Title: Leaf age-dependent LAI seasonality products (Lad-LAI) over tropical and subtropical evergreen broadleaved forests
Abstract:This dataset provides 0.25 degree spatial resolution leaf age-dependent LAI seasonality product (Lad-LAI) (2001-2018) over tropical and subtropical evergreen broadleaved forests (TEFs). The mapped ext...This dataset provides 0.25 degree spatial resolution leaf age-dependent LAI seasonality product (Lad-LAI) (2001-2018) over tropical and subtropical evergreen broadleaved forests (TEFs). The mapped extent is longitude (-180, 180) and latitude (-30, 30). (1) Methodology and performance The canopy leaves of TEFs were simplified into three age cohorts, i.e., young, mature and old one, with different photosynthesis capacity (maximum carboxylation rate, V<sub>cmax</sub>) to produce a grid dataset of leaf age-dependent LAI product (referred to as Lad-LAI) over the continental scale from satellite observations of TROPOMI sun-induced chlorophyll fluorescence (SIF) as a proxy of leaf photosynthesis. Validations against in situ measurements of seasonal LAI data, satellite based EVI and in situ measurements of seasonal litterfall data demonstrated the products were in high accuracy. (2) Dataset information The seasonality dataset is provided in geotif (*.tif) format with pixel values of 0-6 for LAI<sub>young</sub>, LAI<sub>mature</sub> and LAI<sub>old</sub>. Data named "LAI_young_025deg_1.tif" means leaf area index of young leaves mapped in January. The timeseries dataset is provided in geotif (*.tif) format with pixel values of 0-6 for LAI<sub>young</sub>, LAI<sub>mature</sub> and LAI<sub>old</sub>. Data named "LAI_young_025deg_200101.tif" means leaf area index of young leaves mapped in January 2001. The quality control (QC) dataset is provided in geotif (*.tif) format with pixel values of 1-4 for LAIs. In the QC system, data quality is divided into four levels: level 1 (QC=1) represents the highest quality; level 2 (QC=2) and level 3 (QC=3) represent good and acceptable quality, respectively; and level 4 (QC=4) warns to be used cautiously. Data named "QC_rmse_rss_025deg_1.tif" means the quality control of leaf area index of young leaves mapped in January. The other two versions datasets are Lad-LAI generated from GOSIF-derived GPP and Lad-LAI generated from FLUXCOM GPP. <br> <br> Any questions about the dataset can be corresponded to Xiuzhi Chen ([email protected]).Read More