基于GEE平台的热带气旋服务客户端设计与实现  

Design and Implementation of Tropical Cyclone Service Client Based on GEE Platform

作　　者：周佳佳 胡海[1] ZHOU Jiajia;HU Hai(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《地理空间信息》2022年第5期139-144,共6页Geospatial Information

基　　金：国家重点研发计划资助项目(2017YFB0503500);国家自然科学基金资助项目(41571395、41471328)。

摘　　要：通过Google Earth Engine(GEE)平台的Javascript API设计并实现了基于Web的热带气旋服务客户端,能快速实现热带气旋中心位置计算、相关云参量计算和信息可视化,提供全球热带气旋查询服务,从而辅助气象部门的热带气旋监测预报,传播用户相关知识。其中,热带气旋定位方法结合了云图中热带气旋云系的几何形态特征和卫星红外波段反演的云宏观参量,以北大西洋2017—2018年热带气旋中心位置提取为实验,将定位结果与最佳路径数据集进行对比,结果证明了该算法的有效性。Through the Javascript API of Google Earth Engine(GEE) platform, a web-based tropical cyclone service client was designed and implemented, which could quickly achieve the location of tropical cyclone, relevant cloud parameter calculation and information visualization. The client can provide global tropical cyclone query service, assist the meteorological department’s tropical cyclone monitoring and forecasting, and disseminate relevant knowledge to users. The location method of tropical cyclone combines geometric characteristics of tropical cyclone cloud in images and cloud macro parameters retrieved from satellite infrared bands. Taking the location of North Atlantic tropical cyclone center from2017 to 2018 as an experiment, we compared the results with the best path dataset, which shows the algorithm effectiveness.

关 键 词：GEE 客户端 热带气旋 几何特征 云宏观参量 

分 类 号：P237[天文地球—摄影测量与遥感]