东北地区作为我国气候变化最为敏感和明显的区域之一，其湖泊系统也受到了显著的影响。因此，深入研究东北地区湖冰物候特征具有重要的科学意义和实际价值。该数据集选取31个东北地区面积＞20KM2的湖泊，基于谷歌地球引擎(Google Earth Engine，GEE)融合MOD11A1和MYD11A1获取湖表温度的时间序列，利用正交距离回归算法填补时间序列空白值，构建了东北地区2000-2022年期间31个湖泊表面温度数据集，并依此获得湖冰物候数据，具体参数包括结冰日、融冰日和冰期。
", "ds_source": "研究选取28个气象站对湖表温度精度进行验证，验证表明湖表温度与气象站地温(GST)、气温(AT)的R2分别为0.958和0.977。
", "ds_process_way": "基于水文年鉴的冰情统计结果验证湖冰物候，结冰日、融冰日和冰期的相关系数分别为0.875、0.852、0.938，说明数据集提供的物候信息具有较好的精度，能够为东北湖冰时空变化规律及气候变化研究提供数据支撑。
", "ds_quality": "数据质量良好。
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