气候变化领域集成服务门户(CCPortal): A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas

CCPortal

DOI	10.1016/j.rse.2020.112115
	A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas
	Campagnolo M.L.; Libonati R.; Rodrigues J.A.; Pereira J.M.C.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Daily global burned area mapping of Earth from remotely sensed data is of considerable interest and indicates a clear user need, despite well-known accuracy limitations. Many studies report global and regional indicators of spatial and temporal accuracy to evaluate the quality of burned area products, but tend to rely on relatively sparse validation data. In this paper, an extensive validation data set covering 223 million ha over the Brazilian Cerrado for the 2015 fire season is used to thoroughly evaluate how the accuracy of burned area products relying on distinct spectral channels (SWIR+NIR versus NIR) and spatial resolution (250 m, 500 m, and both) depends on fire size. Toward this end, we consider publicly available burned area products MCD64A1 (v006) at 500 m and FireCCI51 at 250 m and use a recently proposed graph-based patch algorithm, which is flexible enough to combine 250–500 m bands. The trade-off between spatial resolution and spectral channels for the problem at hand reveals that better spatial resolution (NIR at 250 m) is preferable to a broader range of spectral channels (NIR + SWIR at 500 m) for small burns (<250 ha), but that this relation is not preserved for large burns (>1000 ha). Also, this study shows that combining both spectral indices into a single classifier leads to the most accurate burned area map. The analysis by land cover type indicates that overall accuracy is highest for grasslands and savannas, with grasslands benefiting the most from the use of SWIR bands. Results also indicate that burned areas can be classified with accuracy measured by the Dice Coefficient close to 80% for fire sizes larger than 500 ha, which corresponds to 60% of the total burned area, but accuracy lower than 36% for fire sizes smaller than 250 ha. In particular, our analysis suggests that the validation of burned area products always should be linked to the description of fire size distribution since it is a fundamental driver of accuracy. Results show that MODIS daily burned area mapping at 250–500 m spatial resolution can exhibit high temporal accuracy, with almost unbiased estimates and standard deviation close to 1.5 days, indicating an accurate characterization of the spread of large fires. © 2020 Elsevier Inc.
英文关键词	Accuracy; Burned area mapping; Fire size; Land cover; MODIS; Tropical savanna
语种	英语
scopus关键词	Economic and social effects; Fires; Graph algorithms; Image resolution; Infrared devices; Mapping; Radiometers; Tropics; Accuracy limitations; Burned-area mapping; Overall accuracies; Remotely sensed data; Spatial resolution; Spectral channels; Standard deviation; Unbiased estimates; Quality control; accuracy assessment; algorithm; data set; estimation method; grassland; land cover; model validation; MODIS; savanna; spatial resolution; trade-off
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/179087
作者单位	Forest Research Centre, School of Agriculture, University of Lisbon, Portugal; Department of Meteorology, Federal University of Rio de Janeiro, Brazil, Brazil
推荐引用方式 GB/T 7714	Campagnolo M.L.,Libonati R.,Rodrigues J.A.,et al. A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas[J],2021,252.
APA	Campagnolo M.L.,Libonati R.,Rodrigues J.A.,&Pereira J.M.C..(2021).A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas.Remote Sensing of Environment,252.
MLA	Campagnolo M.L.,et al."A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas".Remote Sensing of Environment 252(2021).