HJ星数据在关中冬小麦种植面积遥感监测中的应用 

应用冬小麦抽穗期的环境小卫星影像对关中地区依据行政区划划分,采用多种遥感监测方法进行冬小麦种植面积提取,提取精度达95.64%。结果表明:抽穗期是关中地区提取冬小麦种植面积的最佳时相,同时也表明环境小卫星可以用来监测大范围的冬小麦种植面积,并得到很高的精度。在未来的研究中,对于地形差异较大的地区,可依据地形和冬小麦的种植结构对研究区进行划分,针对每个子研究区采用不同的遥感监测方法以提高提取精度。

Remote Sensing Monitoring Planting Area of Winter Wheat in Guanzhong Using HJ Data

Winter wheat is one of the main food crops in Guanzhong Region,master its planting area has great significance for yield estimation of winter wheat.HJ satellite image of heading stage of Winter wheat is applied in this study.According to the administrative division,many kinds of remote sensing monitoring methods,such as the maximum likelihood classification,mahalanobis distance classification,Support vector machine classification,and ISODATA classification,were used in winter wheat planting area extraction,the final extraction accuracy is 95.64% in Guanzhong region.The result shows that the heading stage is the best phase for winter wheat extraction using remote sensing image in Guanzhong region,also shows that HJ satellite image can be used to monitor a wide range of winter wheat planting area,and could get high accuracy.In the future,in order to improve extraction accuracy,study area can be divided according to the terrain differences and the planting structure of winter wheat for each study area using different remote sensing monitoring method.