多时相无人机影像的烟草轮作精细监测

Precise monitoring of tobacco rotation based on multi-temporal UAV images

针对大区域烟草轮作监测缺乏有效手段的问题,文章提出了基于无人机摄影测量技术进行高精度烟草轮作种植情况的监测方法:首先基于两个时相的无人机遥感影像分别生成数字正射影像;然后通过人工解译获取两个时相的烟田空间分布图;最后利用地理信息系统空间分析功能对两个时相的烟田空间分布图进行处理获取烟草轮作信息。在山东省临沂市的两个乡镇开展了应用,取得了良好的示范效果,对农作物轮作监测有参考价值。

Aiming to the problem that the existing techniques fails to monitor the precise rotation of the tobacco in large areas, the paper proposed a method using multi-temporal UAV images： first, the DOMs of two phases were produced based on the UAV images of each phase, respectively; second, the spatial distribution map of the tobacco fields of each phase was acquired by human interpretation; finally, the spatial analysis of GIS was performed to derive the tobacco rotation information based on the above two spatial distribution maps. The method had been tested in two counties of Linyi city, Shandong Prov- ince. Results showed the feasibility of the method, which would be meaningful for precise crop monito- ring.