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Improved MODIS aerosol retrieval usi...

City University of New York., Engineering.

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Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes./
Author:	Oo, Min Min.
Description:	158 p.
Notes:	Adviser: Barry M. Gross.
Contained By:	Dissertation Abstracts International70-02B.
Subject:	Atmospheric Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3344990
ISBN:	9781109052282

Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes.
Oo, Min Min.

Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes. - 158 p.

Adviser: Barry M. Gross.

Thesis (Ph.D.)--City University of New York, 2009.

Determination of Aerosol Optical Depth (AOD) by satellite remote sensing measurements over land is complicated by the fact that the Top of Atmosphere (TOA) reflectance is a combination of the desired atmospheric path reflectance as well as the ground reflectance. Unfortunately, inaccurate surface modeling results in inaccurate AOD retrieval as well as reducing spatial resolution. In this thesis, the primarily focus is on the use of simultaneous MODIS and AERONET sky radiometer data to refine the surface albedo models regionally and improve on the current AOD operational retrieval. In particular, it is shown that the correlation coefficient assumption used in the MODIS Collection (5) model between the VIS and SWIR channels used for surface reflection parameterization in urban areas such as New York and Mexico City is severely underestimated. This is demonstrated both directly using high spatial imagery data from Hyperion and indirectly by constraining MODIS TOA reflection data with AERONET Sky radiometer AOD retrievals. Especially, the combining of the satellite and radiometer measurements allows to generate a regional VIS/SWIR surface reflectance correlation coefficient map at spatial resolutions up to 1.5km is shown. Application of the regional VIS/SWIR surface reflectance ratio model is shown to completely remove the bias and reduce uncertainty at the operational resolution of 10km as well as at higher resolutions to 1.5km resolution. Finally, spatial AOD retrievals using the surface albedo model are developed within the MODIS operational software showing the reduction in artificial AOD hotspots. Moreover, validation of MODIS derived AOD over vegetated area, located at Billerica-Massachusetts in this experiment, is discussed. We found that there is also slight error in MODIS surface reflectance assumption over the vegetated area. We suggest a new MVI-VIS/SWIR surface model for both urban and vegetated area and show improvement in AOD retrieval. In addition, the angular dependence of the surface albedo is explored. In particular, it is found that the correlation coefficients are insensitive to scattering angle as expected MODIS and errors in using a Lambertian assumption are shown to be less than the errors associated in the albedo variability.

ISBN: 9781109052282Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes.
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035 $a (UMI)AAI3344990
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100 1 $a Oo, Min Min. $3 1019500
245 1 0 $a Improved MODIS aerosol retrieval using modified VIS/SWIR surface albedo ratios over urban scenes.
300 $a 158 p.
500 $a Adviser: Barry M. Gross.
500 $a Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 0896.
502 $a Thesis (Ph.D.)--City University of New York, 2009.
520 $a Determination of Aerosol Optical Depth (AOD) by satellite remote sensing measurements over land is complicated by the fact that the Top of Atmosphere (TOA) reflectance is a combination of the desired atmospheric path reflectance as well as the ground reflectance. Unfortunately, inaccurate surface modeling results in inaccurate AOD retrieval as well as reducing spatial resolution. In this thesis, the primarily focus is on the use of simultaneous MODIS and AERONET sky radiometer data to refine the surface albedo models regionally and improve on the current AOD operational retrieval. In particular, it is shown that the correlation coefficient assumption used in the MODIS Collection (5) model between the VIS and SWIR channels used for surface reflection parameterization in urban areas such as New York and Mexico City is severely underestimated. This is demonstrated both directly using high spatial imagery data from Hyperion and indirectly by constraining MODIS TOA reflection data with AERONET Sky radiometer AOD retrievals. Especially, the combining of the satellite and radiometer measurements allows to generate a regional VIS/SWIR surface reflectance correlation coefficient map at spatial resolutions up to 1.5km is shown. Application of the regional VIS/SWIR surface reflectance ratio model is shown to completely remove the bias and reduce uncertainty at the operational resolution of 10km as well as at higher resolutions to 1.5km resolution. Finally, spatial AOD retrievals using the surface albedo model are developed within the MODIS operational software showing the reduction in artificial AOD hotspots. Moreover, validation of MODIS derived AOD over vegetated area, located at Billerica-Massachusetts in this experiment, is discussed. We found that there is also slight error in MODIS surface reflectance assumption over the vegetated area. We suggest a new MVI-VIS/SWIR surface model for both urban and vegetated area and show improvement in AOD retrieval. In addition, the angular dependence of the surface albedo is explored. In particular, it is found that the correlation coefficients are insensitive to scattering angle as expected MODIS and errors in using a Lambertian assumption are shown to be less than the errors associated in the albedo variability.
590 $a School code: 0046.
650 4 $a Atmospheric Sciences. $3 1019179
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Remote Sensing. $3 1018559
690 $a 0544
690 $a 0725
690 $a 0775
690 $a 0799
710 2 $a City University of New York. $b Engineering. $3 1018405
773 0 $t Dissertation Abstracts International $g 70-02B.
790 $a 0046
790 1 0 $a Ahmed, Samir $e committee member
790 1 0 $a Chowdhary, Jacek $e committee member
790 1 0 $a Gilerson, Alex $e committee member
790 1 0 $a Gross, Barry M., $e advisor
790 1 0 $a Moshary, Fred $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3344990