青藏高原地区30米分辨率陆表水体浊度产品（2018-2022）

数据内容：该数据集产品包含2022年度青藏高原地区30米分辨率陆表水体浊度产品，可作为青藏高原地区生态系统相关研究的关键参数。 数据来源及加工方法：首先，收集Landsat 8/9卫星遥感影像TOA反射率数据以及与之相关的辅助数据；其次，对收集的Landsat 8/9卫星遥感影像TOA反射率数据进行水面大气校正，生成可见光和近红外波段的离水反射率（由USGS ESPA系统生成）；最后，对可见光和近红外波段的离水反射率数据，应用浊度反演模型计算得到陆表水体浊度。 数据质量：产品的不确定性在20%-30%，后续将结合科考实测数据对产品进一步优化。 数据应用成果及前景：数据集将持续更新，可用于青藏高原地区生态系统变化研究。

Data Content: This dataset includes the 30-meter resolution land surface water turbidity product over the Qinghai-Tibet Plateau in 2022, which can serve as a key parameter for ecosystem-related research in the region.
Data Sources and Processing Methods: First, collect the top-of-atmosphere (TOA) reflectance data of Landsat 8/9 satellite remote sensing images and their associated auxiliary data. Second, perform atmospheric correction over water surfaces on the collected TOA reflectance data of Landsat 8/9 satellite remote sensing images to generate water-leaving reflectance in visible and near-infrared bands, which is generated by the USGS ESPA system. Finally, apply a turbidity inversion model to the water-leaving reflectance data of visible and near-infrared bands to calculate the land surface water turbidity.
Data Quality: The uncertainty of this product ranges from 20% to 30%, and it will be further optimized by combining with field survey measured data in future work.
Data Application Achievements and Prospects: This dataset will be continuously updated and can be applied to research on ecosystem changes in the Qinghai-Tibet Plateau.