Monitoring the Spring Sowing Progress in Beijing with Multi-temporal Landsat TM and "Beijing-1"Micro-satellite Images
基于多时相TM和北京一号卫星影像的春播进度遥感监测

The normalized distance between the means was firstly calculated,the phenological spectral differences of multi-crop were investigated by the stepwise discriminations analysis method,the decision tree method and the mask technology were employed to monitor the planting areas of spring-sown crops on 28th May and 28th June,using remote sensing images acquired on 26th April,28th May and 28th June 2007,then the areas in counties were computed with the administrate boundaries,last,the accuracy validations were made based on ground truth interpreting points.The results showed that the classification accuracy on 28th May is 84.5% and that on 28th June is 88.0%.The stepwise discriminations analysis was testified to be more suitable to built classification rule and improve the multi\|crop classification accuracy based on multi\|temporal images.