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Remote sensing of spectral signatures of tropospheric aerosols

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Abstract

With the launch of the German Aerospace Agency's (DLR) Modular Opto-electronic Scanner (MOS) sensor on board the Indian Remote Sensing satellite (IRS-P3) launched by the Indian Space Research Organization (ISRO) in March 1996, 13 channel multi-spectral data in the range of 408 to 1010 nm at high radiometric resolution, precision, and with narrow spectral bands have been available for a variety of land, atmospheric and oceanic studies. We found that these data are best for validation of radiative transfer model and the corresponding code developed by one of the authors at Space Applications Centre, and called ATMRAD (abbreviated for ATMospheric RADiation). Once this model/code is validated, it can be used for retrieving information on tropospheric aerosols over ocean or land. This paper deals with two clear objectives, viz.,

  1. 1

    Validation of ATMRAD model/code using MOS data and synchronously measured atmospheric data, and if found performing well, then to

  2. 2

    derive relationship between MOS radiances and Aerosol Optical Thickness (AOT).

The data validation procedure essentially involves

  • •near-synchronous measurements of columnar aerosol optical thickness and altitude profiles of aerosol concentration using ground-based multi-filter solar radiometers and Argon-ion Lidar, respectively and

  • •computation of the top-of-the-atmosphere (TOA) radiances from a low reflecting target (near clear water reservoir in the present study) using the ATMRAD model.

The results show that the model performance is satisfactory and a relationship between the spectral parameters of MOS radiances and aerosol optical thickness can be established. In this communication, we present the details of the experiments conducted, database, validation of the ATMRAD model and development of the relationship between AOT and MOS radiance.

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Potdar, M.B., Sharma, S.A., Parikh, V.Y. et al. Remote sensing of spectral signatures of tropospheric aerosols. J Earth Syst Sci 113, 103–116 (2004). https://doi.org/10.1007/BF02702002

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  • DOI: https://doi.org/10.1007/BF02702002

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