DOI: 10.1016/j.jag.2013.11.011
Scopus记录号: 2-s2.0-84897452056
论文题名: Forest tree species discrimination in western Himalaya using EO-1 Hyperion
作者: George R ; , Padalia H ; , Kushwaha S ; P ; S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 28, 期: 1 起始页码: 140
结束页码: 149
语种: 英语
英文关键词: Himalaya
; Hyperion
; Hyperspectral
; SAM
; Species discrimination
; SVM
Scopus关键词: accuracy assessment
; forest cover
; forest dynamics
; Hyperion
; Landsat thematic mapper
; satellite data
; satellite imagery
; vegetation classification
; vegetation mapping
; Himalayas
英文摘要: The information acquired in the narrow bands of hyperspectral remote sensing data has potential to capture plant species spectral variability, thereby improving forest tree species mapping. This study assessed the utility of spaceborne EO-1 Hyperion data in discrimination and classification of broadleaved evergreen and conifer forest tree species in western Himalaya. The pre-processing of 242 bands of Hyperion data resulted into 160 noise-free and vertical stripe corrected reflectance bands. Of these, 29 bands were selected through step-wise exclusion of bands (Wilk's Lambda). Spectral Angle Mapper (SAM) and Support Vector Machine (SVM) algorithms were applied to the selected bands to assess their effectiveness in classification. SVM was also applied to broadband data (Landsat TM) to compare the variation in classification accuracy. All commonly occurring six gregarious tree species, viz., white oak, brown oak, chir pine, blue pine, cedar and fir in western Himalaya could be effectively discriminated. SVM produced a better species classification (overall accuracy 82.27%, kappa statistic 0.79) than SAM (overall accuracy 74.68%, kappa statistic 0.70). It was noticed that classification accuracy achieved with Hyperion bands was significantly higher than Landsat TM bands (overall accuracy 69.62%, kappa statistic 0.65). Study demonstrated the potential utility of narrow spectral bands of Hyperion data in discriminating tree species in a hilly terrain. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79710
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Environment and Forests, Andaman and Nicobar Islands, Port Blair 744102, India; Forestry and Ecology Department, Indian Institute of Remote Sensing, ISRO, Dehradun 248001, India
Recommended Citation:
George R,, Padalia H,, Kushwaha S,et al. Forest tree species discrimination in western Himalaya using EO-1 Hyperion[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,28(1)