Robust AVHRR techniques (RAT) for environmental monitoring: theory and applications

Many algorithms and data analysis techniques have been proposed up to now which make use of satellite observations within atmospheric widows mainly for clouds and surface parameters studies and for environmental monitoring applications. Quite all these algorithms are difficult to extend to different geographical, seasonal conditions, having generally poor performances and uncertain reliability especially when applied in environmental risk prevision, monitoring and/or mitigation. In this paper a new, robust (in a statistical sense), approach (RAT) to the use of NOAA/AVHRR observations is proposed and its successful application to different environmental emergencies illustrated also in expectation of next generation of satellite sounders devoted or usable for environmental monitoring purposes.

[1]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[2]  Y. S. Chung,et al.  Air pollution detection by satellites: The transport and deposition of air pollutants over oceans , 1986 .

[3]  A. Kolmogorov,et al.  The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers , 1991, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[4]  Emilio Chuvieco,et al.  A simple method for Are growth mapping using AVHRR channel 3 data , 1994 .

[5]  P. Schluessel,et al.  Satellite-derived low-level atmospheric water vapour content from synergy of AVHRR with HIRS , 1989 .

[6]  W. Menke Geophysical data analysis : discrete inverse theory , 1984 .

[7]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[8]  J. Cuevas,et al.  A forest fire risk assessment using NOAA AVHRR images in the Valencia area, eastern Spain , 1997 .

[9]  M. Desbois,et al.  The Potential of Infrared Satellite Data for the Retrieval of Saharan-Dust Optical Depth over Africa. , 1989 .

[10]  Rosa Lasaponara,et al.  Fire detection by AVHRR: toward a new approach for operational monitoring , 1998, Remote Sensing.

[11]  R. Saunders,et al.  An improved method for detecting clear sky and cloudy radiances from AVHRR data , 1988 .

[12]  R. Saunders,et al.  An automated scheme for the removal of cloud contamination from AVHRR radiances over western Europe , 1986 .

[13]  E. Vermote,et al.  Aerosol retrieval over land from AVHRR data-application for atmospheric correction , 1992, IEEE Trans. Geosci. Remote. Sens..