QX/T 267-2015 in English

VALID

Technical guidelines for satellite remote sensing products of fog

Issued on:2015-01-26
Implemented on:2015-05-01
File Format:PDF
Delivery:Via email within 1~3 business days

Price(USD)： $500.00
$485.00

Standard No:	QX/T 267-2015
Document status:	VALID
Title in English:	Technical guidelines for satellite remote sensing products of fog
Title in Chinese:	卫星遥感雾监测产品制作技术导则
Language:	English
File Format:	Electronic (PDF)
Delivery:	Via email within 1~3 business days
Issued on:	2015-01-26
Implemented on:	2015-05-01
Chinese Classification:	A47-Meteorology
Professional Classification:	QX-Meteorology
Related Keywords:	standard technical elements daytime land fog daytime sea fog nighttime fog key channels visible sea fog δt≤8k fog introduction analysis night fog recognition algorithm fog identification algorithm system reflectivity threshold
Related Topics:	Remote sensing monitoring basis satellite monitoring station fog monitoring hj/t 267 satellite monitoring station Technical Guidelines for Satellite Remote Sensing Flood Monitoring Ocean Monitoring Technical Regulations Part 7 Satellite Remote Sensing Technical Methods Technical Guidelines for Production of Satellite Remote Sensing Fog Monitoring Products Satellite Monitoring Fog Guidelines for Fog Remote Sensing Monitoring satellite peak effect foreign remote sensing technology Satellite tank action remote sensing telemetry microsatellite technology Monitoring products QX Guidelines for Fog Remote Sensing Monitoring Telemetry and remote sensing Telemetry and remote sensing satellite telemetry system Technical Guidelines for Unorganized Surveillance The role of satellite peaks satellite monitor Motor Vehicle Remote Sensing Monitoring Satellite communications remote sensing navigation standards Tea Garden Remote Sensing Monitoring Technology Soil and Water Conservation Remote Sensing Monitoring Technology Linyi Satellite Remote Sensing Monitoring System Rizhao satellite remote sensing monitoring system Weifang Satellite Remote Sensing Monitoring System Zaozhuang Satellite Remote Sensing Monitoring System Weihai Satellite Remote Sensing Monitoring System American ginseng satellite remote sensing monitoring technology Yantai Satellite Remote Sensing Monitoring System Water quality remote sensing monitoring technology my country's remote sensing monitoring Remote sensing calibration technology Heze satellite remote sensing monitoring system Satellite remote sensing measurements Oil mist monitoring American remote sensing technology Satellite remote sensing related standards Remote sensing monitoring technology for mineral resources development What are the remote sensing monitoring standards? hj /t 267 qx/t-264-2015 Atmospheric satellite remote sensing monitoring

Introduction

Analysis of the core content of the standard

Technical elements	Daytime land fog	Daytime sea fog	Nighttime fog
Key channels	Visible light + short-wave infrared	Medium-wave infrared + water vapor channel	Medium infrared + far infrared
Discrimination threshold	NDST∈(-0.2,0.05)	ΔT≤8K(winter)	ΔT≤3K
Typical instruments	MERSI	AVHRR	VIIRS

Key Technical Points

1. Multi-source satellite data fusion

The standard requires the use of visible light (0.58-0.68μm), shortwave infrared (1.58-1.64μm), and mid-infrared (3.5-4.0μm) channel data from satellites such as FY-3/MODIS/NOAA, and joint identification through NDST (Normalized Difference Snow Cover Index) and NDVI (Normalized Difference Vegetation Index).

2. Fog Identification Algorithm System

Reflectivity Threshold: Clear sky land R_vis≤0.25, vegetation area ≤0.2
Brightness temperature difference criterion: Land fog ΔT_11-12≤6K, sea fog ΔT≤8K (winter)
Spectral characteristics: Must meet the dual conditions of NDST and NDVI

Product Production Specifications

Real-time Product Production Process

Channel synthesis: Shortwave infrared + near infrared + visible light three-channel RGB synthesis is preferred
Geographical reference: Administrative division marking is carried out in accordance with GB/T 2260-2007
Enhanced display: Color enhancement of foggy areas in binary images

Recommendations for standard implementation

Typical application scenarios

In the application of FY-4A satellite data, special attention should be paid to the correction of the monthly average sea temperature (T_anw) of the 3.5-4.0μm channel. When the fog top brightness temperature T₁₁＞298K, the night fog recognition algorithm should be activated.

Technical evolution direction

The new generation of VIIRS instruments has added a 1.37-1.39μm water vapor channel, which can improve the accuracy of mist recognition by 15%

More samples: JGJ 94-2008 DL/T 5154-2012 DL/T 368-2010

Sample only — not a preview of QX/T 267-2015

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