Several studies showed that the pine forests of Ravenna (Emilia-Romagna, Italy), as well as the entire coastal system to which they belong, are subject to a salt water intrusion in the aquifer below, caused by natural and human factors. Changes in groundwater salinity induce variations of the leaves properties and vegetation cover, recognizable by satellite sensors as response on different spectral bands. Therefore a procedure to identify stressed areas from remote sensing data, reducing the expensive and time consuming ground monitoring campaign, was developed. Multispectral ASTER data, acquired between May 2005 and August 2005, were used to calculate NDVI and its subsequent statistical analysis. Finally, the validation of the method was allowed from simultaneous ground measurement campaign. This methodology was tested in Classe pine forest and then in San Vitale pinewood. Although, from geological and morphological large scale point of view, these pinewoods have the same origin and structures, in last centuries different human activities and natural settings have led to a diverse situation.

Barbarella Maurizio, De Giglio Michaela, Greggio Nicolas (2013). Dati ASTER per la valutazione dello stato di salute di aree costiere vegetate interessate da salinizzazione.

Dati ASTER per la valutazione dello stato di salute di aree costiere vegetate interessate da salinizzazione

BARBARELLA, MAURIZIO;DE GIGLIO, MICHAELA;GREGGIO, NICOLAS
2013

Abstract

Several studies showed that the pine forests of Ravenna (Emilia-Romagna, Italy), as well as the entire coastal system to which they belong, are subject to a salt water intrusion in the aquifer below, caused by natural and human factors. Changes in groundwater salinity induce variations of the leaves properties and vegetation cover, recognizable by satellite sensors as response on different spectral bands. Therefore a procedure to identify stressed areas from remote sensing data, reducing the expensive and time consuming ground monitoring campaign, was developed. Multispectral ASTER data, acquired between May 2005 and August 2005, were used to calculate NDVI and its subsequent statistical analysis. Finally, the validation of the method was allowed from simultaneous ground measurement campaign. This methodology was tested in Classe pine forest and then in San Vitale pinewood. Although, from geological and morphological large scale point of view, these pinewoods have the same origin and structures, in last centuries different human activities and natural settings have led to a diverse situation.
2013
Atti 17a Conferenza Nazionale ASITA
87
94
Barbarella Maurizio, De Giglio Michaela, Greggio Nicolas (2013). Dati ASTER per la valutazione dello stato di salute di aree costiere vegetate interessate da salinizzazione.
Barbarella Maurizio; De Giglio Michaela; Greggio Nicolas
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/399432
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