DOI: 10.1016/j.jag.2017.03.003
Scopus记录号: 2-s2.0-85032170920
论文题名: Comparison of lithological mapping results from airborne hyperspectral VNIR-SWIR, LWIR and combined data
作者: Feng J ; , Rogge D ; , Rivard B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64 起始页码: 340
结束页码: 353
语种: 英语
英文关键词: Airborne hyperspectral
; Geological mapping
; Long wave infrared
; Short wave infrared
; Wavelet analysis
Scopus关键词: airborne sensing
; comparative study
; geological mapping
; lithology
; wavelet analysis
; Canada
; Cape Smith Fold Belt
; Quebec [Canada]
英文摘要: This study investigates using the Airborne Hyperspectral Imaging Systems (AISA) visible and short-wave infrared (SWIR) and Spatially Enhanced Broadband Array Spectrograph System (SEBASS) longwave infrared (LWIR) (2 and 4 m spatial resolution, respectively) imagery independently and in combination to produce detailed lithologic maps in a subarctic region (Cape Smith Belt, Nunavik, Canada) where regionally metamorphosed lower greenschist mafic, ultramafic and sedimentary rocks are exposed in the presence of lichen coatings. We make use of continuous wavelet analysis (CWA) to improve the radiometric quality of the imagery through the minimization of random noise and the enhancement of spectral features, the minimization of residual errors in the ISAC radiometric correction and target temperature estimation in the case of the LWIR data, the minimization of line to line residual calibration effects that lead to inconsistencies in data mosaics, and the reduction in variability of the spectral continuum introduced by variable illumination and topography. The use of CWA also provides a platform to directly combine the wavelet scale spectral profiles of the SWIR and LWIR after applying a scalar correction factor to the LWIR such that the dynamic range of two data sets have equal weight. This is possible using CWA as the datasets are normalized to a zero mean allowing spectra from different spectral regions to be adjoined. Lithologic maps are generated using an iterative spectral unmixing approach with image spectral endmembers extracted from the SWIR and LWIR imagery based on locations defined from previous work of the study area and field mapping information. Unmixing results of the independent SWIR and LWIR data, and the combined data show clear benefits to using the CWA combined imagery. The analysis showed SWIR and LWIR imagery highlight similar regions and spatial distributions for the three ultramafic units (dunite, peridotite, pyroxenite). However, significant differences are observed for quartz-rich sediments, with the SWIR overestimating the distribution of these rocks whereas the LWIR provided more consistent results compared with existing maps. Both SWIR and LWIR imagery were impacted by the pervasive lichen coatings on the mafic rocks (basalts and gabbros), although the SWIR provided better results than the LWIR. Limitations observed for the independent data sets were removed using the combined spectral data resulting in all geologically meaningful units mapped correctly in comparison with existing geological maps. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79914
Appears in Collections: 气候变化事实与影响
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作者单位: 1-26 Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada; German Remote Sensing Data Center, DLR, Munchnerstr. 20, Germany
Recommended Citation:
Feng J,, Rogge D,, Rivard B. Comparison of lithological mapping results from airborne hyperspectral VNIR-SWIR, LWIR and combined data[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64