A dataset of spring sandstorm distribution on the Mongolian Plateau (2000-2021)

Yu Zhang, Juanle Wang
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Abstract

The Mongolian Plateau is one of the cradles of sandstorms in Asia, among which the Gobi region of Mongolia and the desert region of western Inner Mongolia are to blame for the frequent sandstorms in China and Mongolia in recent years. First, based on meteorological observation data about sandstorms and text data of news events, we collected 76 sandstorm events on the Mongolian Plateau from 2000 to 2021 in the study. Second, we downloaded MODIS data of corresponding spatiotemporal regions, which were screened and processed in combination with the cloud size. And we preprocessed the MODIS data for geometric correction with MRTK plugin in the ENVI software. Then, we constructed the DSDI of dust index and extracted the spatial distribution information of dust to obtain the of spring sandstorm distribution of Mongolian Plateau. With the ArcGIS software for random selection of verification points, we used the station record, text data, image enhancement, visual interpretation to complete the accuracy evaluation. The overall classification accuracy reaches 85.24% with a Kappa coefficient of 0.7636. This dataset can directly reflect the spatial distribution of sandstorms on the Mongolian Plateau, which can provide detailed and reliable data support for the control of sandstorm disasters. At the same time, it can also back up decision-making process of controlling the risk of sandstorm disasters on the Mongolian Plateau.
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2000-2021年蒙古高原春季沙尘暴分布数据集
蒙古高原是亚洲沙尘暴的发源地之一,其中蒙古戈壁地区和内蒙古西部沙漠地区是近年来中国和蒙古频繁发生沙尘暴的罪魁祸首。首先,基于沙尘暴的气象观测数据和新闻事件的文本数据,我们收集了2000年至2021年蒙古高原发生的76起沙尘暴事件。其次,我们下载了相应时空区域的MODIS数据,并结合云的大小进行了筛选和处理。利用ENVI软件中的MRTK插件对MODIS数据进行预处理,进行几何校正。然后,构建了沙尘指数的DSDI,提取了沙尘的空间分布信息,得到了蒙古高原春季沙尘暴的分布情况。利用ArcGIS软件对验证点进行随机选择,利用台站记录、文字数据、图像增强、视觉判读等方法完成精度评估。总体分类准确率达到85.24%,Kappa系数为0.7636。该数据集可以直接反映蒙古高原沙尘暴的空间分布,为沙尘暴灾害的控制提供详细可靠的数据支持。同时,它还可以支持控制蒙古高原沙尘暴灾害风险的决策过程。
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