巴音河流域高时空分辨率叶面积指数数据集

叶面积指数（Leaf Area Index,LAI）是表征地表特征变化的重要指标之一，也是陆表、水文等模型的重要参数。本数据集是基于增强型时空自适应反射率融合模型（ESTARFM），将全球陆地表层卫星（GLASS）LAI(8d/500m)、中分辨率成像光谱仪（MODIS）MOD13A1和MYD13A1、陆地卫星Landsat-7 ETM+和Landsat-8 OLI数据，进行融合，得到8 d/30 m分辨率的LAI，通过分段线性内插最终得到巴音河流域高时空分辨率LAI(1 d/30 m)。对比高时空分辨率LAI(1 d/30 m)与GLASS LAI产品的时空特征，验证数据集精度。结果表明：与原始GLASS LAI相比，本数据集在空间上具有与GLASS LAI一致的分布特征，且轮廓与纹理更为清晰。在时间上，二者具有相同的月际变化特征，且由1 d/30 m LAI估算的区域月平均LAI和区域8日平均LAI与原始GLASS LAI存在显著正相关性，R2分别为0.95、0.94,Pearson积矩相关系数均为0.97,P值均小于0.01。此数据集可为陆表过程、水文循环等模拟提供重要的数据支持...

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

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， R² are 0.95 and 0.94， respectively. Pearson product moment correlation coefficients are 0.97， P values are all less than 0.01.