陆地生态系统碳监测卫星自主任务规划研究

Research on Autonomous Task Planning for Terrestrial Ecosystem Carbon Inventory Satellite

低轨遥感卫星往往以全球或全国范围内的特定地物为探测目标。为提高卫星在轨运行的自主性,文章提出了一种面向地物目标属性的遥感卫星自主任务规划方法。首先外推出预报点90 min后的星下点经纬度,并根据星载地图和太阳高度角,得到预报点的阳照/阴影、陆地/海洋、境内/境外属性。对地物目标属性信息进行平滑处理后,根据各载荷的地物目标属性,识别出各载荷的工作任务时间段,可实时实现提前约1个轨道圈的载荷自主任务规划。

Remote sensing satellites in low earth orbit(LEO)usually target specific ground-objects worldwide or inside China.In order to improve autonomy of satellite operations in orbit,a method of autonomous task planning for remote sensing satellites based on ground-object properties is proposed.Firstly,the longitude and latitude of the nadir point after 90 minutes is extrapolated and forecasted.Then the lighting/shadow,land/ocean and domestic/overseas properties of the forecasted nadir point are obtained using the on-board map and the solar elevation angle.Afterwards,the time table of every payload is generated based on the smoothed ground-object properties.Autonomous task planning for every payload can be performed about one-revolution in advance.