Robust Satellite-Based Identification and Monitoring of Forests Having Undergone Climate-Change-Related Stress

Climate-induced drought events are responsible for forest decline and mortality in different areas of the world. Forest response to stress periods may be different, time space, depending on vegetation type local factors. Stress analysis carried out by using field methods, but use remote sensing needed highlight effects climate-change-induced phenomena at a larger spatial temporal scale. In this context, satellite-based analyses presented work evaluate during 2000s possible climatological forcing over oak forests Southern Italy. To aim, two approaches based well-known Normalized Difference Vegetation Index (NDVI) were used: one NDVI values, averaged selected decaying non-decaying forests; another Robust Satellite Techniques (RST). The first approach mainly gave us overall information about 1984–2011 rising trends, despite general decrease around 2000s. second, more refined was able impact forests. combined RST-based approach, Landsat satellite data, Google Earth Engine (GEE) platform allowed identify space domain monitor significant changes climate-driven (e.g., 2001) from Basilicata region By way, status Gorgoglione highlighted years before visual evidence dryness apical branches, bark detachment, root rot disease). RST exportability sensors types, availability suitable potential GEE suggest possibility long-term monitoring health, global scale, provide useful end-user classes.