气候变化领域集成服务门户(CCPortal): A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records

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DOI	10.1016/j.rse.2019.111600
	A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records
	Li F.; Zhang X.; Kondragunta S.; Schmidt C.C.; Holmes C.D.
发表日期	2020
ISSN	00344257
卷号	237
英文摘要	Satellite-based active fire data provide indispensable information for monitoring global fire activity and understanding its impacts on climate and air quality. Yet the limited spatiotemporal sampling capacities of current satellites result in considerable uncertainties in fire observation and emissions estimation. The mitigation of these uncertainties mainly relies on new remote-sensing technology. The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite-R (GOES-R) Series observes fires across North and South Americas at an unprecedentedly spatiotemporal resolution of nominal 2 km every 5–15 min. This study evaluated the GOES-16 (the first GOES-R satellite) ABI active fire product using active fire data derived from the 30-m Landsat-8 and the 375-m and 750-m Visible Infrared Imaging Radiometer Suite (VIIRS), and ground-based burning data across the southeastern Conterminous United States (CONUS) during the 2018 peak fire season. Specifically, we characterized the overall fire detection performance of the ABI active fire detections, estimated omission and commission errors, and evaluated ABI fire radiative power (FRP). The results showed that the ABI fire detection probability and its omission and commission errors were highly related to fire size and temporal period. ABI detection probability was higher than 95% for the fire pixel that contained over 114 Landsat-8 (30 m) fire detections or 11 VIIRS (375 m) detections. During a period of ±8 h, ABI detected 19% and 29% more fires observed by Landsat-8 and 375-m VIIRS, respectively. Correspondingly, the omission error could reduce by up to 33%. Further, ABI was able to detect 6–22% and 31–42% more ground-recorded fires than VIIRS in Georgia and Florida States, respectively, but ABI still missed many very small fires because ABI was hard to detect fires smaller than ~34.5 MW. Additionally, compared with 750-m VIIRS FRP, ABI FRP was ~30–50% larger in individual fire events but was overall similar at a regional scale. © 2019 Elsevier Inc.
英文关键词	Active fire product evaluation; GOES-16; Landsat8; Southeastern CONUS; VIIRS
语种	英语
scopus关键词	Air quality; Errors; Fire detectors; Geostationary satellites; Image sensors; Remote sensing; Thermography (imaging); Weather satellites; Active fires; GOES-16; Landsat8; Southeastern CONUS; VIIRS; Fires; baseline survey; biomass burning; EOS; image analysis; Landsat; monitoring system; satellite imagery; uncertainty analysis; VIIRS; Florida [United States]; Georgia; United States
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/179508
作者单位	Geospatial Sciences Center of Excellence, Department of Geography, South Dakota State University, Brookings, SD 57007, United States; NOAA/NESDIS/Center for Satellite Applications and Research, College Park, MD 20740, United States; Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin-Madison, Madison, WI 53706, United States; Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL 32306, United States
推荐引用方式 GB/T 7714	Li F.,Zhang X.,Kondragunta S.,et al. A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records[J],2020,237.
APA	Li F.,Zhang X.,Kondragunta S.,Schmidt C.C.,&Holmes C.D..(2020).A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records.Remote Sensing of Environment,237.
MLA	Li F.,et al."A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records".Remote Sensing of Environment 237(2020).