DOI: 10.1016/j.jag.2014.02.011
Scopus记录号: 2-s2.0-84904468559
论文题名: Fusion of pan-tropical biomass maps using weighted averaging andregional calibration data
作者: Ge Y ; , Avitabile V ; , Heuvelink G ; B ; , Wang J ; , Herold M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 31, 期: 1 起始页码: 13
结束页码: 24
语种: 英语
英文关键词: Accuracy
; Biomass maps
; Fusion model
; Spatial variability
Scopus关键词: accuracy assessment
; biomass
; calibration
; comparative study
; land cover
; mapping method
; numerical method
; remote sensing
; spatial variation
; East Africa
英文摘要: Biomass is a key environmental variable that influences many biosphere-atmosphere interactions.Recently, a number of biomass maps at national, regional and global scales have been produced using dif-ferent approaches with a variety of input data, such as from field observations, remotely sensed imageryand other spatial datasets. However, the accuracy of these maps varies regionally and is largely unknown.This research proposes a fusion method to increase the accuracy of regional biomass estimates by usinghigher-quality calibration data. In this fusion method, the biases in the source maps were first adjusted tocorrect for over- and underestimation by comparison with the calibration data. Next, the biomass mapswere combined linearly using weights derived from the variance-covariance matrix associated with theaccuracies of the source maps. Because each map may have different biases and accuracies for differentland use types, the biases and fusion weights were computed for each of the main land cover types sepa-rately. The conceptual arguments are substantiated by a case study conducted in East Africa. Evaluationanalysis shows that fusing multiple source biomass maps may produce a more accurate map than whenonly one biomass map or unweighted averaging is used. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79694
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Laboratory of Geo-information Science and Remote Sensing, Wageningen University, Wageningen, Netherlands; Soil Geography and Landscape group, Wageningen University, Wageningen, Netherlands
Recommended Citation:
Ge Y,, Avitabile V,, Heuvelink G,et al. Fusion of pan-tropical biomass maps using weighted averaging andregional calibration data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,31(1)