A consolidated technique for enhancing desert dust storms with MODIS

被引:125
作者
Miller, SD [1 ]
机构
[1] USN, Res Lab, Monterey, CA 93943 USA
关键词
D O I
10.1029/2003GL018279
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A new satellite-based multispectral passive radiometer technique for daytime enhancement of airborne dust over water and land has been developed. The algorithm, which combines color information from multiple visible channels with near and far infrared measurements, provides an improved ability to distinguish areas of dust from water/ice clouds and bright desert backgrounds in enhanced false-color imagery. While generally applicable to any sensor possessing the requisite spectral information, the method is demonstrated here using high spatial and spectral resolution digital data from the Moderate Imaging Spectroradiometer (MODIS) instruments carried aboard Earth Observing System (EOS) Terra and Aqua polar orbiter platforms.
引用
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页码:ASC12 / 1
页数:4
相关论文
共 17 条
[2]   Remote sensing aerosols using satellite infrared observations [J].
Ackerman, SA .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D14) :17069-17079
[3]  
CANTU R, 2001, THESIS NAVAL POSTGRA
[4]  
DENTREMONT RP, 1987, B AM METEOROL SOC, V68, P762, DOI 10.1175/1520-0477(1987)068<0762:IMSIUA>2.0.CO
[5]  
2
[6]   Correction of thin cirrus path radiances in the 0.4-1.0 μm spectral region using the sensitive 1.375 μm cirrus detecting channel [J].
Gao, BC ;
Kaufman, YJ ;
Han, W ;
Wiscombe, WJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D24) :32169-32176
[7]  
HILLGER DW, 2002, J APPL METEOROL
[8]   ON THE TEMPERATURE AND EFFECTIVE EMISSIVITY DETERMINATION OF SEMI-TRANSPARENT CIRRUS CLOUDS BY BI-SPECTRAL MEASUREMENTS IN THE 10 MU-M WINDOW REGION [J].
INOUE, T .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1985, 63 (01) :88-99
[9]   REMOTE-SENSING OF CLOUD, AEROSOL, AND WATER-VAPOR PROPERTIES FROM THE MODERATE RESOLUTION IMAGING SPECTROMETER (MODIS) [J].
KING, MD ;
KAUFMAN, YJ ;
MENZEL, WP ;
TANRE, D .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (01) :2-27
[10]  
LEE TF, 1989, WEATHER FORECAST, V4, P258, DOI DOI 10.1175/1520-0434(1989)004<0258:DTUCVI>2.0.CO