基于自然和人为条件的互联植被区火灾危险度评估地理信息系统

V.A. Glagolev
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引用次数: 0

摘要

在建立自然和人为条件下互联植被区火灾发生确定性概率模型的基础上,构建了由数据库和开放数据获取、相邻小区搜索、气象和人为火险计算、护林措施调控等组成的地理信息系统。数据库包含有关植被火灾的信息、来自水文气象站和人为来源的数据。为了考虑连通区域对火灾危险的影响,采用了植被小区搜索算法,并将其与地理信息系统块进行了集成。地理信息系统的体系结构基于三层分布,包括具有API访问支持的数据库服务器、应用程序代理和用于计算结果可视化的应用程序。API服务器存储可通过应用程序交换协议访问的开源结构化数据,应用程序代理包含用于数据收集、指标计算及其在第三方应用程序中的可视化的功能。为了构建电子地图,使用了来自OpenStreetMap资源的开放数据,用于WSG 84制图投影中的俄罗斯联邦地区。根据2013 - 2022年MODIS卫星监测数据,获得单个植被火灾。火灾的属性数据包含标识符、中心坐标、着火区域、检测和消除日期、森林和非森林区域。该系统的验证计划在2023-2024年消防季节进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GEOINFORMATION SYSTEM FOR ASSESSING THE OCCURRENCE OF FIRE DANGER OF INTERCONNECTED VEGETATION AREAS ACCORDING TO NATURAL AND ANTHROPOGENIC CONDITIONS
On the basis of a deterministic-probabilistic model for assessing the occurrence of fires of interconnected vegetation areas according to natural and anthropogenic conditions, a geoinformation system has been developed, consisting of a database and blocks for access to open data and searching adjacent neighborhoods, calculating meteorological and anthropogenic fire danger, and for regulating forest protection measures. Databases contain information about vegetation fires, data from hydrometeorological stations and anthropogenic sources. To account for the influence of interconnected areas on fire danger, a complex with an algorithm for searching vegetation quarters was used and its integration with the blocks of the geoinformation system was carried out. The architecture of the geoinformation system is based on a three-tier distribution, including a database server with API access support, an application broker and an application for visualization of calculation results. The API server stores structured data from open sources accessible via application exchange protocols, the application broker contains functions for data collection, calculation of indicators and their visualization in third-party applications. To build electronic maps, open data from the OpenStreetMap resource for the districts of the Russian Federation in the WSG 84 cartographic projection was used. Individual vegetation fires were obtained according to MODIS satellite monitoring data from 2013 to 2022. The attribute data of fires contain the identifier, the coordinates of the center, the area of ignition, the date of detection and elimination, the forest and non-forest area. Verification of the system is planned to be carried out in the fire season 2023–2024.
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