摘要
目的:利用GF-6和GF-1卫星高时空分辨率、覆盖范围广等特点,组网协同研究二者宽幅(WFV)传感器之间的差异。方法:基于同期过境的2对GF-6/WFV与GF-1/WFV影像数据,采用样区均值法进行地表反射率层面的交互对比分析,探究G F-6/WFV与GF-1/WFV波段光谱数据之间的定量关系,并构建线性转换方程。结果:GF-6/WFV与GF-1/WFV的观测能力具有较高的一致性,对应波段间线性回归方程的决定系数(R 2)均高于0.942。GF-1/WFV1、GF-1/WFV2与GF-6/WFV数据间的均方根误差(RMSE)在蓝光波段较小,但在绿光、红光和近红外波段的差异逐渐增大;总体上,GF-6/WFV的信号强度比GF-1/WFV低9%~14%,其低于GF-1/WFV1约9.327%,低于GF-1/WFV2约13.573%。经线性转换后的GF-1/WFV数据与G F-6/WFV数据的差异明显降低,GF-1/WFV1数据对应波段的RMSE降低56.435%,相对偏差率(ME)降低8.351%;GF-1/WFV2数据RMSE的降低率达60%以上,ME降低11.119%。结论:G F-6/WFV与GF-1/WFV的转换方程具有较高的准确性,可有效提升2颗卫星组网观测的一致性,对监测地表变化、采集地面信息等具有重要意义。本研究可为GF-6与GF-1卫星数据的协同观测和组网应用提供科学参考。
Objective:The GF-6 and GF-1 satellites are an important part of the high-resolution earth observation system with apparent advantages on high spatial-temporal resolution,wide coverage and networking cooperation.However,little is known about the difference analysis between the wide amplitude(WFV)sensors of GF-6 and GF-1.Methods:Based on two pairs of GF-6/WFV and GF-1/WFV image data,the sample area mean method was used to analyze the surface reflectivity level,so as to explore the quantitative relationship between GF-6/WFV and GF-1/WFV band spectral data,and to construct a linear conversion equation.Results:The observation power of GF-6/WFV and GF-1/WFV had a high consistency.The coefficient of determination(R 2)of the linear regression equation between the corresponding bands was higher than 0.942.The RMSE between G F-1/WFV1,GF-1/WFV2 and GF-6/WFV data was small in blue light,but the difference in green hight,red light and near infrared increased;overall,the signal intensity of GF-6/WFV was 9%—14%lower than that of GF-1/WFV,with lowered GF-1/WFV1 of about 9.327%and lowered GF-1/WFV2 of about 13.573%.The difference between GF-1/WFV data and GF-6/WFV data decreased significantly after linear transformation the RMSE of the corresponding band of GF-1/WFV1 data decreased by 56.435%and the ME by 8.351%.The RMSE of GF-1/WFV2 data decreased by more than 60%and the ME decreased by 11.119%.Conclusion:The conversion equation of GF-6/WFV and GF-1/WFV has high accuracy,which can effectively improve the consistency of network observation of the two satellites.It is of great significance for monitoring surface changes and collecting ground information.This study can provide scientific reference for the collaborative observation and networking application of GF-6 and GF-1 satellite data.
作者
苏祥祥
李永康
朱永基
陶新宇
祝雪晴
刘吉凯
李新伟
SU Xiangxiang;LI Yongkang;ZHU Yongji;TAO Xinyu;ZHU Xueqing;LIU Jikai;LI Xinwei(College of Resource and Environment,Anhui Science and Technology University,Fengyang 233100,China;Anhui Province Agricultural Waste Fertilizer Utilization and Cultivated Land Quality Improvement Engineering Research Center,Fengyang 233100,China;Anhui Province Engineering Research Center of Smart Crop Planting and Processing Technology,Fengyang 233100,China)
出处
《安徽科技学院学报》
2023年第5期71-79,共9页
Journal of Anhui Science and Technology University
基金
安徽省科技重大专项(202203a06020007)
安徽省高校自然科学研究项目(2022AH051623,2022AH051029,KJ2021A0891,KJ2021A0860)
凤阳县科技计划项目(NY2022-01)
安徽省大学生创新创业训练计划项目(202210879043)。
