DOI: 10.1016/j.jag.2016.06.023
Scopus记录号: 2-s2.0-84997765978
论文题名: Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data
作者: Liu N ; , Treitz P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 445
结束页码: 456
语种: 英语
英文关键词: Arctic vegetation
; Camera
; Normalized difference vegetation index (NDVI)
; Object-based image analysis (OBIA)
; Percent vegetation cover (PVC)
Scopus关键词: digital image
; image analysis
; modeling
; NDVI
; resolution
; satellite data
; vegetation cover
; Arctic
; Bryophyta
; Carex
英文摘要: In this study, digital images collected at a study site in the Canadian High Arctic were processed and classified to examine the spatial-temporal patterns of percent vegetation cover (PVC). To obtain the PVC of different plant functional groups (i.e., forbs, graminoids/sedges and mosses), field near infrared-green-blue (NGB) digital images were classified using an object-based image analysis (OBIA) approach. The PVC analyses comparing different vegetation types confirmed: (i) the polar semi-desert exhibited the lowest PVC with a large proportion of bare soil/rock cover; (ii) the mesic tundra cover consisted of approximately 60% mosses; and (iii) the wet sedge consisted almost exclusively of graminoids and sedges. As expected, the PVC and green normalized difference vegetation index (GNDVI; (RNIR − RGreen)/(RNIR + RGreen)), derived from field NGB digital images, increased during the summer growing season for each vegetation type: i.e., ∼5% (0.01) for polar semi-desert; ∼10% (0.04) for mesic tundra; and ∼12% (0.03) for wet sedge respectively. PVC derived from field images was found to be strongly correlated with WorldView-2 derived normalized difference spectral indices (NDSI; (Rx − Ry)/(Rx + Ry)), where Rx is the reflectance of the red edge (724.1 nm) or near infrared (832.9 nm and 949.3 nm) bands; Ry is the reflectance of the yellow (607.7 nm) or red (658.8 nm) bands with R2’s ranging from 0.74 to 0.81. NDSIs that incorporated the yellow band (607.7 nm) performed slightly better than the NDSIs without, indicating that this band may be more useful for investigating Arctic vegetation that often includes large proportions of senescent vegetation throughout the growing season. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80012
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography and Planning, Queen's University, Kingston, ON, Canada
Recommended Citation:
Liu N,, Treitz P. Modelling high arctic percent vegetation cover using field digital images and high resolution satellite data[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52