评估大地理区域内作物轮作水平是农业生产中必须解决的重要问题之一。借助统计学分析方法,在解译连续两年作物卫星遥感影像的基础上,构建统计分析模型,计算农作物的统计轮作周期、评估农作物统计轮作水平。对江苏省兴化市初步研究表明,该市棉稻轮作周期为2.09年,与传统的轮作用期相比较,统计轮作周期和水平更能反映大地理区域作物轮作的现状。
How to evaluate crop rotation level in large geographic area is one of the most important problems in agricultural production. According to statistical analysis, a statistical model is built for computing crop statistics rotation period and evaluating crop statistics rotation level by interpreting two continuous-year crop satellite images. The initial results of this model application in Xinhua city of Jiangsu Province show that the period for cotton-rice rotation in this city is about 2.09 years. Therefore, against traditional rotation period, crop statistics rotation period and level is more accurate for crop rotation status in large geographic area.