Aerosol optical thickness (AOT) retrieval over land using satellite image-based algorithm

Hadjimitsis, Diofantos G.

doi:10.1007/s11869-009-0036-0

Cited by 37 publications

(20 citation statements)

References 28 publications

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“…The atmospheric reflectance was then related to the PM10 using the regression algorithm analysis. The algorithm of AOT for single band or wavelength (λ) is simplified as [13,17]: AOT (λ) = an R (λ)... (4) Equation (4) is rewritten into multiband equation as:…”

Section: Qcal = Quantized and Calibrated Standard Product Pixel Valuementioning

confidence: 99%

“…MODIS images were widely used for monitoring, mapping and estimating of pm10 concentration [13]. Due to the limitations of using MODIS data include coarse MODIS spatial resolution, variation of correlation coefficients between MODIS product and PM concentration depending on the location [6] and weak correlation coefficients between MODIS product and PM concentration, air pollution researchers were looking for a more suitable satellite data.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Saleh¹,

Hasan²

2014

J Geophys Remote Sens

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The aim of this work is to produce an empirical model for the determination of particulate matter (PM10) concentration in the atmosphere using visible bands of Landsat 8 OLI satellite image over Kirkuk city-Iraq.The suggested algorithm is established on the aerosol optical reflectance model. The reflectance model is a function of the optical properties of the atmosphere, which can be related to its concentrations.The concentration of PM10 measurements was collected using Particle Mass Profiler and Counter in a Single Handheld Unit (Aerocet 531) meter simultaneously by the Landsat 8 OLI satellite image date. The PM10 measurement locations were defined by a handheld global positioning system (GPS).The obtained reflectance values for visible bands (Coastal aerosol, Blue, Green and blue bands) of landsat 8 OLI image were correlated with in-suite measured PM10.The feasibility of the proposed algorithms was investigated based on the correlation coefficient (R) and rootmean-square error (RMSE) compared with the PM10 ground measurement data. A choice of our proposed multispectral model was founded on the highest value correlation coefficient (R) and lowest value of the root mean square error (RMSE) with PM10 ground data. The outcomes of this research showed that visible bands of Landsat 8 OLI were capable of calculating PM10 concentration to an acceptable level of accuracy.

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Section: Qcal = Quantized and Calibrated Standard Product Pixel Valuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Saleh¹,

Hasan²

2014

J Geophys Remote Sens

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“…The drawbacks of ground-level monitoring mentioned above have led to an ongoing exploration for PM estimation with remote sensing techniques (Benas et al, 2013), which has the following advantages. Firstly, the image derived from satellite could provide complete and general information air quality anywhere in the world (Hadjimitsis, 2009). Secondly, because satellite provides the opportunity to acquire global air quality, it also became possible to discover the source of urban air pollutants and even global transportation of air pollutants.…”

Section: Introductionmentioning

confidence: 99%

Estimating PM2.5 in the Beijing-Tianjin-Hebei Region Using Modis Aod Products From 2014 to 2015

Li¹,

Wang²,

Chen³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Fine particulate matter with a diameter less than 2.5 μm (PM2.5) has harmful impacts on regional climate, economic development and public health. The high PM2.5 concentrations in China's urban areas are mainly caused by the combustion of coal and gasoline, industrial pollution and unknown/uncertain sources. The Beijing-Tianjin-Hebei (BTH) region with a land area of 218,000 km 2 , which contains 13 cities, is the biggest urbanized region in northern China. The huge population (110 million, 8% of the China's population), local heavy industries and vehicle emissions have resulted in severe air pollution. Traditional models have used 10 km Moderateresolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) products and proved the statistical relationship between AOD and PM2.5. In 2014, the 3 km MODIS AOD product was released which made PM2.5 estimations with a higher resolution became possible. This study presents an estimation on PM2.5 distributions in the BTH region from September 2014 to August 2015 by combining the MODIS satellite data, ground measurements of PM2.5, meteorological parameters and social-economic factors based on the geographically weighted regression model. The results demonstrated that the 10 km AOD product provided results with a slightly higher accuracy although the 3 km AOD product could provide more information about the spatial variations of PM2.5 estimations. Additionally, compared with the global regression, the geographically weighed model was able to improve the estimation results.

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“…Satellite remote sensing is certainly a valuable tool for assessing and mapping air pollution due to their major benefit of providing complete and synoptic views of large areas in one image on a systematic basis due to the good temporal resolution of various satellite sensors [4,5,6,7,8]. Most of satellite images provides directly such as MODIS and indirectly such as Landsat TM measurements of the aerosol optical thickness (AOT) which expresses the degree to which aerosols prevent the transmission of light and comprise an indicative parameter for assessing air pollution.…”

Section: Introductionmentioning

confidence: 99%

Satellite remote sensing, GIS and sun-photometers for monitoring PM 10 in Cyprus: issues on public health

et al. 2010

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PM 10 and PM 2.5 particles are very significant issues for the public health of the community. Such parameters are measured from air-pollution stations that are scarcely distributed in the Cyprus region. Satellite remote sensing can provide synoptic coverage of the Cyprus area either daily from MODIS sensor or every 16 days from Landsat. Sunphotometers are used to measure the aerosol optical thickness (AOT) on ground during the satellite overpass. Several different campaigns have been made both for two urban areas in Paphos and Limassol area. For the period 28/10/09 -30/12/09, the regression analysis between PM 10 and ΡΜ 2.5 for the Paphos town (central) gave coefficient of determination of R 2 =0,78 and R 2 =0,61 respectively. Coefficient of determination R 2 =0.61 was found for the period May-June 2009 for the centre of Limassol when PM10 was regressed against AOT measured from MICROTOPS handheld sun-photometer. The AOT data retrieved from MODIS AOT (at 550 nm) and CIMEL sun-photometer (AERONET) also provided a high correlation (r=0.9, R 2 = 0.81) for the centre of Limassol for April to July 2010 measurements. Results obtained by correlating MODIS AOT (at 550 nm) against hand-held MICROTOPS sun-photometer in the centre of Limassol for the period January 2009 to March 2010 gave R 2 =0,81. Using the PM 10 limit of 50μg/m 3 as prescribed by the European Union and the regression model found for the Limassol area, a threshold value of AOT for this area of 0.6 was found. Such value can be used as threshold AOT values for alerts either using the MODIS or Landsat satellite imagery. An example of how a GIS can provide temporal variations of AOT over the Cyprus area is shown.

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Aerosol optical thickness (AOT) retrieval over land using satellite image-based algorithm

Cited by 37 publications

References 28 publications

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Estimating PM2.5 in the Beijing-Tianjin-Hebei Region Using Modis Aod Products From 2014 to 2015

Satellite remote sensing, GIS and sun-photometers for monitoring PM 10 in Cyprus: issues on public health

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