气候变化领域集成服务门户(CCPortal): Overview of the performance of satellite fire products in China: Uncertainties and challenges

CCPortal

DOI	10.1016/j.atmosenv.2021.118838
	Overview of the performance of satellite fire products in China: Uncertainties and challenges
	Chen J.; Li R.; Tao M.; Wang L.; Lin C.; Wang J.; Wang L.; Wang Y.; Chen L.
发表日期	2022
ISSN	1352-2310
卷号	268
英文摘要	Satellite fire observations provide an essential constraint for the estimation of global biomass burning emissions. In this study, we present a comprehensive insight into the performance of the common satellite fire products in eastern China. Despite consistent spatial patterns, both polar-orbiting and geostationary satellite observations have large omission errors for the agricultural burning fires. Owing to a coarse resolution of 2 km, approximately 90% of the concurrent 375 m Visible infrared Imaging Radiometer (VIIRS) fires are not detected in Himawari-8 products. Nevertheless, the total amount of daily Himawari-8 fires is much higher than those of VIIRS and 1 km Moderate resolution imaging spectroradiometer (MODIS). The peak time of diurnal fire counts in eastern China has obvious seasonal variations, some of which are missed by polar-orbiting satellite detection. Validation by 3 m PlanetScope images shows that VIIRS and MODIS have a very high accuracy in detecting crop straw burning fires. However, Himawari-8 fires have obvious false alarms due largely to their algorithm defects. Also, the coarse resolution of Himawari-8 tends to make fire detection more likely to be obscured by dense smoke. The unmanned aerial vehicle (UAV) supervisions reveal prevalent small agricultural fires (<0.5 × 104 m2) in the extensive croplands that are not detected in the common satellite fires. As control measures get more stringent, spatial-temporal patterns as well as the scales of biomass burning activities in China have undergone dramatic changes. Considering the crucial role of satellite fires in estimating biomass burning emissions, it is necessary to improve satellite fire detection with more advanced observations and retrieval methods. © 2021 Elsevier Ltd
关键词	Biomass burning Eastern China Evaluation Fire detection Satellite
语种	英语
scopus关键词	Agriculture; Aircraft detection; Antennas; Biomass; Fire detectors; Geostationary satellites; Orbits; Smoke; Thermography (imaging); Unmanned aerial vehicles (UAV); Biomass burning emissions; Biomass-burning; Coarser resolution; Eastern China; Evaluation; Fire detection; Fire products; Moderate-resolution imaging spectroradiometers; Performance; Uncertainty; Fires; biomass burning; global warming; MODIS; satellite altimetry; satellite data; seasonal variation; spatiotemporal analysis; VIIRS; algorithm bias; biomass production; China; circadian rhythm; colorimetry; combustion; controlled study; crop management; cropland; density; detection algorithm; environmental monitoring; falling; false positive result; forest; forest fire; frequency; geographic mapping; grassland; high temperature; image quality; intermethod comparison; land use; limit of detection; measurement accuracy; measurement error; measurement precision; prevalence; satellite imagery; savanna; seasonal variation; smoke; spatiotemporal analysis; summer; thermography; time factor; time series analysis; uncertainty; unmanned aerial vehicle; weather; wetland; wildfire; China
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248133
作者单位	Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China; School of Resources and Environmental Science, Hubei University, Wuhan, 430062, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong999077, China; Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, United States; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China
推荐引用方式 GB/T 7714	Chen J.,Li R.,Tao M.,et al. Overview of the performance of satellite fire products in China: Uncertainties and challenges[J],2022,268.
APA	Chen J..,Li R..,Tao M..,Wang L..,Lin C..,...&Chen L..(2022).Overview of the performance of satellite fire products in China: Uncertainties and challenges.ATMOSPHERIC ENVIRONMENT,268.
MLA	Chen J.,et al."Overview of the performance of satellite fire products in China: Uncertainties and challenges".ATMOSPHERIC ENVIRONMENT 268(2022).