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The availability of a large number of data acquired by satellite sensors with different spatial and spectral resolutions has alwaysrequired an evaluation of their synergistic use. The integration of dataset of images coming from different sources can be an optimalsolution for the study of various environmental problems which need a continuous monitoring (coastal development, forestevolution, land use changes etc.). The Classe pinewood, an important safeguarded biodiversity hot spot near Ravenna city (Italy), ishistorically affected by the groundwater salinization. Since changes in the water concentration are able to induce variations of theleaf properties and vegetation cover, recognizable by surveys carried out with different spectral bands, the comparison betweenASTER and Worldview-2 data was performed using the (Normalized Difference Vegetation Index) NDVI. For each satellite data,the same Areas of Interest (AOIs) were selected within the most widespread cover, Thermophilic Deciduous Forest (TDF). TheNDVI was calculated, statistically evaluated and the AOI rankings were built. In order to evaluate the difference between the resultsprovided by the two images, statistical tests were applied on the average NDVI values. Finally the calculated NDVI were comparedwith groundwater salinity data collected during a contemporary field monitoring campaign. Based on groundwater salinity the sameAOIs ranking was reached for both satellite sensors. This study suggests the opportunity to employ the medium resolution Asterimages in continuity with high resolution WarldView-2 dataset

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy)