利用云计算平台 "谷歌地球引擎",基于双偏振雷达对泰国北部严重受灾地区制作的冰雹地图进行空间评估

IF 2.3 Q2 REMOTE SENSING
Nattapon Mahavik, Sarintip Tantanee, Fatah Masthawee
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引用次数: 0

摘要

本研究的目的是利用双偏振雷达数据创建每小时冰雹产品,然后利用云计算平台谷歌地球引擎(GEE)对其进行分析。我们使用了泰国气象局位于泰国北部清莱站的地面天气雷达。双偏振天气雷达数据以 15 分钟为间隔,使用 Python--based 开源雷达库(如 PyArt 和 Wradlib)进行分析。水文气象分类是利用从ERA5再分析数据中获得的模拟大气探测数据进行的,这些数据在当地时间17:00至20:00之间被分为十个等级。在 2 公里的高度网格上,收集了具有可比固态特征的类似水文气象类型,并以 CAPPI 格式呈现。此外,我们还使用 JavaScript 编程,在 GEE 中对冰雹进行了局部影响研究,通过与土地利用数据、城市区域、农田、人口数据和有屋顶房屋的数量进行复杂的空间叠加,证明了初步的损害评估概念。GEE 中的分析结果显示了易受冰雹袭击的潜在破坏区域。这是泰国首次尝试利用 GEE 的云平台创建每小时冰雹产品并将其集成到地理信息系统 (GIS) 中。这项发明每年可为地方组织提供灾害监测、影响评估和适应冰雹相关事件的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial assessment of produced hailstorm maps in severely affected areas in Northern Thailand based on dual-polarimetric radar using the cloud computing platform Google Earth Engine

The objective of this study was to use dual-polarimetric radar data to create an hourly hail product, which would then be analyzed using Google Earth Engine (GEE), a cloud computing platform. We used ground-based weather radar from the Thailand Meteorological Department’s Chiang Rai station in the north of Thailand. Dual-polarimetric weather radar data were analyzed at 15-minute intervals with Python-based open-source radar libraries such as PyArt and Wradlib. Hydrometeor classification was conducted using simulated atmospheric sounding data obtained from ERA5 reanalysis data, which had been classified into ten classes between 17.00 and 20.00 Local Time. At a 2-kilometer altitude grid, similar hydrometeor types with comparable solid-state characteristics were collected and presented in CAPPI format. Furthermore, we used JavaScript programming to conduct a localized impact study of the hailstorm in GEE in order to prove the preliminary damage assessment concept by comprising sophisticated spatial overlays with land use data, urban regions, farmland, population data, and counts of roofed homes. The analysis results in GEE reveal the potential damaging area prone to hailstorm passage. This is the first attempt in Thailand to create an hourly hailstorm product and integrate it into the Geographic Information System (GIS) using GEE’s cloud-based platform. This invention can annually support local organizations in disaster monitoring, impact assessment, and adaptation to hail-related events.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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