JET CONTRAILS AND CIRRUS CLOUD - A FEASIBILITY STUDY EMPLOYING HIGH-RESOLUTION IMAGERY - REPLY

被引:0
|
作者
CARLETON, AM
LAMB, PJ
机构
[1] INDIANA UNIV,DEPT GEOG,BLOOMINGTON,IN 47405
[2] ILLINOIS STATE WATER SURVEY,CLIMATE & METEOROL SECT,CHAMPAIGN,IL 61820
关键词
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
引用
收藏
页码:1150 / 1151
页数:2
相关论文
共 50 条
  • [1] JET CONTRAILS AND CIRRUS CLOUD - A FEASIBILITY STUDY EMPLOYING HIGH-RESOLUTION SATELLITE IMAGERY
    CARLETON, AM
    LAMB, PJ
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1986, 67 (03) : 301 - 309
  • [2] A HIGH-RESOLUTION 21 CENTIMETER LINE STUDY OF INFRARED CIRRUS
    JONCAS, G
    BOULANGER, F
    DEWDNEY, PE
    [J]. ASTROPHYSICAL JOURNAL, 1992, 397 (01): : 165 - 173
  • [3] Microphysical and optical properties of cirrus and contrails: Cloud field study on 13 October 1989
    Gayet, JF
    Febvre, G
    Brogniez, G
    Chepfer, H
    Renger, W
    Wendling, P
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 1996, 53 (01) : 126 - 138
  • [4] Near micron-sized cirrus cloud particles in high-resolution infrared spectra: An orographic case study
    Kahn, BH
    Eldering, A
    Clough, SA
    Fetzer, EJ
    Fishbein, E
    Gunson, MR
    Lee, SY
    Lester, PF
    Realmuto, VJ
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2003, 30 (08) : 24 - 1
  • [5] Cloud removal using efficient cloud detection and removal algorithm for high-resolution satellite imagery
    Menaka, E.
    Kumar, S. Suresh
    Bharathi, M.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2015, 51 (01) : 54 - 61
  • [6] Sensitivity analysis of cirrus cloud properties from high-resolution infrared spectra. Part I: Methodology and synthetic cirrus
    Kahn, BH
    Eldering, A
    Ghil, M
    Bordoni, S
    Clough, SA
    [J]. JOURNAL OF CLIMATE, 2004, 17 (24) : 4856 - 4870
  • [7] Feasibility of using high-resolution satellite imagery to assess vertebrate wildlife populations
    LaRue, Michelle A.
    Stapleton, Seth
    Anderson, Morgan
    [J]. CONSERVATION BIOLOGY, 2017, 31 (01) : 213 - 220
  • [8] Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning
    Morales, Giorgio
    Huaman, Samuel G.
    Telles, Joel
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III, 2018, 11141 : 280 - 288
  • [9] Applicability Analysis of Constructing UDM of Cloud and Cloud Shadow in High-Resolution Imagery Using Deep Learning
    Kim, Nayoung
    Yung, Yerin
    Choi, Jaewan
    Han, Youkyung
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2024, 40 (04) : 351 - 361
  • [10] Neural network retrieval of cloud parameters from high-resolution multispectral radiometric data - A feasibility study
    Faure, T
    Isaka, H
    Guillemet, B
    [J]. REMOTE SENSING OF ENVIRONMENT, 2002, 80 (02) : 285 - 296