S.P. Seitzinger , E. Chuvieco , F. Di Giuseppe , A. Bombelli , C. Cagnazzo , S. Harris , N. Tapper
{"title":"野火适应中基本气候变量的地球观测相关性","authors":"S.P. Seitzinger , E. Chuvieco , F. Di Giuseppe , A. Bombelli , C. Cagnazzo , S. Harris , N. Tapper","doi":"10.1016/j.rse.2025.115082","DOIUrl":null,"url":null,"abstract":"<div><div>Wildfire extent and intensity are changing globally, driven by climate and socio-economic changes. Data across local to global scales are needed to support wildfire adaptation, yet comprehensive analysis of the main variables controlling multiple dimensions of wildfire risk including availability of global data for those variables is lacking. This review examines key variables influencing wildfire risk including fire danger (ignition and propagation), exposure and social and ecosystem vulnerability - the latter two often missing from fire risk analyses. We propose spatial and temporal requirements for these variables, a major gap in the literature, to support adaptation to future conditions. We assess which variables are monitored by national observation networks and evaluate the extent to which the Global Climate Observing System (GCOS) Essential Climate Variables (ECVs), traditionally used for climate system modeling, meet wildfire adaptation needs.</div><div>We identified 30 key wildfire risk variables, 25 of which are represented by GCOS ECV products within 18 ECVs. Cross-product analysis showed most are relevant to multiple wildfire risk components (ignition, propagation, exposure, societal and ecological vulnerability) and that many relevant to fire danger (ignition and propagation) also inform exposure and vulnerability. Currently, 20 key variables are operationally monitored by space agency satellites, with global coverage at estimated temporal and/or spatial resolution available for at least half of variables in each risk component, except exposure. Future research directions and global observation needs to strengthen wildfire adaptation challenges are identified. This work supports UNFCCC and Paris Agreement calls to identify observations needs for climate adaptation.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"332 ","pages":"Article 115082"},"PeriodicalIF":11.4000,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relevance of earth observations of essential climate variables in wildfire adaptation\",\"authors\":\"S.P. Seitzinger , E. Chuvieco , F. Di Giuseppe , A. Bombelli , C. Cagnazzo , S. Harris , N. Tapper\",\"doi\":\"10.1016/j.rse.2025.115082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Wildfire extent and intensity are changing globally, driven by climate and socio-economic changes. Data across local to global scales are needed to support wildfire adaptation, yet comprehensive analysis of the main variables controlling multiple dimensions of wildfire risk including availability of global data for those variables is lacking. This review examines key variables influencing wildfire risk including fire danger (ignition and propagation), exposure and social and ecosystem vulnerability - the latter two often missing from fire risk analyses. We propose spatial and temporal requirements for these variables, a major gap in the literature, to support adaptation to future conditions. We assess which variables are monitored by national observation networks and evaluate the extent to which the Global Climate Observing System (GCOS) Essential Climate Variables (ECVs), traditionally used for climate system modeling, meet wildfire adaptation needs.</div><div>We identified 30 key wildfire risk variables, 25 of which are represented by GCOS ECV products within 18 ECVs. Cross-product analysis showed most are relevant to multiple wildfire risk components (ignition, propagation, exposure, societal and ecological vulnerability) and that many relevant to fire danger (ignition and propagation) also inform exposure and vulnerability. Currently, 20 key variables are operationally monitored by space agency satellites, with global coverage at estimated temporal and/or spatial resolution available for at least half of variables in each risk component, except exposure. Future research directions and global observation needs to strengthen wildfire adaptation challenges are identified. This work supports UNFCCC and Paris Agreement calls to identify observations needs for climate adaptation.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"332 \",\"pages\":\"Article 115082\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725004869\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725004869","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Relevance of earth observations of essential climate variables in wildfire adaptation
Wildfire extent and intensity are changing globally, driven by climate and socio-economic changes. Data across local to global scales are needed to support wildfire adaptation, yet comprehensive analysis of the main variables controlling multiple dimensions of wildfire risk including availability of global data for those variables is lacking. This review examines key variables influencing wildfire risk including fire danger (ignition and propagation), exposure and social and ecosystem vulnerability - the latter two often missing from fire risk analyses. We propose spatial and temporal requirements for these variables, a major gap in the literature, to support adaptation to future conditions. We assess which variables are monitored by national observation networks and evaluate the extent to which the Global Climate Observing System (GCOS) Essential Climate Variables (ECVs), traditionally used for climate system modeling, meet wildfire adaptation needs.
We identified 30 key wildfire risk variables, 25 of which are represented by GCOS ECV products within 18 ECVs. Cross-product analysis showed most are relevant to multiple wildfire risk components (ignition, propagation, exposure, societal and ecological vulnerability) and that many relevant to fire danger (ignition and propagation) also inform exposure and vulnerability. Currently, 20 key variables are operationally monitored by space agency satellites, with global coverage at estimated temporal and/or spatial resolution available for at least half of variables in each risk component, except exposure. Future research directions and global observation needs to strengthen wildfire adaptation challenges are identified. This work supports UNFCCC and Paris Agreement calls to identify observations needs for climate adaptation.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.