DOI: 10.1016/j.jag.2013.08.007
Scopus记录号: 2-s2.0-84897578383
论文题名: Using in situ spectra to explore landsat classification of glacier surfaces
作者: Pope A ; , Rees G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 27, 期: PARTA 起始页码: 42
结束页码: 52
语种: 英语
英文关键词: Albedo
; Glacier
; Landsat
; Multispectral
; Remote sensing
; Surface classification
Scopus关键词: albedo
; climate change
; energy balance
; glacier dynamics
; hydrological cycle
; image classification
; in situ measurement
; Landsat thematic mapper
; mass balance
; principal component analysis
; remote sensing
; spectral analysis
; Arctic
; Iceland
; Langjokull
; Svalbard
; Svalbard and Jan Mayen
英文摘要: Glaciers are key to understanding the world's hydrological cycle as well as regional and global climatechange. Glacier surfaces metamorphose into a range of zones which have implications for surface energy balance and can be used as a proxy for a glacier's mass balance. Multispectral images (in particular Landsatdata) have been extensively used to classify and study glacier surfaces. This study uses full-spectrumin situ surface reflectance data from Midtre Lovénbreen (Svalbard) and Langjökull (Iceland) which arecombined with Landsat ETM+ imagery to inform and explore glacier surface classification.Qualitative comparison of in situ data and unsupervised classifications shows that while visible andnear-infrared (VNIR, ~ 350-1350 nm) compared to shortwave-infrared (SWIR, ~ 1500-2500 nm) is impor-tant for identifying glacier vs. non-glacier, the VNIR wavelengths are crucial for distinguishing glaciersurface classes. Principal component analysis (PCA) of the spectra indicates that only two PCs are requiredto segment a "clean" glacier surface and a third PC is necessary on ash-covered glaciers. Simulation of ETM+ data led to new linear band combinations (LCs) that are transferable both temporally and spa-tially, and comparisons are drawn with existing techniques. For clean glaciers, while LC1 contains theprimary information, it is only through combination with LC2 that delineations can begin to be success-fully drawn. Landsat's ETM+ has sufficient spectral resolution to accomplish this task, but this is notthe case for a glacier with ash or other significant debris cover. Further studies should investigate othersensor-specific indices, the suitability of various quantitative clustering techniques, and the impact thatpixel/footprint size may have on these conclusions. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79786
Appears in Collections: 气候变化事实与影响
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作者单位: Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge CB2 1ER, United Kingdom
Recommended Citation:
Pope A,, Rees G. Using in situ spectra to explore landsat classification of glacier surfaces[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,27(PARTA)