HASA：基于RTLSRS模型的高亚洲地区积雪反照率产品（2004-2022)

除两极以外，高亚洲地区因其广泛的积雪覆盖范围，被誉为“第三极”和“亚洲水塔”，而在众多反照率数据集中，针对高亚洲地区积雪地表的较为稀缺。在本研究中，以高亚洲地区为研究区，采用改进的线性核驱动模型（RossThick-LiSparseReciprocal-Snow，RTLSRS），开发适用于高亚洲地区积雪反照率的系统性模拟方案，生成了一套高亚洲地区2004–2022年空间分辨率为500m、时间分辨率为16天的积雪反照率数据集。使用实地站点观测数据以及全球地表反照率数据产品对其进行质量评价与精度对比。结果表明，HASA与实测数据的相关系数（R）达到0.8387，较MCD43A3和GLASS数据产品分别提升了4.67%和50.28%；均方根误差（RMSE）与平均绝对偏差（MAE）分别为0.1073和0.0642。整体精度优于同类反照率产品，展现出良好的数据可靠性与应用潜力。Except for the polar regions, High Asia is known as the 'Third Pole' and the 'Asian Water Tower' due to its extensive snow cover. However, among numerous albedo datasets, those targeting snow-covered surfaces in High Asia are relatively scarce. In this study, taking High Asia as the research area, we adopted the improved linear kernel-driven model (RossThick-LiSparseReciprocal-Snow, RTLSRS) to develop a systematic simulation scheme for snow albedo in High Asia, and generated a snow albedo dataset for High Asia covering 2004–2022, with a spatial resolution of 500 m and a temporal resolution of 16 days. We carried out quality assessment and accuracy comparison using in-situ site observation data and global surface albedo data products. The results show that the correlation coefficient (R) between the HASA dataset and in-situ measured data reaches 0.8387, which is 4.67% and 50.28% higher than those of the MCD43A3 and GLASS data products, respectively; the root mean square error (RMSE) and mean absolute error (MAE) are 0.1073 and 0.0642, respectively. The overall accuracy of HASA is superior to that of similar albedo products, demonstrating strong data reliability and application potential.

搜集汇总

背景与挑战

背景概述

HASA数据集是基于RTLSRS模型生成的高亚洲地区积雪反照率产品，覆盖2004年至2022年，空间分辨率为500米，时间分辨率为16天。该数据集通过改进的线性核驱动模型优化反照率模拟，与实地观测数据相比，相关系数达到0.8387，精度优于同类全球产品，适用于冰冻圈和遥感研究。数据以开放获取方式共享，支持高亚洲地区积雪地表过程分析。