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Miglioramento della spazializzazione di dati satellitari mediante l’uso di misure a terra

Authors: TEGGI, Sergio; GHERMANDI, Grazia; M. P. Bogliolo;

Miglioramento della spazializzazione di dati satellitari mediante l’uso di misure a terra

Abstract

This work shows a procedure for the evaluation of the spatial distributions of chemical-physical parameters measured by ground stations and satellite remote sensing. The description of the procedure is focused on the measures of atmospheric parameters characteristic of air quality and on the MODIS sensor, but it can be used for other cases also. The evaluation of the spatial distributions is done following two main approaches: in the first the distributions are computed separately for the two data sets; in the second, which is the principal subject of this work, the spatialisation of the remote sensing data set is done by using information extracted by ground measurements also. The procedure has been developed and provided with a graphic user interface in IDL.

Country
Italy
Keywords

Geostatistics; remote sensing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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15
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