Aerosol and BRDF/albedo inversion over land from MSG/SEVIRI data

Yingjie Li; Yong Xue; Chi Li; Leiku Yang; Tingting Hou; Jia Liu

doi:10.1109/IGARSS.2012.6350347

Aerosol and BRDF/albedo inversion over land from MSG/SEVIRI data

Yingjie Li, Yong Xue, Chi Li, Leiku Yang, Tingting Hou, Jia Liu

Department of Energy, Environmental & Chemical Engineering

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

Abstract

A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented and applied to Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI) data. Based on the assumptions that the surface bidirectional reflective property are not varying during one day and aerosol characteristics are constant in 2 × 2 window, we inverse the aerosol optical depth (AOD) and bidirectional reflectance distribution function (BRDF) parameters. Preliminary validation shows good accuracy. The correlation coefficient R² is 0.84, the root-mean-square error is about 0.05, and the uncertainty is found to be Δτ= ± 0.05 ± 0.15τ. Comparing with MODIS products, our inversion are consistent very well. The algorithm is flexible and appropriate for aerosol retrieval over both dark and bright land surface. It is potential to retrieve AOD with a high-frequency over land and to monitor aerosol's local spatio-temporal variation from the geostationary satellite data.

Original language	English
Pages	2490-2493
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6350347
State	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: Jul 22 2012 → Jul 27 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	07/22/12 → 07/27/12

Keywords

aerosol optical depth (AOD)
bidirectional reflectance distribution function (BRDF)
geostationary satellite
remote sensing inversion
time series

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10.1109/IGARSS.2012.6350347

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title = "Aerosol and BRDF/albedo inversion over land from MSG/SEVIRI data",

abstract = "A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented and applied to Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI) data. Based on the assumptions that the surface bidirectional reflective property are not varying during one day and aerosol characteristics are constant in 2 × 2 window, we inverse the aerosol optical depth (AOD) and bidirectional reflectance distribution function (BRDF) parameters. Preliminary validation shows good accuracy. The correlation coefficient R2 is 0.84, the root-mean-square error is about 0.05, and the uncertainty is found to be Δτ= ± 0.05 ± 0.15τ. Comparing with MODIS products, our inversion are consistent very well. The algorithm is flexible and appropriate for aerosol retrieval over both dark and bright land surface. It is potential to retrieve AOD with a high-frequency over land and to monitor aerosol's local spatio-temporal variation from the geostationary satellite data.",

keywords = "aerosol optical depth (AOD), bidirectional reflectance distribution function (BRDF), geostationary satellite, remote sensing inversion, time series",

author = "Yingjie Li and Yong Xue and Chi Li and Leiku Yang and Tingting Hou and Jia Liu",

year = "2012",

doi = "10.1109/IGARSS.2012.6350347",

language = "English",

pages = "2490--2493",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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T1 - Aerosol and BRDF/albedo inversion over land from MSG/SEVIRI data

AU - Li, Yingjie

AU - Xue, Yong

AU - Li, Chi

AU - Yang, Leiku

AU - Hou, Tingting

AU - Liu, Jia

PY - 2012

Y1 - 2012

N2 - A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented and applied to Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI) data. Based on the assumptions that the surface bidirectional reflective property are not varying during one day and aerosol characteristics are constant in 2 × 2 window, we inverse the aerosol optical depth (AOD) and bidirectional reflectance distribution function (BRDF) parameters. Preliminary validation shows good accuracy. The correlation coefficient R2 is 0.84, the root-mean-square error is about 0.05, and the uncertainty is found to be Δτ= ± 0.05 ± 0.15τ. Comparing with MODIS products, our inversion are consistent very well. The algorithm is flexible and appropriate for aerosol retrieval over both dark and bright land surface. It is potential to retrieve AOD with a high-frequency over land and to monitor aerosol's local spatio-temporal variation from the geostationary satellite data.

AB - A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented and applied to Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager (MSG/SEVIRI) data. Based on the assumptions that the surface bidirectional reflective property are not varying during one day and aerosol characteristics are constant in 2 × 2 window, we inverse the aerosol optical depth (AOD) and bidirectional reflectance distribution function (BRDF) parameters. Preliminary validation shows good accuracy. The correlation coefficient R2 is 0.84, the root-mean-square error is about 0.05, and the uncertainty is found to be Δτ= ± 0.05 ± 0.15τ. Comparing with MODIS products, our inversion are consistent very well. The algorithm is flexible and appropriate for aerosol retrieval over both dark and bright land surface. It is potential to retrieve AOD with a high-frequency over land and to monitor aerosol's local spatio-temporal variation from the geostationary satellite data.

KW - aerosol optical depth (AOD)

KW - bidirectional reflectance distribution function (BRDF)

KW - geostationary satellite

KW - remote sensing inversion

KW - time series

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DO - 10.1109/IGARSS.2012.6350347

M3 - Paper

AN - SCOPUS:84873137886

SP - 2490

EP - 2493

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Aerosol and BRDF/albedo inversion over land from MSG/SEVIRI data

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Keywords

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