Correlation analysis between biophysical indices and Land Surface Temperature using remote sensing and GIS in Guelma city (Algeria)

Urbanization is a phenomenon that driven by humans. It has significantly influenced biodiversity, ecosystem processes and regional climate. This work explores the relationship between seven biophysical variables (NDVI, SAVI, Greenness, Albedo, DBI, NDBI, NDBaI indices), LST over period of 30 years (1990–2020), based on remote sensing & GIS. A time-series Landsat images TM, ETM+ OLI/TIRS data as well various geospatial approaches were used to facilitate analysis. The findings have revealed urban/built-up areas Guelma city increased (20.76 km2), in contrast agricultural forest areas, which been reduced (138.26 km2 2.7 km2). average temperature urban setting was (31,43 C°) 1990, whereas, it reached (41,90 2020. lowest values observed bodies with (26,55 1990 (37,78 There possible rise time scale owing substitution green cover soil areas. Generally, there noticeable increase mean 10,47 C° for coefficient correlation indices shows strong negative exists vegetation SAVI Greenness) LST. In addition this, (Albedo, NDBaI) can effectively retrieve They positively correlated all years. DBI highest consistently rising positive (R = 0,62).This investigation provides us clear understanding impacts urbanization