LAI.Β LAI hereby makes the following representations:
LAI.Β The LAI is derived from MERIS time series, making use of all available 10-day composites and available at xxxxx.xxx.xx (DOI: 10.15489/ak90g1wty909). Additionally, LAI is calculated for selected Landsat 8 scenes, accompanying the reflectance, LST and albedo images.
LAI.Β The leaf area index (LAI) is calculated with a spatial resolution of 300 m from the MERIS level 1B data. For the calculation of the LAI, the BEAM MERIS vegetation processor was used. After the LAI processing, a time series analysis was applied to fill data gaps and filter outliers (Tum et al., under review). The result is a continuous data set. For URBANFLUXES this data set was clipped for the three study areas as well as resampled to the 100 m grid. This data set provides information on the phenology during the year. However, because of the course resolution, also LAI is derived from the same images as the reflectance to have an up-to-date complete high resolution data set for the selected dates. This LAI is derived using ATCOR according to the following equation (Xxxxxxx and Xxxxxxxxx 2015): πΏπ΄πΌ = β π2 ln( π0βππΌ ) π1 Where π0 = 0.820, π1 = 0.780, π2 = 0.600 and VI is a vegetation index, in this case SAVI: (π850 β π650) β 1.5 ππ΄ππΌ = (π850 + π650 + 0.5) Where π850 and π650 is the reflectance at 850 nm and 650 nm, respectively. Because here empirically derived parameters are used, the absolute LAI values may not be correct, but the approach allows capturing the seasonal trend.
