CLOUD CLASSIFICATION USING METEOSAT VIS-IR IMAGERY

被引：32
|
作者：
PORCU, F
LEVIZZANI, V
机构：
[1] Istituto FISBAT-C.N.R, Gruppo Nubi e Precipitazioni, Bologna, 1-40126, via de’ Castagnoli I
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1992年 / 13卷 / 05期
关键词：
D O I：
10.1080/01431169208904162
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
A new method is proposed which allows for reasonably accurate cloud classification based upon Gaussian approximation of cloud emission and using a pair of visible-infrared, high resolution METEOSAT images. Its most important characteristic is the very low amount of CPU time required for a single classification. It becomes then suitable for application in very short range weather forecasting (nowcasting) by ensuring the adequate time coverage and necessary rapidity of use for the operational environment. Two classifications of summer and winter meteorological situations are presented.
引用
收藏
页码：893 / 909
页数：17
相关论文
共 50 条
  • [41] Producing large EFG™ sapphire sheet for VIS-IR (500-5000 nm) window applications
    Locher, JW
    Bates, HE
    Jones, CD
    Zanella, SA
    Window and Dome Technologies and Materials IX, 2005, 5786 : 147 - 153
  • [42] Diffraction Stray Light Analysis and Elimination of VIS-IR Imaging Spectrometer Based on Multi-Zone Grating
    Chen Xinhua
    Li Bicen
    Zhu Jiacheng
    Zhao Zhicheng
    Shen Weimin
    ACTA OPTICA SINICA, 2021, 41 (18)
  • [43] Hydropedological digital mapping: machine learning applied to spectral VIS-IR and radiometric data dimensionality reduction
    dos Santos, Priscilla Azevedo
    Koenow Pinheiro, Helena Saraiva
    de Carvalho Junior, Waldir
    da Silva, Igor Leite
    Pereira, Nilson Rendeiro
    Bhering, Silvio Barge
    Ceddia, Marcos Bacis
    REVISTA BRASILEIRA DE CIENCIA DO SOLO, 2023, 47
  • [44] Basis for a rainfall estimation technique using IR-VIS cloud classification and parameters over the life cycle of mesoscale convective systems
    Delgado, G.
    Machado, Luiz A. T.
    Angelis, Carlos F.
    Bottino, Marcus J.
    Redano, A.
    Lorente, J.
    Gimeno, L.
    Nieto, R.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2008, 47 (05) : 1500 - 1517
  • [45] Eosin Thermoluminescence in Polyvinyl Alcohol Films After Doubl Vis-IR Laser Excitation in a Wide Temperature Range
    Konstantinova, E., I
    Borkunov, R. Y.
    Tsarkov, M., V
    Samusev, I. G.
    Antipov, Y. N.
    Bryukhanov, V. V.
    JOURNAL OF APPLIED SPECTROSCOPY, 2019, 86 (02) : 232 - 237
  • [46] Eosin Thermoluminescence in Polyvinyl Alcohol Films After Doubl Vis-IR Laser Excitation in a Wide Temperature Range
    E. I. Konstantinova
    R. Y. Borkunov
    M. V. Tsarkov
    I. G. Samusev
    Y. N. Antipov
    V. V. Bryukhanov
    Journal of Applied Spectroscopy, 2019, 86 : 232 - 237
  • [47] AUTOMATIC CLASSIFICATION OF CLOUDS ON METEOSAT IMAGERY - APPLICATION TO HIGH-LEVEL CLOUDS
    DESBOIS, M
    SEZE, G
    SZEJWACH, G
    JOURNAL OF APPLIED METEOROLOGY, 1982, 21 (03): : 401 - 412
  • [48] Operational snow mapping using multitemporal Meteosat SEVIRI imagery
    de Wildt, Martijn de Ruyter
    Gabriela, Seiz
    Gruen, Armin
    REMOTE SENSING OF ENVIRONMENT, 2007, 109 (01) : 29 - 41
  • [49] POLAR CLOUD AND SURFACE CLASSIFICATION USING AVHRR IMAGERY - AN INTERCOMPARISON OF METHODS
    WELCH, RM
    SENGUPTA, SK
    GOROCH, AK
    RABINDRA, P
    RANGARAJ, N
    NAVAR, MS
    JOURNAL OF APPLIED METEOROLOGY, 1992, 31 (05): : 405 - 420
  • [50] Satellite Imagery-Based Cloud Classification Using Deep Learning
    Yousaf, Rukhsar
    Rehman, Hafiz Zia Ur
    Khan, Khurram
    Khan, Zeashan Hameed
    Fazil, Adnan
    Mahmood, Zahid
    Qaisar, Saeed Mian
    Siddiqui, Abdul Jabbar
    REMOTE SENSING, 2023, 15 (23)
12345