【摘要】 沿淮淮北是安徽省主要的冬小麦种植区,为了对该区域冬小麦长势进行实时、动态地监测,通过采用变化向量分析方法,利用2005—2010年EOS/MODIS数据,在HANTS算法重构无云NDVI时间序列图像以及安徽省冬小麦种植区提取等数据处理基础上,研究基于NDVI变化向量、曲边梯形面积的长势综合监测模型,对研究区的年际与年内长势变化进行时间和空间上的定量分析。结果表明:HANTS处理平滑后的MODIS的10天合成植被指数的年时序曲线有效消除了云和数据缺失的影响,重构后的生长曲线可以更清楚地反应作物生长变化趋势和规律,有利于监测模型的建立;冬小麦种植区提取,大大提高了卫星监测精度,构建的综合监测模型适合单一生长季苗情长势遥感监测,该模型在2011年冬小麦长势评估中取得了良好的监测效果。更多还原

【Abstract】 The Huaihe River and Huaibei of Anhui Province were the winter wheat main planting area. For real-time and dynamic monitoring the winter wheat, The EOS/MODIS data set from 2005 to 2010, which used as the main remotely sensed data. The combining comprehensive model of crop’s monitoring based on NDVI change vector and trapezoidal area were constructed, the cloudless NDVI time of series image was reconstructed by HANTS and planting area of winter wheat was extracted in Anhui Province. The winter wheat crop was quantitative analyzed in the study, area with years of crop’s annual change in time and space. The results showed that: the influence of lack of cloud and data were effective eliminated by Hants. The crops growth tread of change was clear reacted after reconstruction. The comprehensive monitoring model of NDVI change vector and Trapezoidal area analysis was more suitable for single growth season’s growing remote sensing monitoring and the good monitoring result was obtained in 2011.更多还原