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Published： 07 May 2023 ，
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张浩，刘涛，闫东川，阎跃观，崔珍珍.2023.基于MODIS的GF-4/PMS遥感器交叉定标—以巴丹吉林沙漠为参考目标.遥感学报，27（5）： 1205-1215
Zhang H，Liu T，Yan D C，Yan Y G and Cui Z Z. 2023. Cross calibration of GF-4/PMS based on MODIS over Badain Jaran Desert. National Remote Sensing Bulletin， 27（5）：1205-1215
高分四号（GF-4）是中国首颗高分辨率静止轨道光学遥感卫星，搭载了一台可见/中波红外凝视相机，由于缺少星上定标系统导致无法提供高频次的星上辐射定标系数。为了更好的实现GF-4/PMS传感器辐射性能监测和数据定量化应用，本文选择了巴丹吉林沙漠南端均匀沙地，利用MODIS作为参考传感器对GF-4/PMS可见近红外波段进行交叉定标。为尽量减少地表不均匀性造成的交叉定标误差，使用较高分辨率的影像（Landsat 8/OLI）搜索巴丹吉林沙漠地区的均匀区域，确定为交叉定标试验区。为进一步减少遥感器成像角度和大气变化的影响，进行了MODIS成像角与GF-4成像角角度差约束（小于20°）、成像时刻约束（小于2 h）、云和成像质量问题，共选择2016年—2018年有效图像对13组，通过利用MODTRAN模拟计算二者光谱匹配因子进而实现交叉定标系数计算。结果表明：（1） 本文计算的辐射定标系数在朗伯体假定和Ross-Li模型假定情况下具有较高一致性，忽略BRDF效应情况造成的计算误差在0.8%—4%，定标结果的不确定度在7.4%以内；（2） 2016年至2018年GF-4/PMS遥感器辐射性能呈现缓慢下降特征，年衰减率小于1%。本文的方法可以有效地提高GF-4/PMS的辐射定标频率和定标精度，实现对GF-4/PMS传感器整个生命周期的辐射性能监测。
GF-4 is the first high-resolution geostationary orbit optical remote sensing satellite in China
and it is equipped with a staring camera that covers the visible-to-mid-infrared spectrum. Providing in-orbit radiometric calibration coefficients frequently is difficult due to the lack of on-board calibration devices. To effectively monitor the radiometric performance of GF-4/PMS and provide a solid basis for quantitative applications
the cross-calibration method was used in this study to derive the calibration coefficients over a selected calibration site located in the north of Badan Jaran Desert. The cross-calibration site was identified by searching the uniform area in a high-resolution image (i.e.
Landsat 8 /OLI) to minimize the uniform impact on the cross-calibration results. To reduce the effects of the imaging angles of the sensor and atmospheric changes
the restraint was set to the imaging angle difference between MODIS and GF-4 (less than 20°)
the imaging time difference (less than 2 h)
the cloud
and image quality. In total
13 image pairs were available from 2016 to 2018 and were used to calculate the cross-calibration coefficients after compensating for the spectral matching factors
which were simulated by MODTRAN. Results showed that (1) the cross-calibration coefficients calculated under the Lambertian assumption were highly consistent with those calculated under the Ross-Li BRDF assumption. The uncertainty was less than 7.4%
and the relative difference ranged between 0.8% and 4% when BRDF was neglected. (2) The radiometric performance of GF-4/PMS decreased slowly from 2016 to 2018
with 1% decrement per year. Thus
the proposed method can effectively improve the radiometric calibration frequency of GF-4/PMS with an acceptable accuracy and can be used for radiometric performance monitoring over the whole life cycle of the sensor.
遥感交叉定标GF-4/PMSMODIS不确定性分析
remote sensingcross calibrationGF-4/PMSMODISuncertainty analysis
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