DOI: 10.1016/j.jag.2014.02.006
Scopus记录号: 2-s2.0-84904489366
论文题名: Tree species mapping in tropical forests using multi-temporal imaging spectroscopy: Wavelength adaptive spectral mixture analysis
作者: Somers B ; , Asner G ; P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 31, 期: 1 起始页码: 57
结束页码: 66
语种: 英语
英文关键词: Hyperion
; Hyperspectral
; MESMA
; Morellafaya
; Phenology
; Psidium cattleianum
Scopus关键词: accuracy assessment
; Hyperion
; image analysis
; mapping
; phenology
; pixel
; species inventory
; spectroscopy
; temporal analysis
; time series
; tree
; tropical forest
; wavelength
; Hawaiian Islands
英文摘要: The use of imaging spectroscopy for florisic mapping of forests is complicated by the spectral similarity among co-existing species. Here we evaluated an alternative spectral unmixing strategy combining a time series of EO-1 Hyperion images and an automated feature selection in Multiple Endmember Spectral Mixture Analysis (MESMA). The temporal analysis provided a way to incorporate species phenology while feature selection indicated the best phenological time and best spectral feature set to optimize the separability between tree species. Instead of using the same set of spectral bands throughout the image which is the standard approach in MESMA, our modified Wavelength Adaptive Spectral Mixture Analysis (WASMA) approach allowed the spectral subsets to vary on a per pixel basis. As such we were able to optimize the spectral separability between the tree species present in each pixel. The potential of the new approach for floristic mapping of tree species in Hawaiian rainforests was quantitatively assessed using both simulated and actual hyperspectral image time-series. With a Cohen's Kappa coefficient of 0.65, WASMA provided a more accurate tree species map compared to conventional MESMA (Kappa = 0.54; p-value<0.05. The flexible or adaptive use of band sets in WASMA provides an interesting avenue to address spectral similarities in complex vegetation canopies. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79701
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Environmental Sciences, Division Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E - Bus 2411, B-3001 Leuven, Belgium; Flemish Institute for Technological Research (VITO), Centre for Remote Sensing and Earth Observation Processes (TAP), Boeretang 200, BE-2400 Mol, Belgium; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305, United States
Recommended Citation:
Somers B,, Asner G,P. Tree species mapping in tropical forests using multi-temporal imaging spectroscopy: Wavelength adaptive spectral mixture analysis[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,31(1)