DOI: 10.1016/j.jag.2017.09.011
Scopus记录号: 2-s2.0-85032229011
论文题名: Burned area detection based on Landsat time series in savannas of southern Burkina Faso
作者: Liu J ; , Heiskanen J ; , Maeda E ; E ; , Pellikka P ; K ; E
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64 起始页码: 210
结束页码: 220
语种: 英语
英文关键词: Breakpoint identification
; Burned area
; Harmonic model
; Landsat time series
; MODIS
Scopus关键词: algorithm
; biodiversity
; burning
; carbon balance
; decision making
; detection method
; harmonic analysis
; land management
; Landsat
; mapping
; MODIS
; savanna
; time series analysis
; vegetation structure
; Burkina Faso
英文摘要: West African savannas are subject to regular fires, which have impacts on vegetation structure, biodiversity and carbon balance. An efficient and accurate mapping of burned area associated with seasonal fires can greatly benefit decision making in land management. Since coarse resolution burned area products cannot meet the accuracy needed for fire management and climate modelling at local scales, the medium resolution Landsat data is a promising alternative for local scale studies. In this study, we developed an algorithm for continuous monitoring of annual burned areas using Landsat time series. The algorithm is based on burned pixel detection using harmonic model fitting with Landsat time series and breakpoint identification in the time series data. This approach was tested in a savanna area in southern Burkina Faso using 281 images acquired between October 2000 and April 2016. An overall accuracy of 79.2% was obtained with balanced omission and commission errors. This represents a significant improvement in comparison with MODIS burned area product (67.6%), which had more omission errors than commission errors, indicating underestimation of the total burned area. By observing the spatial distribution of burned areas, we found that the Landsat based method misclassified cropland and cloud shadows as burned areas due to the similar spectral response, and MODIS burned area product omitted small and fragmented burned areas. The proposed algorithm is flexible and robust against decreased data availability caused by clouds and Landsat 7 missing lines, therefore having a high potential for being applied in other landscapes in future studies. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79918
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geosciences and Geography, University of Helsinki, P.O. Box 68, Finland; Department of Environmental Sciences, Fisheries and Environmental Management Group, University of Helsinki, P.O. Box 65, Finland
Recommended Citation:
Liu J,, Heiskanen J,, Maeda E,et al. Burned area detection based on Landsat time series in savannas of southern Burkina Faso[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64