东北地区主要作物种植结构遥感提取及长势监测

Remote-sensing based monitoring of planting structure and growth condition of major crops in Northeast China

以中国东北地区为研究区域,探讨基于遥感影像全覆盖的大尺度作物种植结构自动提取及长势遥感监测的技术方法。通过分析东北地区春玉米、春小麦、一季稻及大豆等主要作物时序光谱特征,确定不同作物种植结构遥感提取的阈值,建立基于MODIS NDVI数据的上述4种作物种植结构提取模型,获取2009年东北地区主要作物空间种植结构格局特征。其次,基于MODIS NDVI数据,利用差值模型,通过与近5a作物长势的平均状况进行对比,分析研究东北地区2009年4种作物的长势状况。结果显示,与多年平均统计数据比较,基于遥感提取的作物种植结构信息,总体精度达到了87%以上;不同作物长势在其整个生育期内在时间和空间分布上都有较大差异。研究表明,通过MODIS数据提取不同作物种植结构及进行大尺度作物长势监测的技术和方法是可行的,研究为中国农业遥感监测系统大尺度业务化运行的作物种植结构提取提供了有效方法。

Taking the main crops in Northeast China as an example,large-scale crop planting areas automatic identification methods were researched based on time-series of MODIS NDVI Datasets in this paper.The characteristics of NDVI time series of spring wheat,spring corn,soybeans and rice in Northeast China were firstly analyzed,and then the threshold values of extracting different crops were set and the extraction models of above-mentioned four kinds of crops were established,and finally the spatial distribution of these four crops of 2009 were obtained.MODIS data of Northeast China of 2009 were used to monitor the growth condition of the four kinds of crops,and the growth condition were compared with the average crop growth of last five years.The results showed that the extraction accuracy of crops planting structure was more than 87% compared with what with years of average statistical data,and crops growth condition showed different characteristics both in spatial and temporal.Research shows that it is feasible to extract different crops planting structure and monitor crops growth condition in large scale using MODIS data,which provides effective ways for large scale crops planting structure extraction in China agriculture remote sensing monitoring system.