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加拿大野火卫星任务的用户需求开发。

Development of the User Requirements for the Canadian WildFireSat Satellite Mission.

机构信息

Canadian Forest Service, Great Lakes Forestry Centre, 1219 Queen St. E., Sault Ste. Marie, ON P6A 2E5, Canada.

Canadian Space Agency, 6767 Route de L'aéroport, Longueuil, QC J3Y 8Y9, Canada.

出版信息

Sensors (Basel). 2020 Sep 7;20(18):5081. doi: 10.3390/s20185081.

DOI:10.3390/s20185081
PMID:32906725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7571162/
Abstract

In 2019 the Canadian Space Agency initiated development of a dedicated wildfire monitoring satellite (WildFireSat) mission. The intent of this mission is to support operational wildfire management, smoke and air quality forecasting, and wildfire carbon emissions reporting. In order to deliver the mission objectives, it was necessary to identify the technical and operational challenges which have prevented broad exploitation of Earth Observation (EO) in Canadian wildfire management and to address these challenges in the mission design. In this study we emphasize the first objective by documenting the results of wildfire management end-user engagement activities which were used to identify the key Fire Management Functionalities (FMFs) required for an Earth Observation wildfire monitoring system. These FMFs are then used to define the User Requirements for the Canadian Wildland Fire Monitoring System (CWFMS) which are refined here for the WildFireSat mission. The User Requirements are divided into Observational, Measurement, and Precision requirements and form the foundation for the design of the WildFireSat mission (currently in Phase-A, summer 2020).

摘要

2019 年,加拿大航天局启动了一颗专用野火监测卫星(WildFireSat)任务的研发。该任务旨在支持野火管理的业务运行、烟雾和空气质量预测以及野火碳排放报告。为了实现任务目标,有必要确定在加拿大野火管理中阻止广泛利用地球观测(EO)的技术和操作挑战,并在任务设计中解决这些挑战。在这项研究中,我们通过记录野火管理最终用户参与活动的结果来强调第一个目标,这些活动用于确定地球观测野火监测系统所需的关键火灾管理功能(FMF)。然后,这些 FMF 用于定义加拿大野火监测系统(CWFMS)的用户需求,这里为 WildFireSat 任务进行了细化。用户需求分为观测、测量和精度需求,构成了 WildFireSat 任务设计的基础(目前处于 A 阶段,2020 年夏季)。

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本文引用的文献

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The collection 6 MODIS active fire detection algorithm and fire products.集合6中分辨率成像光谱仪(MODIS)的有源火灾探测算法及火灾产品。
Remote Sens Environ. 2016 Jun 1;178:31-41. doi: 10.1016/j.rse.2016.02.054. Epub 2016 Mar 11.
2
The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season.具备近实时生物质燃烧排放的FireWork空气质量预测系统:近期进展及对2015年北美野火季节性能的评估
J Air Waste Manag Assoc. 2016 Sep;66(9):819-41. doi: 10.1080/10962247.2016.1158214.
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