DOI: 10.1016/j.jag.2014.05.010
Scopus记录号: 2-s2.0-84904727199
论文题名: Estimating soil sand content using thermal infrared spectrain arid lands
作者: Sawut M ; , Ghulam A ; , Tiyip T ; , Zhang Y ; -J ; , Ding J ; -L ; , Zhang F ; , Maimaitiyiming M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 33, 期: 1 起始页码: 203
结束页码: 210
语种: 英语
英文关键词: Emissivity
; Sand content
; Thermal infrared spectra
Scopus关键词: arid region
; emissivity
; Fourier transform
; least squares method
; regression analysis
; sandy soil
; soil degradation
; soil quality
; soil texture
英文摘要: Sand content is a textural property of soils closely related to soil quality. A fast determination of sandcontent at large scales is paramount importance for monitoring soil degradation to improve agriculturalpractices. The main objective of this study is to evaluate the ability of the thermal infrared region (TIR)to estimate sand content of soils. Thermal infrared spectra obtained in the field from a Fourier TransformSpectrometer are used to develop a partial least square regression model (PLSR) that translates thermalemittance to soil texture properties. Our results show that the 9.435-9.473 μm wavelength regions holda great promise for prediction of sand content. Coefficient of determination R2is 0.87 and standard error(SE) is 2.79. We also show that second derivative of thermal spectral profiles is very useful to detectkaolinite in sand dominated soils. The results of this study provide further insights for developing futurethermal sensors aimed at predicting soil quality as indicated by the sand content and other texturalproperties. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79698
Appears in Collections: 气候变化事实与影响
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作者单位: College of Resources and Environmental Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China; Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046, China; Center for Sustainability, Saint Louis University, Saint Louis, MO 63103, United States
Recommended Citation:
Sawut M,, Ghulam A,, Tiyip T,et al. Estimating soil sand content using thermal infrared spectrain arid lands[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,33(1)