Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs4113265 |
Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes | |
Eisele, Andreas1; Lau, Ian2; Hewson, Robert3; Carter, Dan4; Wheaton, Buddy4; Ong, Cindy2; Cudahy, Thomas John2; Chabrillat, Sabine1; Kaufmann, Hermann1 | |
通讯作者 | Eisele, Andreas |
来源期刊 | REMOTE SENSING
![]() |
ISSN | 2072-4292 |
出版年 | 2012 |
卷号 | 4期号:11页码:3265-3286 |
英文摘要 | In this study we tested the feasibility of the thermal infrared (TIR) wavelength region (within the atmospheric window between 8 and 11.5 mu m) together with the traditional solar reflective wavelengths for quantifying soil properties for coarse-textured soils from the Australian wheat belt region. These soils have very narrow ranges of texture and organic carbon contents. Soil surface spectral signatures were acquired in the laboratory, using a directional emissivity spectrometer (mu FTIR) in the TIR, as well as a bidirectional reflectance spectrometer (ASD FieldSpec) for the solar reflective wavelengths (0.4-2.5 mu m). Soil properties were predicted using multivariate analysis techniques (partial least square regression). The spectra were resampled to operational imaging spectroscopy sensor characteristics (HyMAP and TASI-600). To assess the relevance of specific wavelength regions in the prediction, the drivers of the PLS models were interpreted with respect to the spectral characteristics of the soils’ chemical and physical composition. The study revealed the potential of the TIR (for clay: R-2 = 0.93, RMSEP = 0.66% and for sand: R-2 = 0.93, RMSEP = 0.82%) and its combination with the solar reflective region (for organic carbon: R-2 = 0.95, RMSEP = 0.04%) for retrieving soil properties in typical soils of semi-arid regions. The models’ drivers confirmed the opto-physical base of most of the soils’ constituents (clay minerals, silicates, iron oxides), and emphasizes the TIR’s advantage for soils with compositions dominated by quartz and kaolinite. |
英文关键词 | thermal infrared TIR emission IR spectroscopy soils texture organic carbon |
类型 | Article |
语种 | 英语 |
国家 | Germany ; Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000313914500001 |
WOS关键词 | ORGANIC-MATTER ; REFLECTANCE ; EMISSIVITY ; SPECTROSCOPY ; SURFACES ; BANDS |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
来源机构 | Commonwealth Scientific and Industrial Research Organisation |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/174787 |
作者单位 | 1.GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany; 2.CSIRO, ARRC, Explorat & Min, Kensington, WA 6151, Australia; 3.RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic 3001, Australia; 4.DAFWA, S Perth, WA 6151, Australia |
推荐引用方式 GB/T 7714 | Eisele, Andreas,Lau, Ian,Hewson, Robert,et al. Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes[J]. Commonwealth Scientific and Industrial Research Organisation,2012,4(11):3265-3286. |
APA | Eisele, Andreas.,Lau, Ian.,Hewson, Robert.,Carter, Dan.,Wheaton, Buddy.,...&Kaufmann, Hermann.(2012).Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes.REMOTE SENSING,4(11),3265-3286. |
MLA | Eisele, Andreas,et al."Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes".REMOTE SENSING 4.11(2012):3265-3286. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。