MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring

Kwon H. Lee, Dong H. Lee, Young J. Kim, Jhoon Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Atmospheric aerosol optical thickness (AOT) was retrieved over urban areas using moderate resolution imaging spectroradiometer (MODIS) 500-m resolution calibrated radiance data. A modifi ed Bremen Aerosol Retrieval (BAER) algorithm was used to retrieve AOT over Seoul, Korea. Since the surface refl ectance of an urban area is typically brighter than that of vegetation or soil areas in the visible wavelength region, the error associated with aerosol retrieval is higher. Surface refl ectance determination using the linear mixing model (LMM) produced values that were smaller (~0.02) than those obtained using the minimum refl ectance technique (MRT). This difference would lead to an overestimated AOT when using the LMM approach. Retrieved AOT data using MRT and standard MODIS 10-km aerosol products (MOD04) were compared to Rotating Shadow-band Radiometer (RSR) observations at Yonsei University, Seoul, Korea. Regression analysis showed that the root mean square error (RMSE) of MODIS AOT and MOD04 AOT was 0.05 in both cases. In addition, MODIS AOT data were compared with ground-based particulate matter data (PM10) from air quality monitoring networks of the National Institute of Environmental Research (NIER). MODIS AOT data showed a relatively low correlation (r=0.41) with surface PM10 mass concentration data due to differences in ground-based and column-averaged data, variability of terrain, and MODIS cloud mask. This result is similar to that of other investigations. The application of fi ne-resolution satellite data supports the feasibility of local and urban-scale air quality monitoring. Keywords: AOT, LMM, MODIS, MRT, PM10

Original languageEnglish
Title of host publicationAdvanced Environmental Monitoring
PublisherSpringer Netherlands
Pages217-230
Number of pages14
ISBN (Print)9781402063633
DOIs
Publication statusPublished - 2008 Dec 1

Fingerprint

MODIS
aerosol
air quality monitoring
urban area
environmental research
radiance
radiometer
particulate matter
satellite data
regression analysis
wavelength
vegetation

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

Lee, K. H., Lee, D. H., Kim, Y. J., & Kim, J. (2008). MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring. In Advanced Environmental Monitoring (pp. 217-230). Springer Netherlands. https://doi.org/10.1007/978-1-4020-6364-0_17
Lee, Kwon H. ; Lee, Dong H. ; Kim, Young J. ; Kim, Jhoon. / MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring. Advanced Environmental Monitoring. Springer Netherlands, 2008. pp. 217-230
@inbook{83174d35d2334b7a9999233deb65bae1,
title = "MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring",
abstract = "Atmospheric aerosol optical thickness (AOT) was retrieved over urban areas using moderate resolution imaging spectroradiometer (MODIS) 500-m resolution calibrated radiance data. A modifi ed Bremen Aerosol Retrieval (BAER) algorithm was used to retrieve AOT over Seoul, Korea. Since the surface refl ectance of an urban area is typically brighter than that of vegetation or soil areas in the visible wavelength region, the error associated with aerosol retrieval is higher. Surface refl ectance determination using the linear mixing model (LMM) produced values that were smaller (~0.02) than those obtained using the minimum refl ectance technique (MRT). This difference would lead to an overestimated AOT when using the LMM approach. Retrieved AOT data using MRT and standard MODIS 10-km aerosol products (MOD04) were compared to Rotating Shadow-band Radiometer (RSR) observations at Yonsei University, Seoul, Korea. Regression analysis showed that the root mean square error (RMSE) of MODIS AOT and MOD04 AOT was 0.05 in both cases. In addition, MODIS AOT data were compared with ground-based particulate matter data (PM10) from air quality monitoring networks of the National Institute of Environmental Research (NIER). MODIS AOT data showed a relatively low correlation (r=0.41) with surface PM10 mass concentration data due to differences in ground-based and column-averaged data, variability of terrain, and MODIS cloud mask. This result is similar to that of other investigations. The application of fi ne-resolution satellite data supports the feasibility of local and urban-scale air quality monitoring. Keywords: AOT, LMM, MODIS, MRT, PM10",
author = "Lee, {Kwon H.} and Lee, {Dong H.} and Kim, {Young J.} and Jhoon Kim",
year = "2008",
month = "12",
day = "1",
doi = "10.1007/978-1-4020-6364-0_17",
language = "English",
isbn = "9781402063633",
pages = "217--230",
booktitle = "Advanced Environmental Monitoring",
publisher = "Springer Netherlands",
address = "Netherlands",

}

MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring. / Lee, Kwon H.; Lee, Dong H.; Kim, Young J.; Kim, Jhoon.

Advanced Environmental Monitoring. Springer Netherlands, 2008. p. 217-230.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - MODIS 500 × 500-m2 resolution aerosol optical thickness retrieval and its application for air quality monitoring

AU - Lee, Kwon H.

AU - Lee, Dong H.

AU - Kim, Young J.

AU - Kim, Jhoon

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Atmospheric aerosol optical thickness (AOT) was retrieved over urban areas using moderate resolution imaging spectroradiometer (MODIS) 500-m resolution calibrated radiance data. A modifi ed Bremen Aerosol Retrieval (BAER) algorithm was used to retrieve AOT over Seoul, Korea. Since the surface refl ectance of an urban area is typically brighter than that of vegetation or soil areas in the visible wavelength region, the error associated with aerosol retrieval is higher. Surface refl ectance determination using the linear mixing model (LMM) produced values that were smaller (~0.02) than those obtained using the minimum refl ectance technique (MRT). This difference would lead to an overestimated AOT when using the LMM approach. Retrieved AOT data using MRT and standard MODIS 10-km aerosol products (MOD04) were compared to Rotating Shadow-band Radiometer (RSR) observations at Yonsei University, Seoul, Korea. Regression analysis showed that the root mean square error (RMSE) of MODIS AOT and MOD04 AOT was 0.05 in both cases. In addition, MODIS AOT data were compared with ground-based particulate matter data (PM10) from air quality monitoring networks of the National Institute of Environmental Research (NIER). MODIS AOT data showed a relatively low correlation (r=0.41) with surface PM10 mass concentration data due to differences in ground-based and column-averaged data, variability of terrain, and MODIS cloud mask. This result is similar to that of other investigations. The application of fi ne-resolution satellite data supports the feasibility of local and urban-scale air quality monitoring. Keywords: AOT, LMM, MODIS, MRT, PM10

AB - Atmospheric aerosol optical thickness (AOT) was retrieved over urban areas using moderate resolution imaging spectroradiometer (MODIS) 500-m resolution calibrated radiance data. A modifi ed Bremen Aerosol Retrieval (BAER) algorithm was used to retrieve AOT over Seoul, Korea. Since the surface refl ectance of an urban area is typically brighter than that of vegetation or soil areas in the visible wavelength region, the error associated with aerosol retrieval is higher. Surface refl ectance determination using the linear mixing model (LMM) produced values that were smaller (~0.02) than those obtained using the minimum refl ectance technique (MRT). This difference would lead to an overestimated AOT when using the LMM approach. Retrieved AOT data using MRT and standard MODIS 10-km aerosol products (MOD04) were compared to Rotating Shadow-band Radiometer (RSR) observations at Yonsei University, Seoul, Korea. Regression analysis showed that the root mean square error (RMSE) of MODIS AOT and MOD04 AOT was 0.05 in both cases. In addition, MODIS AOT data were compared with ground-based particulate matter data (PM10) from air quality monitoring networks of the National Institute of Environmental Research (NIER). MODIS AOT data showed a relatively low correlation (r=0.41) with surface PM10 mass concentration data due to differences in ground-based and column-averaged data, variability of terrain, and MODIS cloud mask. This result is similar to that of other investigations. The application of fi ne-resolution satellite data supports the feasibility of local and urban-scale air quality monitoring. Keywords: AOT, LMM, MODIS, MRT, PM10

UR - http://www.scopus.com/inward/record.url?scp=84874648053&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874648053&partnerID=8YFLogxK

U2 - 10.1007/978-1-4020-6364-0_17

DO - 10.1007/978-1-4020-6364-0_17

M3 - Chapter

AN - SCOPUS:84874648053

SN - 9781402063633

SP - 217

EP - 230

BT - Advanced Environmental Monitoring

PB - Springer Netherlands

ER -