中文摘要：

【目的】利用1986和1996年的十天合成NOAA-AVHRR-NDVI数据以及2000年SPOT-VEGETATION-NDVI数据对中国主要的种植制度（熟制）分布进行制图，对比二次差分法和离散傅里叶转换法对熟制信息提取的有效性；比较中国多年熟制分布图，研究中国近些年的熟制变化，同时结合气象数据，分析影响熟制变化的可能因素，为粮食产量变化及其原因分析提供理论依据。【方法】首先，利用欧空局全球陆地覆盖数据（ESA GlobCover），提取中国农业植被区域。其次，使用ENVI和ArcGIS软件，分别利用二次差分法和傅里叶变换法对1986年的植被指数数据进行农业熟制的分布提取，并以中国科学院植物研究所编著的1：400万比例尺的《中国植被图》中的熟制信息作为参考，对两种方法提取熟制信息精度进行检验；采用二次差分法分别绘出1996年及2006年熟制分布图，说明中国熟制分布的变化。最后，利用零级带≥0℃积温划分指标，分析年积温等气候因素对熟制的影响。【结果】（1）二次差分法和傅里叶变换法提取的熟制分布结果都基本符合中国农业熟制的分布规律，遵循越往南熟制越复杂的规律。一年一熟区主要分布在东北大部分地区，一年两熟区分布在河南、河北、山东和安徽一带，而一年三熟的区域零星分布在湖北省以南的省份。熟制分类的精度分别为76.5%和69.4%，kappa系数分别为0.64和0.51，二次差分法的分类精度高于傅里叶变换。（2）利用分类精度较高的二次差分法提取中国1986年、1996年到2006年的熟制分布信息，发现中国熟制间的界线发生了不同程度的北移和西扩，尤其是一年两熟的北界由1986的辽南葫芦岛北移到辽中本溪、沈阳一线，西界也由1986年的甘肃平凉、陕西宝鸡一带西扩至宁夏临夏回族自治州、青海海东地区。同时熟制之间的转换也是复杂多变的，?

英文摘要：

[Objective]The objective of this paper was to map the cropping systems of China using ten day NOAA-AVHRR-NDVI data of 1986 and 1996 years, and SPOT-VEGETATION-NDVI data of 2000. In order to extract the cropping systems＆amp;nbsp;information, the accuracies of the twice difference algorithm and Fourier transform method were compared. The performed better method was applied to map the cropping systems distributions for each year. On the basis of the cropping systems distributions, the changes of cropping systems in recent years would be known. Some meteorological data were used to reveal the possible reason of the change of cropping systems. The results were expected to provide information about the crop yield changes and their reasons.[Method]First, the cropping area was subset from the global land cover map provided by the European Space Agency （ESA GlobCover）. Second, the cropping system distribution of 1986 was mapped using twice difference algorithm and Fourier transform method by ENVI and ArcGIS software. The accuracies of the two methods were compared using the cropping system information in the“Vegetation Map of China”at the scale of 1：4 000 000 as a reference. The cropping systems distributions of 1996 and 2006 were mapped by the twice difference algorithm. The distributions were compared to extract the change information of cropping systems. At last, the accumulated temperature indicators of the zero-grade zone were used to analyze the possible impact of the climate change on the cropping systems change.[Result]The twice difference algorithm and the Fourier transform both provided reasonable accuracy for mapping cropping system of China. The area of one crop a year was mainly in the northeast area, the two crops a year was distributed in Henan, Hebei, Shandong, and Anhui provinces, and the three crops a year was covered by the area south to the Hubei Province. The accuracy of twice difference algorithm （overall accuracy was 76.5%and Kappa coefficient was 0.64） was a little higher than the F