Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/TGRS.2021.3067672 |
An Automatic Radiometric Cross-Calibration Method for Wide-Angle Medium-Resolution Multispectral Satellite Sensor Using Landsat Data | |
Lu, Jun; He, Tao; Liang, Shunlin; Zhang, Yongjun | |
通讯作者 | He, T (corresponding author), Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China. |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
ISSN | 0196-2892 |
EISSN | 1558-0644 |
出版年 | 2022 |
英文摘要 | Radiometric calibration of the medium-resolution satellite data is critical for monitoring and quantifying changes in the Earth's environment and resources. Many medium-resolution satellite sensors have irregular revisits and, sometimes, have a large difference in illumination viewing geometry compared with a reference sensor, posing a great challenge for routine cross-calibration practices. To overcome these issues, this study proposed a cross-calibration method to calibrate medium-resolution multispectral data. The Chinese Gaofen-4 (GF-4) panchromatic and multispectral sensor (PMS) data with large viewing angles were used as the test data, and Landsat-8 operational land imager (OLI) data were used as the reference data. A bidirectional reflectance distribution function (BRDF) correction method was proposed to eliminate the effects of differences in illumination viewing geometry between GF-4 and Landsat-8. The validation using concurrent image shows that the mean relative error (MRE) of cross calibration is less than 6.65%. Validation using ground measurements shows that our calibration results have an improvement of around 14.8% compared with the official released calibration coefficients. The time series cross calibration reveals that, without the requirements of simultaneous nadir observations (SNOs), our calibration activities can be carried out more often in practice. Gradual and continuous radiometric sensor degradation is identified with the monthly updated calibration coefficients, demonstrating the reliability and importance of the timely cross calibration. Besides, the cross-calibration approach does not rely on any specific calibration site, and the difference in illumination viewing geometry can be well considered. Thus, it can be easily adapted and applied to other optical satellite data. |
英文关键词 | Calibration Remote sensing Earth Artificial satellites Satellite broadcasting Radiometry MODIS Bidirectional reflectance distribution function (BRDF) Gaofen-4 (GF-4) Landsat-8 radiometric calibration |
类型 | Article |
语种 | 英语 |
开放获取类型 | Bronze |
收录类别 | SCI-E |
WOS记录号 | WOS:000732796500001 |
WOS关键词 | SURFACE ALBEDO ESTIMATION ; SNOW-FREE ALBEDO ; REFLECTANCE PRODUCTS ; TERRA MODIS ; ETM PLUS ; RETRIEVAL ; BRDF ; DESERT ; TM ; ANISOTROPY |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/374577 |
作者单位 | [Lu, Jun; He, Tao; Zhang, Yongjun] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China; [Liang, Shunlin] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA |
推荐引用方式 GB/T 7714 | Lu, Jun,He, Tao,Liang, Shunlin,et al. An Automatic Radiometric Cross-Calibration Method for Wide-Angle Medium-Resolution Multispectral Satellite Sensor Using Landsat Data[J],2022. |
APA | Lu, Jun,He, Tao,Liang, Shunlin,&Zhang, Yongjun.(2022).An Automatic Radiometric Cross-Calibration Method for Wide-Angle Medium-Resolution Multispectral Satellite Sensor Using Landsat Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. |
MLA | Lu, Jun,et al."An Automatic Radiometric Cross-Calibration Method for Wide-Angle Medium-Resolution Multispectral Satellite Sensor Using Landsat Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022). |
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