Effects of saltwater intrusion on pinewood vegetation using satellite ASTER data: the case study of Ravenna (Italy).
The San Vitale pinewood (Ravenna, Italy) is part of the remaining wooded areas within the southeastern Po Valley. Several studies demonstrated a widespread saltwater intrusion in the phreatic aquifer caused by natural and human factors in this area as the whole complex coastal system. Groundwater salinization affects soils and vegetation, which takes up water from the shallow aquifer. Changes in groundwater salinity induce variations of the leaf properties and vegetation cover, recognizable by satellite sensors as a response to different spectral bands. A procedure to identify stressed areas from satellite remote sensing data, reducing the expensive and time-consuming ground monitoring campaign, was developed. Multispectral Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, acquired between May 2005 and August 2005, were used to calculate Normalized Difference Vegetation Index (NDVI). Within the same vegetation type (thermophilic deciduous forest), the areas with the higher vegetation index were taken as reference to identify the most stressed areas using a statistical approach. To confirm the findings, a comparison was conducted using contemporary groundwater salinity data. The results were coherent in the areas with highest and lowest average NDVI values. Instead, to better understand the behavior of the intermediate areas, other parameters influencing vegetation (meteorological data, water table depth, and tree density) were added for the interpretation of the results.
Department of Civil, Chemical, Environmental and Materials Engineering-DICAM, University of Bologna, Viale Risorgimento 2, 40136, Bologna, Italy, maurizio.barbarella@unibo.it.
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Barbarella
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De Giglio
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Greggio
D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D060587:Groundwater / Q000737:chemistry; D007558:Italy; D054712:Salinity; D063809:Satellite Imagery; D012623:Seawater / Q000032:analysis*; D012987:Soil / Q000737:chemistry*; D014197:Trees / Q000502:physiology*
D012987:Soil