A blue-band surface residual correction method for land aerosol optical depth retrieval from DQ-1 WSI

Zhao, Jingxuan; Wang, Yujing; Chen, Hui; Zhang, Mengjie; Wang, Lili; Yang, Xingchuan; Dong, Shuo; Zhao, Wenji; Ma, Pengfei

doi:10.5194/amt-19-6805-2026

Articles | Volume 19, issue 20

https://doi.org/10.5194/amt-19-6805-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-19-6805-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 20

Research article

|

28 Oct 2026

Research article |

| 28 Oct 2026

A blue-band surface residual correction method for land aerosol optical depth retrieval from DQ-1 WSI

Jingxuan Zhao, Yujing Wang, Hui Chen, Mengjie Zhang, Lili Wang, Xingchuan Yang, Shuo Dong, Wenji Zhao, and Pengfei Ma

Related authors

Elevational dependence of global forest fires and associated aerosol optical depth: drivers and decoupling

Qiaomin Pei, Chuanfeng Zhao, Xing Yan, Xingchuan Yang, Annan Chen, and Xin Wan

Atmos. Chem. Phys., 26, 5697–5711, https://doi.org/10.5194/acp-26-5697-2026,https://doi.org/10.5194/acp-26-5697-2026, 2026

Short summary

High-precision 3D Modeling of Construction Waste Pile Bodies by Integrating Multi-source Data

Leyan Shi, Wenji Zhao, Yanhui Wang, and Xing Yan

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 423–429, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-423-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-423-2024, 2024

MULTI-DIMENSIONAL POVERTY IDENTIFICATION AND EVOLUTION ANALYSIS IN HEBEI PROVINCE BASED ON NIGHTTIME LIGHT REMOTE SENSING DATA

Y. Sun, Y. Wang, X. Feng, Z. Gong, F. Duan, and W. Zhao

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 573–579, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-573-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-573-2023, 2023

A FULLY CONNECTED CHANGE DETECTION METHOD OF SAR IMAGES FUSING ORIGINAL IMAGE FEATURES AND CHANGE DETECTION RESULTS

Z. Sun, F. Duan, H. Guan, F. Yang, Y. Wang, and W. Zhao

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1271–1280, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1271-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1271-2023, 2023

Spatiotemporal variation characteristics of global fires and their emissions

Hao Fan, Xingchuan Yang, Chuanfeng Zhao, Yikun Yang, and Zhenyao Shen

Atmos. Chem. Phys., 23, 7781–7798, https://doi.org/10.5194/acp-23-7781-2023,https://doi.org/10.5194/acp-23-7781-2023, 2023

Short summary

Cited articles

Bilal, M., Qiu, Z., and Lu, X.: A simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces, Remote Sens. Environ., 136, 135–145, https://doi.org/10.1016/j.rse.2013.04.014, 2013.

Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.

Cao, J.: Geometric calibration of the whiskbroom DaQi-1 WSI based on an equivalent linear-array CCD, IEEE T. Geosci. Remote, 61, 5616713, https://doi.org/10.1109/TGRS.2023.3300013, 2023.

Che, H., Xia, X., Zhu, J., Wang, H., Wang, Y., Sun, J., Zhang, X., and Shi, G.: Aerosol optical properties under the condition of heavy haze over an urban site of Beijing, China, Environ. Sci. Pollut. R., 22, 1043–1053, https://doi.org/10.1007/s11356-014-3415-5, 2015.

Christensen, M. W., Neubauer, D., Poulsen, C. A., Thomas, G. E., McGarragh, G. R., Povey, A. C., Proud, S. R., and Grainger, R. G.: Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate, Atmos. Chem. Phys., 17, 13151–13164, https://doi.org/10.5194/acp-17-13151-2017, 2017.