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MODIS-based Daily Lake Ice Extent and Coverage dataset for Tibetan Plateau

机译：基于MODIS的青藏高原每日湖泊冰覆盖范围数据

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ABSTRACTThe Tibetan Plateau houses numerous lakes, the phenology and duration of lake ice in this region are sensitive to regional and global climate change, and as such are used as key indicators in climate change research, particularly in environment change comparison studies for the Earth three poles. However, due to its harsh natural environment and sparse population, there is a lack of conventional in situ measurement on lake ice phenology. The Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Snow Index (NDSI) data, which can be traced back 20 years with a 500 m spatial? resolution, were used to monitor lake ice for filling the observation gaps. Daily lake ice extent and coverage under clear-sky conditions was examined by employing the conventional SNOWMAP algorithm, and those under cloud cover conditions were re-determined using the temporal and spatial continuity of lake surface conditions through a series of steps. Through time series analysis of every single lake with size greater than 3 km~(2) in size, 308 lakes within the Tibetan Plateau were identified as the effective records of lake ice extent and coverage to form the Daily Lake Ice Extent and Coverage dataset, including 216 lakes that can be further retrieved with four determinable lake ice parameters: Freeze-up Start (FUS), Freeze-up End (FUE), Break-up Start (BUS), and Break-up End (BUE), and 92 lakes with two parameters, FUS and BUE. Six lakes of different sizes and locations were selected for verification against the published datasets by passive microwave remote sensing. The lake ice phenology information obtained in this paper was highly consistent with that from passive microwave data at an average correlation coefficient of 0.91 and an RMSE value varying from 0.07 to 0.13. The present dataset is more effective at detecting lake ice parameters for smaller lakes than the coarse resolution passive microwave remote sensing observations. The published data are available in https://data.4tu.nl/repository/uuid:fdfd8c76-6b7c-4bbf-aec8-98ab199d9093 and http://www.sciencedb.cn/dataSet/handle/744.
机译：摘要青藏高原上有许多湖泊，该地区湖冰的物候和持续时间对区域和全球气候变化敏感，因此被用作气候变化研究的关键指标，特别是在地球三极环境变化比较研究中。然而，由于其恶劣的自然环境和稀疏的人口，缺乏对湖冰物候的常规原位测量。中分辨率成像光谱仪（MODIS）归一化积雪指数（NDSI）数据，该数据可以追溯到20年，具有500 m的空间？分辨率，用于监测湖冰以填补观测空白。通过使用常规的SNOWMAP算法，研究了在晴朗天空条件下的每日湖泊冰层范围和覆盖率，并通过一系列步骤，使用湖泊表面条件的时间和空间连续性，重新确定了在云层覆盖条件下的湖泊覆盖范围。通过对每个大小大于3 km〜（2）的湖泊进行时间序列分析，确定了青藏高原内308个湖泊是湖泊冰覆盖度和覆盖率的有效记录，从而形成了每日湖泊冰覆盖度和覆盖率数据集，包括216个湖泊，可使用四个可确定的湖泊冰参数进一步取回：冻结开始（FUS），冻结结束（FUE），分解开始（BUS）和分解结束（BUE），以及92有两个参数的湖泊：FUS和BUE。选择了六个大小和位置不同的湖泊，以通过被动微波遥感对已发布的数据集进行验证。本文获得的湖冰物候信息与被动微波数据的信息高度一致，平均相关系数为0.91，RMSE值在0.07至0.13之间变化。与粗糙分辨率的被动微波遥感观测相比，本数据集在检测较小湖泊的湖冰参数方面更为有效。发布的数据位于https://data.4tu.nl/repository/uuid:fdfd8c76-6b7c-4bbf-aec8-98ab199d9093和http://www.sciencedb.cn/dataSet/handle/744。

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