Acta Optica Sinica, Volume. 40, Issue 21, 2128001(2020)

GF-6 WFV Data Cloud Detection Based on Improved LCCD Algorithm

Yongji Wang1, Yanfang Ming1、*, Tianchen Liang1, Xueying Zhou2, Chen Jia1, and Quan Wang1
Author Affiliations
  • 1College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China
  • 2School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430072, China
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    References(30)

    [1] Harshvardhan U, Randall D A, Corsetti T G et al. Earth radiation budget and cloudiness simulations with a general circulation model[J]. Journal of the Atmospheric Sciences, 46, 1922-1942(1989).

    [5] Yu C H, Yuan Y, Miao M J, Remote Sensing, Spatial Information Sciences et al. XL-, 2/W1, 173-177(2013).

    [6] Jedlovec G J, Haines S L. LaFontaine F J. Spatial and temporal varying thresholds for cloud detection in GOES imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 46, 1705-1717(2008).

    [7] Rossow W B, Schiffer R A. ISCCP cloud data products[J]. Bulletin of the American Meteorological Society, 72, 2-20(1991).

    [8] Rossow W B, Schiffer R A. Advances in understanding clouds from ISCCP[J]. Bulletin of the American Meteorological Society, 80, 2261-2287(1999).

    [9] Saunders R W, Kriebel K T. An improved method for detecting clear sky and cloudy radiances from AVHRR data[J]. International Journal of Remote Sensing, 9, 123-150(1988).

    [10] Kriebel K T, Gesell G, Kästner M et al. The cloud analysis tool APOLLO: improvements and validations[J]. International Journal of Remote Sensing, 24, 2389-2408(2003).

    [11] Lovell J L, Graetz R D. Filtering pathfinder AVHRR land NDVI data for Australia[J]. International Journal of Remote Sensing, 22, 2649-2654(2001).

    [12] Stowe L L, Davis P A. McClain E P. Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer[J]. Journal of Atmospheric and Oceanic Technology, 16, 656-681(1999).

    [13] Sun L, Wei J, Wang J et al. A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database[J]. Journal of Geophysical Research: Atmospheres, 121, 7172-7196(2016).

    [14] Sun L, Zhou X Y, Wang R L et al. A comparison of the cloud detection results between the UDTCDA mask and MOD35 cloud products[C]//2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 23-28, 2017, Fort Worth,, 25-28(2017).

    [17] Sun L, Zhou X Y, Wei J et al. A new cloud detection method supported by GlobeLand30 data set[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 3628-3645(2018).

    [18] Gong P, Liu H, Zhang M N et al. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017[J]. Science Bulletin, 64, 370-373(2019).

    [19] Gong P, Wang J, Yu L et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data[J]. International Journal of Remote Sensing, 34, 2607-2654(2013).

    [20] Sun L, Mi X T, Wei J et al. A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 124, 70-88(2017).

    [21] Clark R N, Swayze G A, Wise R A et al. USGS digital spectral library splib06a [S.l.]:[S.l.]. US Geological Survey(2007).

    [22] Boardman J W, Kruse F A, Green R O. Mapping target signatures via partial unmixing of AVIRIS data. [C]//Summaries of JPL Airborne Earth Science Workshop. [S.l.:s.n.], 23-26(1995).

    [23] Plaza A, Martinez P, Perez R et al. A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles[J]. Pattern Recognition, 37, 1097-1116(2004).

    [24] Miao L D, Qi H R, Szu H. A maximum entropy approach to unsupervised mixed-pixel decomposition[J]. IEEE Transactions on Image Processing, 16, 1008-1021(2007).

    [25] Ishida H, Nakajima T Y. Development of an unbiased cloud detection algorithm for a spaceborne multispectral imager[J]. Journal of Geophysical Research: Atmospheres, 114, D07206(2009).

    [26] Chen P Y, Srinivasan R, Fedosejevs G et al. An automated cloud detection method for daily NOAA-14 AVHRR data for Texas, USA[J]. International Journal of Remote Sensing, 23, 2939-2950(2002).

    [27] Zhu Z, Woodcock C E. Object-based cloud and cloud shadow detection in Landsat imagery[J]. Remote Sensing of Environment, 118, 83-94(2012).

    [28] Zhu Z, Wang S X, Woodcock C E. Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images[J]. Remote Sensing of Environment, 159, 269-277(2015).

    [29] Qiu S, Zhu Z, Qiu S, He B et al. Fmask 4.0: cloud and cloud shadow detection in Landsats 4-8 and Sentinel-2[J]. Remote Sensing of Environment, 231, 111205(2019).

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    Yongji Wang, Yanfang Ming, Tianchen Liang, Xueying Zhou, Chen Jia, Quan Wang. GF-6 WFV Data Cloud Detection Based on Improved LCCD Algorithm[J]. Acta Optica Sinica, 2020, 40(21): 2128001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 14, 2020

    Accepted: Jul. 15, 2020

    Published Online: Oct. 26, 2020

    The Author Email: Ming Yanfang (myf414@163.com)

    DOI:10.3788/AOS202040.2128001

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