The Assessment of Atmospheric Pollution using Satellite Remote Sensing Technology in Large Cities in the Vicinity of Airports

Water, Air and Soil Pollution: Focus - Tập 2 - Trang 631-640 - 2002
D. G. Hadjimitsis1, A. Retalis2, C. R. I. Clayton1
1Department of Civil & Environmental Engineering, University of Southampton, Highfield, Southampton, U.K.
2National Observatory of Athens, Institute for Space Applications and Remote Sensing, Metaxa & Vas. Pavlou, Palea Pendeli, Athens, Greece

Tóm tắt

This paper investigates the potential of usingsatellite remotely sensed imagery for assessing atmosphericpollution. A novel approach, which comprised radiativetransfer calculations and pseudo-invariant targets fordetermining aerosol optical thickness has been developed.The key parameter for assessing atmospheric pollution inphotochemical air pollution studies is the aerosol opticalthickness. The need for identifying suitable pseudo-invariantobjects in satellite images of urban areas is of great interest for increasing the potential of earthobservation for monitoring air pollution in such areas. Theidentification of large water bodies and concrete apronsthat can serve as suitable dark and bright targetsrespectively in different geographical areas wasdemonstrated in this study. This study added evidence onthe correlation found between the visibility valuesmeasured at Heathrow Airport area during satellite overpassand aerosol optical thickness derived from Landsat-5 TMband 1 images.

Tài liệu tham khảo

Arenz, R. F., Lewis, W. M. and Saunders, J. F.: 1996, ‘Determination of chlorophyll and dissolved organic carbon from reflectance data for Colorado reservoirs’, Int. J. Rem. Sens. 17(8), 1547–1566. Berger, H. F.: 1989, ‘Multi-Temporal Analysis of Forest Areas in the Surroundings of Innsbruck, Austria’, Proceedings of a Workshop on Earthnet Pilot Project on Landsat Thematic Mapper Applications, in T. D. Guyenne and G. Calabresi (eds), ‘A Pilot Project Campaign on Landsat Thematic Mapper Applications’, ESA SP-1102, pp. 293–298. Caselles, V. and Garcia, M. J. L: 1989, ‘An alternative simple approach to estimate atmospheric correction in multi-temporal studies’, Int. J. Rem. Sens. 10(6), 1127–1134. Department of the Environment: 1996, ‘Airborne Particulate Matter in the United Kingdom, December 1996, Third Report of the Quality of Urban Air Review Group, The University of Birmingham, Institute of Public and Environmental Health, School of Biological Sciences. Forster, B. C.: 1984, ‘Derivation of atmospheric correction procedures for Landsat MSS with particular reference to urban data’, Int. J. Rem. Sens. 5(5), 799–817. Hadjimitsis, D. G.: 1999, ‘The Application of Atmospheric Correction Algorithms in the Satellite Remote Sensing of Reservoirs’, PhD Thesis, University of Surrey, School of Engineering in the Environment, Department of Civil Engineering, Guildford, UK. Hadjimitsis, D. G., Hope, V. S., Clayton, C. R. I. and Retalis, A.: 1999, ‘A New Method of Removing Atmospheric Effects using Pseudo-Invariant Targets’, in 'Earth Observations from Data’, Proceedings of the 25th Annual Conference and Exhibition of the Remote Sensing Society, University of Wales and Swansea, pp. 633–641. Hadjimitsis, D. G., Clayton, C. R. I. and Hope, V. S.: 2000, ‘The Importance of Accounting for Atmospheric Effects in Satellite Remote Sensing: A Case Study from the Lower Thames Valley Area-UK’, Space and Robotics 2000, February 2000, New Mexico, U.S.A., sponsored by the ASCE and co-sponsored by NASA and SANDIA National Laboratories, pp. 194–201. Hill, J.: 1993, ‘High Precision Land Cover Mapping and Inventory with Multi-Temporal Earth Observation Satellite Data’, PhD Thesis, Institute for Remote Sensing applications, Environmental mapping and modeling unit, Joint Research Centre, Published by the Commission of the European Communities, Luxembourg. Hill, J. and Sturm, B.: 1993, ‘Radiometric correction of multi-temporal Thematic Mapper data for use in agricultural land cover classification and vegetation monitoring’, Int. J. Rem. Sens. 12(7), 1471–1491. Kaufman, Y. J., Fraser, R. S. and Ferrare, R. A.: 1990, ‘Satellite measurements of large-scale air pollution: methods’, J. Geophys. Res. 95, 9895–9909. Mather, P.: 1999, Computer Processing of Remotely-Sensed Images, John Wiley and Sons, Chichester, UK. Munday, P. K: 1990, UK Emissions of air pollutants 1970–1988, Warren Spring Laboratory Report No. LR 764 (AP). Retalis, A.: 1998, ‘Study of Atmospheric Pollution in Large Cities with the Use of Satellite Observations: Development of an Atmospheric Correction Algorithm Applied to Polluted Urban Areas’, PhD Thesis, Department of Applied Physics, University of Athens. Retalis, A., Cartalis, C. and Athanassiou, E.: 1999, ‘Assessment of the distribution of aerosols in the area of Athens with the use of Landsat TM’, Int. J. Rem. Sens. 20(5), 939–945. Retalis, A., Hadjimitsis, D. G. and Clayton, C. R. I.: 2000, ‘The Use of Large Eutrophic Inland Water Bodies as Suitable Dark Targets in the Assessment of Atmospheric Pollution Using Satellite Remotely Sensed Imagery’, 5th Pan Hellenic Scientific Conference on Meteorology-Climatology and Atmospheric Physics, 28–29 September 2000, Thessaloniki (proceedings in progress). Schott, J. R., Salvaggio, C. and Wolchock, W. J.: 1988, ‘Radiometric scene normalization using pseudo-invariant features’, Rem. Sens. Environ. 26, 1–16. Sifakis, N. and Deschamps, P. Y.: 1992, ‘Mapping of air pollution using SPOT satellite data’, Photogr. Engin. Rem. Sens. 58, 1433–1437. Stebbings, T., Simms, K. L. and Crimes, S.: 1999, ‘Air Quality Management for a Large International Airport the Experience at Heathrow’, Proceedings of 2nd International Conference, Urban air quality, Computer Science School of the Technical University of Madrid, pp. 81–82. Wald, L. and Balleynaud, J. M.: 1999, ‘Observing air quality over the city of Nantes by means of Landsat thermal infrared data’, Int. J. Rem. Sens. 20(5), 947–959. Wald, L., Basly, L. and Balleynaud, J. M.: 1999, ‘Satellite Data for the Air Pollution Mapping’, Proceedings of the 18th EARseL Symposium on Operational Sensing for Sustainable Development (Enschede, the Netherlands, 11–14 May 1998), in G. J. A. Nieeuwenhuis, R. A, Vaugham and M. Molenaar (eds), ‘Operational Remote Sensing for Sustainable Development’, pp. 133–139.