全球每日无缝9公里植被光学深度（VOD）产品（2010-2021年）

本数据集采用基于三维离散余弦变换的惩罚最小二乘回归方法，首先生成无缝全球每日L-VOD产品，然后采用非局部滤波思想实现高分辨率与低分辨率数据的时空融合，最终生成2010年1月1日至2021年7月31日期间的全球每日无缝9公里L-VOD产品。为验证产品质量，对重建数据进行了时间序列验证...

This dataset utilizes the penalized least squares regression method based on three-dimensional discrete cosine transform to first generate a seamless global daily L-VOD product. Then, leveraging the concept of non-local filtering, it accomplishes spatio-temporal fusion of high-resolution and low-resolution data, ultimately producing a seamless global daily 9-kilometer L-VOD product spanning from January 1, 2010 to July 31, 2021. To verify the quality of this product, time series validation was conducted on the reconstructed data...