Satellite detection of dust using the IR imagery of Meteosat 1. Infrared difference dust index
نویسندگان
چکیده
The Infrared Difference Dust Index (IDDI) is a satellite dust product designed for climatological applications, designed specifically for dust remote sensing in arid regions such as the Sahel and Sahara. It is based on the atmospheric response to dust, extracted from midday Meteosat-IR imagery, and takes advantage of the impact of dust aerosols on the thermal infra-red radiance outgoing to space. Simulations how a quasi-linear elationship between satellite response to dust and shortwave optical depth, with a sensitivity depending on particle size distribution and radiative surface properties. Comparison of measured satellite response with photometric optical depth agrees with the simulations. Water vapor significantly affects the satellite signal for cases of large columnar amounts and oceanic air masses advected inland. Hence apart from possible coastal effects, the water vapor effect can be neglected in the Sahelian-Saharan zone north of the Intertropical Convergence Zone, coinciding with the major regions of African dust emission and transport. The construction of the IDDI involves the processing of reference images, theoretically representing the outgoing radiance obtaining under clear-sky conditions. Errors may arise from (1) dust remaining in the reference images and (2) seasonal shifts of the reference level; however, the latter error will be offset by averaging used in climatological processing. An error budget is presented for the station of Gao. A statistical comparison of IDDI data with visibility measured at synoptic stations results in (1) a validation of the product, and (2) a climatologically relevant visibility-IDDI relation, valid for the arid regions of northem Africa. The latter relation is consistent with both simulations and photometric measurements. IDDI maps over Africa compare successfully with optical depth over adjacent ocean regions derived from Meteosat-VIS imagery. The observed continuity of dust plumes across the African coast demonstrates the consistency between both products.
منابع مشابه
Performance Evaluation of Detector Algorithms of Dust Storms in Arid Lands (Case Study: Yazd Province)
Introduction: In recent years, frequency and intensity of dust storms have been increased because of human destructive activities and caused significant loss in different aspects of hygienic and health, environmental and socio-economic sections. Therefore, detection and trace of dust storms in shortest time is the first effective step in preparation and implementation of strategic and operation...
متن کاملDust source mapping using satellite imagery and machine learning models
Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...
متن کاملSynoptic analysis and satellite monitoring dust phenomenon in Kermanshah province in 1987-2010 (case study: wide spread dust in 17 and 18 June 2009)
In this study, the dust situation in 6 synoptic stations of Kermanshah province was investigated in the period 1987-1992. To study this phenomenon, dust days were extracted in 2009 with code (06) from the current air index. Then data from different bar levels were taken from the National Oceanic and Atmospheric Organization (NCEP / NCAR) database and maps were plotted in the Grads software. Fin...
متن کاملThe Enhancement and Monitoring of Dust Events Based on Visible and Infrared Remote Sensing Techniques
In recent years, the frequency of dust pollution events in the Southwest of Iran are increased which caused huge damage and imposed a negative impacts on air quality, airport traffic and people daily life in local areas. In this study, two methods based on the analysis of satellite visible and infrared measurements have developed to enhancement and monitoring of dust events from origin source t...
متن کاملDetermining Area Affected by Dust Storms in Different Wind Speeds, Using Satellite Images
The aim of this study is to determine the area affected by dust storms in different wind speeds using satelliteimages. In the first step, windy conditions of the Sistan plain were analyzed using wind statistics data. Next, fivestormy days of Zabol city, indicating different wind speeds and horizontal visibilities during those storms, wereselected. Then, high temporal resolution MODIS data was u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007