Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus

This study aims to investigate how alternations of the land surface temperature (LST) affects normalized difference vegetation index (NDVI) in Paphos forest, Cyprus, using Landsat-5 and Landsat-8 imagery for time periods 1993–2000 2013–2018, respectively. A total 262 Landsat images were processed compute mean monthly NDVI LST values create a series. Using Cook’s distance, effect missing analysis series examined. Results from cross-correlation cross-variograms, decomposition model, BFAST algorithm compared produce reliable conclusions on forest changes satellite, meteorological, environmental data combined interpret that occurred inside forest. The showed decrease 2.7% period an increase 4.6% during 2013–2018. trend is negatively correlated both periods. An was identified November 1998 as well October 1994 May 2014 caused by favorable climatic conditions. December 2015 may be related reduced pityocampa attacks. abrupt detected probably locust invasion island earlier year. positive correlation appears variables lags 4, 5, 6, 7, 8 months. Overall, it shown very promising identifying potential decline.