DOI: 10.1016/j.jag.2014.10.008
Scopus记录号: 2-s2.0-84924298708
论文题名: Mapping forest biomass from space - Fusion of hyperspectralEO1-hyperion data and Tandem-X and WorldView-2 canopy heightmodels
作者: Kattenborn T ; , Maack J ; , Faßnacht F ; , Enßle F ; , Ermert J ; , Koch B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 359
结束页码: 367
语种: 英语
英文关键词: Biomass modelling
; Canopy height models
; Hyperspectral
; Machine-learning-algorithms
; Tandem-X
; Worldview-2
Scopus关键词: algorithm
; biomass
; forest canopy
; forest dynamics
; satellite data
; satellite imagery
; TanDEM-X
; vegetation mapping
; WorldView
; Baden-Wurttemberg
; Germany
; Karlsruhe
英文摘要: Spaceborne sensors allow for wide-scale assessments of forest ecosystems. Combining the products ofmultiple sensors is hypothesized to improve the estimation of forest biomass. We applied interferometric(Tandem-X) and photogrammetric (WorldView-2) based predictors, e.g. canopy height models, in com-bination with hyperspectral predictors (EO1-Hyperion) by using 4 different machine learning algorithmsfor biomass estimation in temperate forest stands near Karlsruhe, Germany. An iterative model selectionprocedure was used to identify the optimal combination of predictors. The most accurate model (RandomForest) reached a r2 of 0.73 with a RMSE of 14.9% (29.4 t/ha). Further results revealed that the predictiveaccuracy depended highly on the statistical model and the area size of the field samples. We concludethat a fusion of canopy height and spectral information allows for accurate estimations of forest biomassfrom space. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79552
Appears in Collections: 气候变化事实与影响
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作者单位: Chair of Remote Sensing and Landscape Information Systems (FeLis), Albert-Ludwigs-University Freiburg, Germany; Institute for Geography and Geoecology (IfGG), Karlsruhe Institute of Technology (KIT), Germany
Recommended Citation:
Kattenborn T,, Maack J,, Faßnacht F,et al. Mapping forest biomass from space - Fusion of hyperspectralEO1-hyperion data and Tandem-X and WorldView-2 canopy heightmodels[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)