基于时序栅格的暴雨事件提取与追踪方法

doi:10.3969/j.issn.0255-8297.2019.04.008

应用科学学报 ›› 2019, Vol. 37 ›› Issue (4): 510-518.doi: 10.3969/j.issn.0255-8297.2019.04.008

基于时序栅格的暴雨事件提取与追踪方法

杨光辉^1,2, 薛存金^2,3, 刘敬一², 邬群勇¹, 伍程斌²

1. 福州大学卫星空间信息技术国家地方联合工程中心, 福州 350116;
2. 中国科学院数字地球重点实验室, 北京 100094;
3. 中国科学院空天信息研究院, 北京 100094

收稿日期:2018-11-14 修回日期:2018-12-26 出版日期:2019-07-31 发布日期:2019-10-11
通信作者: 薛存金,副研究员,研究方向:海洋地理信息系统、海洋时空分析方法,E-mail:xuecj@radi.ac.cn E-mail:xuecj@radi.ac.cn
基金资助:
中国科学院战略性A类型先导专项基金（No.XDA19060103）；国家重点研发计划基金（No.2017YFB0503605）；国家自然科学基金（No.41671401）资助

Algorithm for Extracting and Tracking Rainstorm Events Based on Time Series Raster-Formatted Datasets

YANG Guanghui^1,2, XUE Cunjin^2,3, LIU Jingyi², WU Qunyong¹, WU Chengbin²

1. National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350116, China;
2. Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing 100094, China;
3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Received:2018-11-14 Revised:2018-12-26 Online:2019-07-31 Published:2019-10-11

摘要/Abstract

摘要： 利用长时间序列栅格数据集，基于暴雨的时空演变特征提出一种暴雨事件时空提取与追踪方法.首先在时间维度提取暴雨栅格，针对每一个时序栅格序列统计累计降水量，依据国家气象局的标准划分暴雨等级；然后在空间维度提取暴雨对象，连接具有暴雨标识的相邻空间栅格并将其矢量化，记录暴雨的时间信息、空间信息、属性信息；接着在时空维度追踪暴雨事件，以相邻时刻暴雨对象的空间拓扑相交为条件寻找前后时刻空间拓扑相交的暴雨对象，建立暴雨对象间的关系，提取出所有存在关系的暴雨对象，统计暴雨事件信息；最后利用GPM IMERG最终产品数据集、台站数据集、雷达数据集对该方法的可行性和有效性进行验证与对比分析.实验结果表明，该方法可以完整提取暴雨的动态发展过程.

关键词: 暴雨事件, 提取, 追踪, 栅格数据, GPM的集成多卫星检索

Abstract: Based on evolution characteristics of rainstorms, we propose an algorithm for extracting and tracking rainstorm events with long-term raster-formatted datasets. The first step is the rainstorm extraction in the temporal domain. We calculate the cumulative rainfall of each grid of a time series, and identify the rainstorm levels. The second step is the rainstorm connection in a spatial domain:connecting the adjacent spatial grids tagged by rainstorm in a rainstorm object, and transforming it from raster format to the vector one with temporal, spatial and thematic information. Then rainstorm is tracked in the spatiotemporal domain. The relationship between storm objects will be fined based on the intersection of spatial topologies at adjacent moments, and the rainstorm objects are extracted based on the relationship, and calculate rainstorm event information. We using GPM-IMAGE final products, station datasets and radar datasets to compare and verify the algorithm. Experimental results show that the algorithm can completely extract the dynamic development process of rainstorm.

Key words: rainstorm event, extracting, tracking, raster datasets, integrated multi-satellie retrievals for GPM (IMERG)

中图分类号:

TP79

杨光辉, 薛存金, 刘敬一, 邬群勇, 伍程斌. 基于时序栅格的暴雨事件提取与追踪方法[J]. 应用科学学报, 2019, 37(4): 510-518.

YANG Guanghui, XUE Cunjin, LIU Jingyi, WU Qunyong, WU Chengbin. Algorithm for Extracting and Tracking Rainstorm Events Based on Time Series Raster-Formatted Datasets[J]. Journal of Applied Sciences, 2019, 37(4): 510-518.

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基于时序栅格的暴雨事件提取与追踪方法

Algorithm for Extracting and Tracking Rainstorm Events Based on Time Series Raster-Formatted Datasets

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