气候变化领域集成服务门户(CCPortal): A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data

CCPortal

DOI	10.1016/j.rse.2019.111493
	A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
	Lizundia-Loiola J.; Otón G.; Ramo R.; Chuvieco E.
发表日期	2020
ISSN	00344257
卷号	236
英文摘要	This paper presents the generation of a global burned area mapping algorithm using MODIS hotspots and near-infrared reflectance within ESA's Fire_cci project. The algorithm is based on a hybrid approach that combines MODIS highest resolution (250 m) near-infrared band and active fire information from thermal channels. The burned area is detected in two phases. In the first step, pixels with a high probability of being burned are selected in order to reduce commission errors. To do that, spatio-temporal active-fire clusters are created to determine adaptive thresholds. Finally, a contextual growing approach is applied from those pixels to the neighbouring area to fully detect the burned patch and reduce omission errors. The algorithm was used to obtain a time series of global burned area dataset (named FireCCI51), covering the 2001–2018 period. Validation based on 1200 sampled sites covering the period from 2003 to 2014 showed an average omission and commission errors of 67.1% and 54.4%. When using longer validation periods, the errors were found smaller (54.5% omission and 25.7% commission for the additional 1000 African sampled sites), which indicates that the product is negatively influenced by temporal reporting accuracy. The inter-comparison carried out with previous Fire_cci versions (FireCCI41 and FireCCI50), and NASA's standard burned area product (MCD64A1 c6) showed consistent spatial and temporal patterns. However, the new algorithm estimated an average BA of 4.63 Mkm2, with a maximum of 5.19 Mkm2 (2004) and a minimum of 3.94 Mkm2 (in 2001), increasing current burned area estimations. Besides, the new product was found more sensitive to detect smaller burned patches. This new product, called FireCCI51, is publicly available at: http://cci.esa.int/data, last accessed on September 2019. © 2019 The Authors
英文关键词	Active fire; Algorithm; Burned area mapping; MODIS
语种	英语
scopus关键词	Algorithms; Conformal mapping; Errors; Fires; Infrared devices; NASA; Pixels; Active fires; Adaptive thresholds; Burned-area mapping; Highest resolutions; MODIS; Near infra-red reflectances; Omission and commission errors; Spatial and temporal patterns; Radiometers; algorithm; fire; mapping; MODIS; near infrared; pixel; reflectance; spatiotemporal analysis
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179581
作者单位	Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcalá, Calle Colegios 2, Alcalá de Henares, 28801, Spain
推荐引用方式 GB/T 7714	Lizundia-Loiola J.,Otón G.,Ramo R.,等. A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data[J],2020,236.
APA	Lizundia-Loiola J.,Otón G.,Ramo R.,&Chuvieco E..(2020).A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data.Remote Sensing of Environment,236.
MLA	Lizundia-Loiola J.,et al."A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data".Remote Sensing of Environment 236(2020).