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High Spatial and Temporal Resolution Leaf Area IndexDataset of Bayin River Basin

Fu Di;Jin Xin;Jin Yanxiang;Mao Xufeng;Zhai Jingya;School of the Geographical Science,Qinghai Normal University;Key Laboratory of Physical Geography and Environmental Processes;Academy of Plateau Science and Sustainability;  
Leaf Area Index(Leaf Area Index,LAI)is one of the important indicators to characterize the changes of land surface characteristics,as well as an important parameter of land surface and hydrological models.This dataset was based on GLASS LAI(8 d/500 m),combined with MOD13A1,MYD13A1 and Landsat 7-ETM+,Landsat 8-OLI data. First,ESTARFM model was used to synthesize LAI at 8 d/30 m resolution,and then LAI with high spatial and temporal resolution(1 d/30 m)was obtained by time linear interpolation.The spatial and temporal characteristics of LAI with high spatial and temporal resolution(1 d/30 m)were compared based on GLASS LAI products to verify the accuracy of the data set. The results show that the distribution features of this data set are basically consistent with that of GLASS LAI in space,and the contour and texture are clearer. In terms of time,they have the same intermonthly variation characteristics,and the regional monthly average LAI and regional 8-day average LAI estimated by 1 d/30 m LAI have a significant positive correlation with the original GLASS LAI,R2are 0.95 and 0.94,respectively. Pearson product moment correlation coefficients are 0.97,P values are all less than 0.01.
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