DOI: 10.1016/j.jag.2014.11.003
Scopus记录号: 2-s2.0-84956697206
论文题名: Spectral characterization of coastal sediments using Field Spectral Libraries, Airborne Hyperspectral Images and Topographic LiDAR Data (FHyL)
作者: Manzo C ; , Valentini E ; , Taramelli A ; , Filipponi F ; , Disperati L
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 36 起始页码: 54
结束页码: 68
语种: 英语
英文关键词: FHyL
; Field radiometry
; Hyperspectral
; Linear spectral mixing analysis
; Moisture
; Sediments
Scopus关键词: coastal sediment
; lidar
; moisture
; nearshore environment
; remote sensing
; sediment property
; spectral analysis
; spectral reflectance
英文摘要: Beach dune systems are important for coastal zone ecosystems as they provide natural sea defences that dissipate wave energy. Geomorphological models of this near-shore topography require site-specific sediment composition, grain size and moisture content as inputs. Hyperspectral, field radiometry and LiDAR remote sensing can be used as tools by providing synoptic maps of these properties. However, multi-remote sensing of near-shore beach images can only be interpreted if there are adequate bio-geophysical or empirical models for information extraction. Our aim was thus to model the effects of varying sediment properties on the reflectance in both field and laboratory conditions within the FHyL (Field Spectral Libraries, Airborne Hyperspectral Images and Topographic LiDAR) procedure, using a multisource dataset (airborne Hyperspectral - MIVIS and topographic LiDAR - Hawk-eye II and field radiometry). The methodology consisted of (i) acquisition of simultaneous multi-source datasets (airborne Hyperspectral - MIVIS and topographic LiDAR - Hawk-eye) (ii) hyperspectral measurements of sediment mixtures with varying physical characteristics (moisture, grain size and minerals) in field and laboratory conditions, (iii) determination and quantification of specific absorption features, and (iv) correlation between the absorption features and physical parameters cited above.Results showed the potential of hyperspectral signals to assess the effect of moisture, grain-size and mineral composition on sediment properties. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79467
Appears in Collections: 气候变化事实与影响
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作者单位: ISPRA Institute for Environmental Protection and Research, Via Vitaliano Brancati 48, Roma, Italy; Università di Siena, Dipartimento di Scienze Fisiche, della Terra e dell'Ambiente, Strada Laterina, 8, Siena, Italy; Università di Siena, Centro di GeoTecnologie, Via Vetri Vecchi, 34, San Giovanni , Arezzo, Italy
Recommended Citation:
Manzo C,, Valentini E,, Taramelli A,et al. Spectral characterization of coastal sediments using Field Spectral Libraries, Airborne Hyperspectral Images and Topographic LiDAR Data (FHyL)[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,36