气候变化领域集成服务门户(CCPortal): Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal

CCPortal

DOI	10.1016/j.jag.2018.12.003
	Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal
	Marcos B.; Gonçalves J.; Alcaraz-Segura D.; Cunha M.; Honrado J.P.
发表日期	2019
ISSN	15698432
起始页码	77
结束页码	85
卷号	78
英文摘要	Wildfires constitute an important threat to human lives and livelihoods worldwide, as well as a major ecological disturbance. However, available wildfire databases often provide incomplete or inaccurate information, namely regarding the timing and extension of fire events. In this study, we described a generic framework to compare, rank and combine multiple remotely-sensed indicators of wildfire disturbances, in order to not only select the best indicators for each specific case, as well as to provide multi-indicator consensus approaches that can be used to detect wildfire disturbances in space and time. For this end, we compared the performance of different remotely-sensed variables to discriminate burned areas, by applying a simple change-point analysis procedure on time-series of MODIS imagery for the northern half of Portugal, without external information (e.g. active fire maps). Overall, our results highlight the importance of adopting a multi-indicator consensus approach for mapping and detecting wildfire disturbances at a regional scale, that allows to profit from spectral indices capturing different aspects of the Earth's surface, and derived from distinct regions of the electromagnetic spectrum. Finally, we argue that the framework here described can be used: (i) in a wide variety of geographical and environmental contexts; (ii) to support the identification of the best possible remotely-sensed functional indicators of wildfire disturbance; and (iii) for improving and complementing incomplete wildfire databases. © 2018 Elsevier B.V.
英文关键词	Burn date estimation; Burned area mapping; LST; Spectral indices; TCT; Wildfire disturbance
语种	英语
scopus关键词	disturbance; estimation method; mapping method; MODIS; remote sensing; spectral analysis; wildfire; Portugal
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156465
作者单位	Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO-CIBIO), Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, Vairão, 4485-661, Portugal; Faculdade de Ciências, Universidade do Porto, Rua Campo Alegre s/n, Porto, 4169-007, Portugal; Dept. of Botany, Faculty of Sciences, University of Granada, Av. Fuentenueva, Granadam, 18071, Spain; iecolab. Interuniversitary Institute for Earth System Research (IISTA), University of Granada, Av. del Mediterráneo, Granada, 18006, Spain; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Universidad de Almería, Crta. San Urbano, Almería, 04120, Spain; Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal
推荐引用方式 GB/T 7714	Marcos B.,Gonçalves J.,Alcaraz-Segura D.,et al. Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal[J],2019,78.
APA	Marcos B.,Gonçalves J.,Alcaraz-Segura D.,Cunha M.,&Honrado J.P..(2019).Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal.International Journal of Applied Earth Observation and Geoinformation,78.
MLA	Marcos B.,et al."Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal".International Journal of Applied Earth Observation and Geoinformation 78(2019).