Derived biogeophysical information from satellite imagery for assessment of extreme climate impacts on urban green environment

Abstract

Time series satellite data in the visible, near-infrared (VNIR) and radar wavelengths provide useful information for urban green land cover changes monitoring through derived biogeophysical parameters (leaf area index, canopy cover, fraction of absorbed photosynthetically active radiation, chlorophyll content, net primary production, canopy water stress, etc.). In order to assess urban green spatio-temporal changes due to extreme climatic or anthropogenic pressure was applied fusion technique to time-series multispectral and multitemporal satellite imagery (Landsat TM/ETM/OLI, Sentinel 1/ 2 and MODIS Terra/Aqua data) for Bucharest metropolitan area in Romania, over 2000-2017 period. To evaluate the degree of climate and anthropogenic impacts on urban green environment of the investigated test site, have been considered several land cover classifications, correlations with meteorological parameters at local and regional scale and some city climate modeling scenarios. So urban green vegetation has a nonlinear response to extreme climate events in different seasons and vegetation land covers.