DocumentCode :
2128532
Title :
Validation of PM MAPPER aerosol optical thickness retrievals at 1×1 km2 of spatial resolution
Author :
Campalani, P. ; Nguyen, T.N.T. ; Mantovani, S. ; Bottoni, M. ; Mazzini, G.
Author_Institution :
UNIFE, Ferrara, Italy
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
The polar-orbiting MODerate resolution Imaging Spectrora-diometer (MODIS) on-board Terra and Aqua satellites is a key instrument for the daily monitoring of global aerosol properties over a large spectral range. Its aerosol retrieval algorithm is set to a size of 10×10 km2 of spatial resolution, and hence may not be adequate for detailed analysis at local scale. PM MAPPER is a software system capable of handling the multispectral data acquired by the MODIS sensors. It produces maps of Aerosol Optical Thickness (AOT) at increased spatial resolution up to 1×1 km2, which are then available online in a GIS environment. This article shows the validation results of these products, obtained by comparison with AOT measurements of several ground-based radiometers of the A Erosol RObotic NETwork (AERONET) over Europe, for a period of 3 years (2007-2009). They show a good correlation between satellite products and ground measurements. Different sizes of the spatio-temporal window to associate satellite and ground observations have been tested, and trends have been searched by tuning the comparisons for different years, seasons and land-cover classes. An optimal spatio-temporal window for this kind of validation is also suggested. This could be used for other purposes as well, e.g. to perform improvements of AOT retrieval algorithm with machine learning techniques.
Keywords :
aerosols; artificial satellites; atmospheric techniques; formal verification; geographic information systems; geophysics computing; optical variables measurement; radiometers; spectrometers; thickness measurement; AERONET; Aqua satellite; GIS environment; MODIS sensor; PM MAPPER; Terra satellite; aerosol optical thickness retrieval; aerosol retrieval algorithm; aerosol robotic network; global aerosol properties; ground observation; machine learning technique; multispectral data; polar orbiting moderate resolution imaging spectroradiometer; satellite observation; software system; spatial resolution; spatio-temporal window; Aerosols; Correlation; Extraterrestrial measurements; MODIS; Optical sensors; Satellites; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on
Conference_Location :
Split
Print_ISBN :
978-1-4577-1439-9
Type :
conf
Filename :
6064447
Link To Document :
بازگشت