Ricerc@Sapienza

It is known that the decline of oaks forest can be triggered by an increase of climatic anomalies such as heat waves, droughts, and extreme cold. The present study aims to deepen the relationships between climate anomalies and oak decline basing on in-field observations made in the Lucanian Apennine (southern Italy) during summer 2017. Remote sensing was used to identify those areas affected by vegetation decline. A comparison of the climatic conditions recorded in 2015 and 2017 was carried out, these years being the hottest and the driest, respectively, since 1800.

The continuous availability and rapid accessibility to multispectral data from satellite platforms within the Copernicus Programme represents a great opportunity for users in different fields of applications as: Agriculture, observation of coastal zones, monitoring land cover change. The aim of this paper is to identify a suitable method to map coastline using Sentinel-2 optical satellite image. The method provides the use of two indexes developed in remote sensing field for water environment: NDWI (Normalized difference water index) and MNDWI (Modified Normalized difference water index).