A ground based multi-sensor system for the remote sensing of clouds

被引:3
|
作者
Crewell, S [1 ]
Hasse, G [1 ]
Löhnert, U [1 ]
Mebold, H [1 ]
Simmer, C [1 ]
机构
[1] Univ Bonn, Inst Meteorol, D-53121 Bonn, Germany
关键词
D O I
10.1016/S1464-1909(98)00039-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A ground based system combining active and passive remote sensing instruments from different spectral ranges has been set up at the Meteorological Institute in Bonn to investigate cloud processes. Currently, the sensor package includes a laser ceilometer, an infrared radiometer, an X-Band Radar, and a 4-channel microwave radiometer. Cloud base height and temperature, precipitation, and the integrated quantities of water vapor and cloud liquid water can be measured on small time scales (less than or equal to 15 s). The system will be extended in fall 1998 with a 22-channel microwave to derive profiles of humidity, temperature and liquid water content. A case study using measurements from April 1, 1998 demonstrates the ability of the system to characterize various types of clouds. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:207 / 211
页数:5
相关论文
共 50 条
  • [1] COMPUTING RESOURCE SHARING IN GROUND SYSTEM OF MULTI-SATELLITE AND MULTI-SENSOR REMOTE SENSING
    Zhao Wenbo Liu Jian Huazhong University of Science and Technology Wuhan China Li Xiaowen institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China
    Journal of Electronics, 2005, (04) : 357 - 363
  • [2] COMPUTING RESOURCE SHARING IN GROUND SYSTEM OF MULTI-SATELLITE AND MULTI-SENSOR REMOTE SENSING
    Zhao Wenbo Liu Jian (Huazhong University of Science and Technology
    Journal of Electronics(China), 2005, (04) : 357 - 363
  • [3] Multi-sensor Remote Sensing Technologies in Water System Management
    Shu Shihu
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT A, 2011, 10 : 152 - 157
  • [4] Application of Multi-Sensor Based Image Modeling in Ocean Remote Sensing
    Wang, Shasha
    Sun, Lin
    Gao, Yuan
    Cheng, Ruihan
    JOURNAL OF COASTAL RESEARCH, 2020, : 125 - 128
  • [5] Multi-sensor remote sensing image alignment based on fast algorithms
    Shu, Tao
    JOURNAL OF INTELLIGENT SYSTEMS, 2023, 32 (01)
  • [6] Snow cover remote sensing with multi-sensor data
    Liu, YJ
    Wang, LB
    Yuan, WP
    HYPERSPECTRAL REMOTE SENSING OF THE LAND AND ATMOSPHERE, 2001, 4151 : 246 - 255
  • [7] Multi-sensor image fusion for pansharpening in remote sensing
    Ehlers, Manfred
    Klonus, Sascha
    Astrand, Par Johan
    Rosso, Pablo
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2010, 1 (01) : 25 - 45
  • [8] Multi-sensor remote sensing for obtaining geographical information
    van den Broek, AC
    Hoogeboom, P
    van Persie, M
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1330 - 1332
  • [9] Multi-sensor remote sensing image change detection based on sorted histograms
    Wan, L.
    Zhang, T.
    You, H. J.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (11) : 3753 - 3775
  • [10] Joint Positioning of Multi-sensor SAR Remote Sensing Imagery Based on RFM
    Wu Yingdan
    Ming Yang
    Zhu Yongsong
    INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (09): : 3741 - 3748