AUTOMATIC CLOUD DETECTION APPLIED TO NOAA-11/AVHRR IMAGERY

被引：147

作者：

DERRIEN, M ^{[1
]}

FARKI, B ^{[1
]}

HARANG, L ^{[1
]}

LEGLEAU, H ^{[1
]}

NOYALET, A ^{[1
]}

POCHIC, D ^{[1
]}

SAIROUNI, A ^{[1
]}

机构：

[1] METEO FRANCE,CTR METEOROL SPATIALE,F-22302 LANNION,FRANCE

来源：

REMOTE SENSING OF ENVIRONMENT | 1993年 / 46卷 / 03期

关键词：

D O I：

10.1016/0034-4257(93)90046-Z

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The imagery from the AVHRR on board NOAA polar orbiting satellites allows a description of cloud cover, oceanic, and continental surfaces that is used by Meteo-France for nowcasting activities and as input for numerical weather prediction models (NWP). A real-time processing scheme has been designed at the Centre de meteorologie Spatiale (CMS) in Lannion to extract cloud cover and surface parameters from NOAA-11 AVHRR imagery received at CMS. The key step of this scheme is cloud detection. It is based upon threshold tests applied to different combinations of channels. Its main originality is its complete automation by the computation of the 11 mu m infrared threshold from a monthly sea surface temperature (SST) climatology over the oceans and from air temperature (near the surface) forecast by NWP over land. A special test has been implemented to detect cloud edges and subpixel clouds over continental su?faces during daytime. It is applied daily in deferred time only to compute normalized difference vegetation index (NDVI). This scheme has been used operationally since February 1990, and its quality has been checked. It has enabled the routine production of various products. A nighttime cloud classification is sent to all French forecasters; NDVI values are computed daily and used to map the vegetation cover; and SST and thermal fronts are derived operationally from nighttime imagery.

引用

页码：246 / 267

页数：22

共 32 条

[1] PRELAUNCH CALIBRATION OF THE NOAA-11 AVHRR VISIBLE AND NEAR IR CHANNELS [J].

ABEL, P .

REMOTE SENSING OF ENVIRONMENT, 1990, 31 (03) :227-229

[2]

ANTOINE JY, 1991, 5TH P AVHRR DAT US M, P41

[3] THE MULTISPECTRAL COLOR-COMPOSITE TECHNIQUE AN IMPROVED METHOD TO DISPLAY METEOROLOGICAL SATELLITE IMAGERY [J].

BELLEC, B ;

LEGLEAU, H .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1992, 13 (11) :1981-1998

[4] A COMPARISON OF CLASSIFICATION ALGORITHMS IN TERMS OF SPEED AND ACCURACY AFTER THE APPLICATION OF A POST-CLASSIFICATION MODAL FILTER [J].

BOOTH, DJ ;

OLDFIELD, RB .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1989, 10 (07) :1271-1276

[5]

BORDES P, 1992, J ATMOS OCEAN TECH, V9, P15, DOI 10.1175/1520-0426(1992)009<0015:AAOAN>2.0.CO

[6]

[7]

BRUNEL P, 1991, ESA, P61

[8] OPERATIONAL MEASUREMENT OF SEA-SURFACE TEMPERATURES AT CMS LANNION FROM NOAA-7 AVHRR DATA [J].

CASTAGNE, N ;

LEBORGNE, P ;

LEVOURCH, J ;

OLRY, JP .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1986, 7 (08) :953-984

[9]

CAYLA F, 1973, EERM319 MET FRANC IN

[10] VEGETATION COVER MAPPING OVER FRANCE USING NOAA-11/AVHRR [J].

DERRIEN, M ;

FARKI, B ;

LEGLEAU, H ;

SAIROUNI, A .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 1992, 13 (09) :1787-1795

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