Arid
DOI10.1016/j.aeolia.2015.10.001
On the prediction of threshold friction velocity of wind erosion using soil reflectance spectroscopy
Li, Junran1; Flagg, Cody2; Okin, Gregory S.3; Painter, Thomas H.4,5; Dintwe, Kebonye3; Belnap, Jayne6
通讯作者Li, Junran
来源期刊AEOLIAN RESEARCH
ISSN1875-9637
EISSN2212-1684
出版年2015
卷号19页码:129-136
英文摘要

Current approaches to estimate threshold friction velocity (TFV) of soil particle movement, including both experimental and empirical methods, suffer from various disadvantages, and they are particularly not effective to estimate TFVs at regional to global scales. Reflectance spectroscopy has been widely used to obtain TFV-related soil properties (e.g., moisture, texture, crust, etc.), however, no studies have attempted to directly relate soil TFV to their spectral reflectance. The objective of this study was to investigate the relationship between soil TFV and soil reflectance in the visible and near infrared (VIS-NIR, 350-2500 nm) spectral region, and to identify the best range of wavelengths or combinations of wavelengths to predict TFV. Threshold friction velocity of 31 soils, along with their reflectance spectra and texture were measured in the Mojave Desert, California and Moab, Utah. A correlation analysis between TFV and soil reflectance identified a number of isolated, narrow spectral domains that largely fell into two spectral regions, the VIS area (400-700 nm) and the short-wavelength infrared (SWIR) area (1100-2500 nm). A partial least squares regression analysis (PLSR) confirmed the significant bands that were identified by correlation analysis. The PLSR further identified the strong relationship between the first-difference transformation and TFV at several narrow regions around 1400,1900, and 2200 nm. The use of PLSR allowed us to identify a total of 17 key wavelengths in the investigated spectrum range, which may be used as the optimal spectral settings for estimating TFV in the laboratory and field, or mapping of TFV using airborne/satellite sensors. (C) 2015 Elsevier B.V. All rights reserved.


英文关键词Dust Wind erosion Remote sensing Partial least squares regression
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000367022900011
WOS关键词ATMOSPHERIC DUST CYCLE ; GRAIN-SIZE ; SPECTRAL CHARACTERISTICS ; SEMIARID ENVIRONMENTS ; MODEL ; CRUST ; DISTURBANCE ; VEGETATION ; EMISSION ; DESERT
WOS类目Geography, Physical
WOS研究方向Physical Geography
来源机构United States Geological Survey ; University of California, Los Angeles
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/185504
作者单位1.Univ Tulsa, Dept Geosci, Tulsa, OK 74104 USA;
2.Natl Ecol Observ Network, Boulder, CO 80301 USA;
3.Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA;
4.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA;
5.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA;
6.US Geol Survey, Southwest Biol Sci Ctr, Moab, UT 84532 USA
推荐引用方式
GB/T 7714
Li, Junran,Flagg, Cody,Okin, Gregory S.,et al. On the prediction of threshold friction velocity of wind erosion using soil reflectance spectroscopy[J]. United States Geological Survey, University of California, Los Angeles,2015,19:129-136.
APA Li, Junran,Flagg, Cody,Okin, Gregory S.,Painter, Thomas H.,Dintwe, Kebonye,&Belnap, Jayne.(2015).On the prediction of threshold friction velocity of wind erosion using soil reflectance spectroscopy.AEOLIAN RESEARCH,19,129-136.
MLA Li, Junran,et al."On the prediction of threshold friction velocity of wind erosion using soil reflectance spectroscopy".AEOLIAN RESEARCH 19(2015):129-136.
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