地表蒸散发遥感产品在不同生态系统的评估OA

Based on the ground-measured data from six flux towers belonging to three distinct ecosystems a validation was carried out for two surface evapotranspiration(ET)remote sensing products:UM-A and MOD16,to analyse the temporal consistency between these remote sensing products,and to assess the accuracy of the products by using correlation coefficients,root mean square error(RMSE),and mean absolute error(MAE),as well as to explore the ecosystems where the different surface evapotranspiration remote sensing products are suitable for.Results indicate that both products have similar temporal trends to the flux station data,with UM-A exhibiting better performance in forest and grassland ecosystems,and MOD16 in farmland ecosystems.The UM-A product performs better when the vegetation cover consists of evergreen broadleaf forests or alpine Kobresia meadows.Conversely,MOD16 is preferred for ecosystems dominated by pine forests.