设定合理结构元素窗口值即可提取多熟制耕地区域,利于大范围推广应用。Multiple cropping is an important cultivated pattern of agricultural activities.Information related to cropping intensity of croplands is critical for food security,management of land resources,biogeochemical cycling and energy balance of agro-ecosystems.Through analyzing the relationship between crop phonological metrics and time series vegetation index curve,this paper use the assembly of characteristic phases,which is composed by though and peak values of time series VI curve,to describe the crop growing processes,then extract the cropping intensity based on rank order morphological filter.We tested the proposed method in double-cropping region of north china plain,with a window's size of 13 as structuring element to filter the EVI time series data.The MODIS-derived multiple cropping land information were validated with 30 meter resolution referenced multi-temporal HJ data.The results indicated that the method can effectively extracted the cropping intensity with overall accuracy of 88.11%and Kappa coefficient of 0.765,which is favorable to extract the cropping intenstiy by setting a suitable structuring element window's size in a wide range.

关 键 词：多熟种植 排序形态学滤波 EVI时间序列 MODIS 环境星 

分 类 号：S344[农业科学—作物栽培与耕作技术]