附有物理量和气象条件约束的光学卫星国土观测有效覆盖率评估

传统光学卫星国土观测覆盖评估建立在卫星对地理想覆盖的基础上,并未考虑卫星存储、星地数据传输、观测时长等物理量及观测区域气象因素对于覆盖性能的影响。本文针对光学遥感卫星的国土观测需求.建立国土观测有效覆盖能力评估指标体系,根据卫星数据存储能力、星地数据传输能力、卫星单圈最大观测时长、卫星观测太阳高度角等性能参数,提出了基于物理性能约束下的有效覆盖计算方法。根据气象台站历年气象数据,提出了气象约束因子的计算方法。综合考虑卫星物理性能约束与观测区域气象约束,计算光学遥感卫星对地观测有效覆盖能力。最后根据专家设计的光学遥感卫星国土观测有效覆盖能力评估指标权重,利用层次分析法(AHP)评估光学遥感卫星系统对于国土观测的需求满足程度。试验结果表明,本文方法对于国土观测有效覆盖的估算和评价结果更加精确,更接近于国土观测的实际应用需求,为对地观测有效覆盖能力评估提供了一种更为精确的可行方案。

Land Observation Evaluation of Effective Coverage for Optical Satellites Based on Physical and Meteorological Condition

The coverage evaluation of traditional land observation for optical satellite is based on ideal coverage of satellite,which has no consideration of the influence of physical condition,such as satellite storage,satellite data transmission and observation time.It also has no consideration of the influence of meteorological condition in observation area.According to land observation requirements of remote sensing,an index evaluation system of effective coverage ability for remote sensing on land observation is build up.According to data storage capacity,data transmission capacity between satellite and ground, longest observation time in one loop,solar elevation angle of satellite observation and so on,an effective coverage calculation method is proposed based on physical capacity constraint for optical remote sensing satellite.On the basis of the climate data of meteorological station over the years,an effective coverage calculation method based on climate constraint is raised for optical remote sensing satellite.Synthesizing satellite physical capacity constraint and climate constraint,effective coverage capacity of earth observation for optical remote sensing satellite is calculated.Meanwhile,based on index evaluation weight of effective coverage capacity for land observation by experts,analytical hierarchical process (AHP)is used to evaluate requirement satisfactory degree for land observation.The experimental result shows that the proposed algorithm is more accurate in estimation and evaluation for effective coverage on land observation,which is able to provide a more precise solution for effective coverage capacity evaluation on earth observation.