Advertisement

Journal of Earth System Science

, Volume 113, Issue 1, pp 103–116 | Cite as

Remote sensing of spectral signatures of tropospheric aerosols

  • M. B. Potdar
  • S. A. Sharma
  • V. Y. Parikh
  • P. C. S. Devara
  • P. E. Raj
  • Y. K. Tiwari
  • R. S. Maheskumar
  • K. K. Dani
  • S. K. Saha
  • S. M. Sonbawne
  • Y. Jaya Rao
  • G. Pandithurai
Article

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.

Keywords

Land aerosols spectral signatures remote sensing IRS-P3 MOS data 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andrae M O 1995 Climate effects of changing atmospheric aerosol levels, In:World's Survey of Climatology (ed) A Henderson-Sellers (Elsevier) 341–392Google Scholar
  2. Chandrasekhar S 1960Radiative transfer; London (Oxford: Oxford University Press)Google Scholar
  3. Chahine M T 1983 Interaction mechanisms within the atmosphere; In:Manual of Remote Sensing Vol. 1, II Ed.; (American Society of Photogrammetry, USA)Google Scholar
  4. Charlson R J, Schwartz S E, Hales J M, Cess R D, Coakley Jr. J A, Hansen J E and Hoffmann D J 1992 Climate forcing by anthropogenic aerosol;Science 255 423–430CrossRefGoogle Scholar
  5. Clarke G L, Ewing G C and Lorenzen C J 1970 Spectra of back scattered light from the sea obtained from aircraft as a measure of chlorophyll concentrations;Science 167 1119–1121CrossRefGoogle Scholar
  6. Devara P C S and Raj P E 1987 A bistatic lidar for aerosol studies;IEEE Technical Review 4 412–415Google Scholar
  7. Devara P C S and Raj P E 1993 Lidar measurements of aerosols in the tropical atmosphere;Advances in Atmospheric Science 10 365–378CrossRefGoogle Scholar
  8. Devara P C S, Raj P E, Sharma S and Pandithurai G 1995a Real-time monitoring of atmospheric aerosols using computer controlled lidar;Atmospheric Environment 29 2205–2215CrossRefGoogle Scholar
  9. Devara P C S, Raj P E, Pandithurai G and Sharma S 1995b A high spectral resolution radiometer for atmospheric monitoring;Journal of Instrumentation Society of India 25 142–154Google Scholar
  10. Fisher K 1970 Measurements of absorption of visible radiation by aerosol particles;Atmospheric Physics 43 244Google Scholar
  11. Junge C E 1955 The size distribution and aging of natural aerosols as determined from electrical and optical data on the atmosphere;J. Meteorol. 12 13–25Google Scholar
  12. King M D, Byrne D M, Herman B M and Reagan J A 1978 Aerosol size distribution obtained by inversion of spectral optical depth measurements;J. Atmos. Sci. 35 2153–2167CrossRefGoogle Scholar
  13. Kneizys F X, Shettle E P, Gallexy W O, Chetwynd J H, Abreu L W, Selby J E A, Cough S A and Fenn R W 1983 Atmospheric transmittance/radiance: computer code LOWTRAN 6; Air Force Geophysical Laboratory, Hanscom Air Force Base, Massachusetts, USAGoogle Scholar
  14. McClatchey R A, Fenn R W, Selby J E A, Volz F E and Garing J S 1972 Optical properties of the atmosphere; AFCRL-72-0497, Air Force Cambridge Research Laboratories, BedfordGoogle Scholar
  15. McCartney E J 1976 Optics of the atmosphere: Scattering by molecules and particles (John Wiley and Sons)Google Scholar
  16. Neckel H and Labs D 1984 The solar radiation between 3300 and 12500 Angstroms;Solar Physics 90 205–258CrossRefGoogle Scholar
  17. Potdar M B 1987 Quasi-simple model of radiation transfer in the earth's hazy atmosphere for correction of remotely sensed data;Scientific Note:SAC/RSAG/LRD/01/87, Space Applications Centre, AhmedabadGoogle Scholar
  18. Potdar M B 1990 Modelling of radiation transfer in earth's hazy atmosphere and calculation of path radiances in IRS LISS-I Bands;Journal of the Indian Society of Remote Sensing,18 465–75Google Scholar
  19. Potdar M B, Sharma S A, Devara P C S,. Raj P E, Pandithurai G, Maheskumar R S and Dani K K 1998 ATMRAD model calibration, retrieval of aerosol optical thickness and atmospheric factors from IRS-P3 MOS Data;Scientific Note,SAC/RSAG/LRD/01/87, Space Applications Centre, AhmedabadGoogle Scholar
  20. Potdar M B, Sharma S A, Devara P C S, Raj P E, Pandithurai G, Maheskumar R S and Dani K K 1999 Retrieval of aerosol optical thickness and atmospheric correction factors from IRS-P3 MOS Data; In: Proc. ISRS National Symposium onRemote Sensing Applications for Natural Resources: Retrospective and Perspective, Bangalore, 19th–21st January 1999 526–529Google Scholar
  21. Potdar M B and Devara P C S 2000a Atmospheric aerosol loading over land from IRS-P3 MOS sensor data; In: “Book of Abstracts of the ISRO Chairman's review of ISRO-GBP Projects” and the 3rd Workshop onScientific Results from ISRO Geosphere Biosphere Programme, 3rd–4th October 2000, ISRO HQ, BangaloreGoogle Scholar
  22. Potdar M B and Devara P C S 2000 Spectral characterization of optical thickness over land from IRS-P3 MOS-B sensor data; In:IGBP in India 2000: A Status Report on Projects, compiled and edited by the Indian National Committee for the International Geosphere-Biosphere Programme, 1997–2000, Verba Network Services, Bangalore, 206–211Google Scholar
  23. Potdar M B and Devara P C S 2001b Land aerosol characterization from satellite data; In: Proc. of WG-II onAtmospheric Chemistry, Aerosols and Global Change Meeting on 20th-21st December 2001, SPL, VSSC, Trivandrum 37–40Google Scholar
  24. Potdar M B, Parikh V Y, Sharma S A, Devara P C S, Raj P E, Pandithurai G, Maheskumar R. and Dani K K 2001 Characterization of land aerosols using IRS-P3 MOS Sensor Data; SAC Director's review of ISRO-GBP projects at SAC, 31st July 2001Google Scholar
  25. Valley S L (ed.) 1965Handbook of Geophysics and Space Environment; (New Jersey: McGraw-Hill) USAGoogle Scholar
  26. Van de Hulst H C 1957Light scattering by small particles (New York: Wiley) USAGoogle Scholar
  27. Vermote E F, Tanre D, Deuze J L, Herman M and Morcrette J 1997 Second simulation of the satellite signal in the solar spectrum, 6S: An Overview;IEEE. Transactions on Geoscience and Remote Sensing 35 675–686CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2004

Authors and Affiliations

  • M. B. Potdar
    • 1
  • S. A. Sharma
    • 1
  • V. Y. Parikh
    • 1
  • P. C. S. Devara
    • 2
  • P. E. Raj
    • 2
  • Y. K. Tiwari
    • 2
  • R. S. Maheskumar
    • 2
  • K. K. Dani
    • 2
  • S. K. Saha
    • 2
  • S. M. Sonbawne
    • 2
  • Y. Jaya Rao
    • 2
  • G. Pandithurai
    • 2
  1. 1.Space Applications CentreAhmedabadIndia
  2. 2.Indian Institute of Tropical MeteorologyPuneIndia

Personalised recommendations