摘要
以沈阳地区为研究实例,利用NASA对地观测系统EOS系列卫星遥感影像,经过了滤波处理MODIS归一化植被指数（NDVI）数据,对研究地区的旱田作物进行不间断监测.计算出2003 ～ 2007年的年平均NDVI,分析出NDVI年际变化特征、作物生育期内的NDVI变化规律,并找出产量与植被指数变化关系.结果表明,沈阳地区旱田植被指数的年际间差异明显,旱田作物生育进程与作物生育期内NDVI变化规律大致吻合,这表明作物产量与遥感植被指数间存在较好的相关.因此,根据同期地面作物产量调查数据与MODIS遥感数据,采用一次线性拟合法建立回归方程,简单分析出沈阳地区旱田作物产量与NDVI变化关系.
With Shenyang City in Liaoning Province as the case,using NASA earth observation system of EOS series of satellite remote sensing image,MODIS-NDVI remote sensing data after filtering treatment were used for continuously monitoring of upland crops in study area.The annual average NDVI during 2003-2007 was calculated,NDVI annual variation characteristics,NDVI variation law during crops growth period were analyzed,the relationship between yield and vegetation index change was obtained.The results showed that the inter annual differences of upland vegetation index in Shenyang City is obvious,the growth process of upland crops is roughly consistent with NDVI variation law in crops development period,indicating that there is a good correlation between crops yield and remote sensing vegetation index.According to ground crops yield investigation data and MODIS remote sensing data,a linear fitting method was adopted to establish regression equation.The relationship between upland crops yield in Shenyang Region and NDVI changes was analyzed.
出处
《安徽农业科学》
CAS
2014年第34期12353-12356,共4页
Journal of Anhui Agricultural Sciences
基金
西安市城市气象与生态农气业务研究创新团队项目
