Evaluation of Data Quality of FY-3D Satellite Sensor MERSI II over Marine Waters

Jingwei Zhang; Zhongfeng Qiu

doi:10.3788/AOS202141.1201002

[1] Hu X Q, Niu X H, Xu N et al. The instrument and application ability improvement of medium resolution spectral imager onboard FY-3D. C]∥The 35th Annual Meeting of the Chinese Meteorological Society S21 Satellite Meteorology and Ecological Remote Sensing, October 23-26, 2018, Hefei, Anhui, China. Beijing: Meteorological Society of China:, 92-100(2018).

[2] Dong C H, Yang J, Lu N M et al. Main characteristics and primary applications of polar-orbiting satellite FY-3A[J]. Journal of Geo-Information Science, 12, 458-465(2010).

[3] Jin C. A study on cloud detection algorithm of Fengyun-3D spectral imager over land[D]. Nanjing: Nanjing University of Information Science & Technology(2018).

[4] Zhao H Y, Hao X H, Zheng Z J et al. A new algorithm of fractional snow cover basing on FY-3D/MERSI-Ⅱ[J]. Remote Sensing Technology and Application, 33, 1004-1016(2018).

[5] Qu J H, Yan J J, Xue J et al. Research on the cloud detection model of FY3D/MERSI and EOS/MODIS based on deep learning[J]. Journal of Meteorology and Environment, 35, 87-93(2019).

[6] Han X Z, Wang F, Shan T C et al. Research and applications of true color image composite method for Fengyun-3D[J]. Journal of Marine Meteorology, 39, 13-23(2019).

[7] Qu J H, Yan J J, Wang Y T et al. Global clear-sky data synthesis technology based on FY-3D MERSI-Ⅱ instrument[J]. Meteorological Science and Technology, 47, 539-545(2019).

[8] Zheng W, Chen J, Yan H et al. Global fire monitoring products of FY-3D/MERSI-II and their applications[J]. Journal of Remote Sensing, 24, 521-530(2020).

[9] Zhu B, Wang X H, Tang L L et al. Review on methods for SNR estimation of optical remote sensing imagery[J]. Remote Sensing Technology and Application, 25, 303-309(2010).

[10] Liu J G, Zheng L F, Tong Q X et al. Estimation of signal to noise ratio of remote sensing images[J]. Journal of Basic Science and Engineering, 7, 360-365(1999).

[11] Curran P J, Dungan J L. Estimation of signal-to-noise: a new procedure applied to AVIRIS data[J]. IEEE Transactions on Geoscience and Remote Sensing, 27, 620-628(1989). http://www.bioone.org/servlet/linkout?suffix=i1551-5036-23-6-1399-Curran1&dbid=16&doi=10.2112%2F04-0421.1&key=10.1109%2FTGRS.1989.35945

[12] Gao B C. An operational method for estimating signal to noise ratios from data acquired with imaging spectrometers[J]. Remote Sensing of Environment, 43, 23-33(1993). http://www.sciencedirect.com/science/article/pii/0034425793900612

[13] Gao L R, Zhang B, Zhang X et al. Study on the method for estimating the noise in remote sensing images based on local standard deviations[J]. Journal of Remote Sensing, 11, 201-208(2007).

[14] Hu C M, Feng L, Lee Z et al. Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past[J]. Applied Optics, 51, 6045-6062(2012).

[15] Hu X Q, Sun L, Liu J J et al. Calibration for the solar reflective bands of medium resolution spectral imager onboard FY-3A[J]. Advances in Meteorological Science and Technology, 3, 71-83(2013).

[16] Wang L, Hu X Q, Chen L et al. FY-3C/MERSI calibration for solar band using multi-reflectance stable targets[J]. Optics and Precision Engineering, 23, 1911-1920(2015).

[17] Xu N, Wu R H, Hu X Q et al. Integrated method for on-obit wide dynamic vicarious calibration of FY-3C MERSI reflective solar bands[J]. Acta Optica Sinica, 35, 1228001(2015).

[18] Zhi D D. Radiometric recalibration for the reflective solar bands of FengYun-3 satellite medium resolution spectral imager and its applications[D]. Hefei: University of Science and Technology of China(2019).

[19] Zhang Y X, Li X, Zhang M et al. On-orbit radiometric calibration for thermal infrared band of FY3D/MERSI-Ⅱ satellite remote sensor based on Qinghai lake radiation calibration test-site[J]. Acta Photonica Sinica, 49, 0528002(2020).

[20] Chen J, He X Q, Liu Z L et al. An approach to cross-calibrating multi-mission satellite data for the open ocean[J]. Remote Sensing of Environment, 246, 111895(2020). http://www.sciencedirect.com/science/article/pii/S0034425720302650

[21] Cao Z G, Duan H T, Song Q J et al. Evaluation of the sensitivity of China's next-generation ocean satellite sensor MWI onboard the Tiangong-2 space lab over inland waters[J]. International Journal of Applied Earth Observation and Geoinformation, 71, 109-120(2018). http://www.sciencedirect.com/science/article/pii/S0303243418300096

[22] Fu P, Sun Q S, Ji Z X et al. A method of SNR estimation and comparison for remote sensing images[J]. Acta Geodaetica et Cartographica Sinica, 42, 559-567(2013).

[23] McClain C R, Signorini S R, Christian J R et al. Subtropical gyre variability observed by ocean-color satellites[J]. Deep Sea Research Part II: Topical Studies in Oceanography, 51, 281-301(2004).

[24] Li J, Chen X L, Tian L Q et al. Tracking radiometric responsivity of optical sensors without on-board calibration systems-case of the Chinese HJ-1A/1B CCD sensors[J]. Optics Express, 23, 1829-1847(2015). http://www.ncbi.nlm.nih.gov/pubmed/25835937

[25] Gordon H R, Wang M H. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm[J]. Applied Optics, 33, 443-452(1994). http://europepmc.org/abstract/MED/20862036

[26] Zhou Q, Li J, Tian L et al. Coupled approach for radiometric calibration and parameter retrieval to improve SPM estimations in turbid inland/coastal waters[J]. Optics Express, 28, 5567-5586(2020). http://www.researchgate.net/publication/338676077_A_coupled_approach_for_radiometric_calibration_and_parameter_retrieval_to_improve_water_quality_estimations_in_turbid_inlandcoastal_waters