气候变化领域集成服务门户(CCPortal): Information depth of NIR/SWIR soil reflectance spectroscopy

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DOI	10.1016/j.rse.2021.112315
	Information depth of NIR/SWIR soil reflectance spectroscopy
	Norouzi S.; Sadeghi M.; Liaghat A.; Tuller M.; Jones S.B.; Ebrahimian H.
发表日期	2021
ISSN	00344257
卷号	256
英文摘要	Proximal and remote sensing techniques in the optical domain are cost-effective alternatives to standard soil property characterization methods. However, the extent of light penetration into the soil sample, also termed soil information depth, is not well understood. In this study a new analytical model that links the particle size distribution and soil reflectance in the near infrared (NIR) and shortwave infrared (SWIR) bands of the electromagnetic spectrum is introduced. The model enables the partitioning of measured reflectance spectra into surface and volume (subsurface) contributions, thereby yielding insights about the soil information depth. The model simulations indicate that the surface reflectance contribution to the total reflectance is significantly higher than the volume reflectance contribution for a broad range of soils that vastly differ in texture, mineralogical composition and organic matter contents. The ratio of volume to total reflectance is higher for sandy soils than for clayey soils, especially at longer optical wavelengths, but the ratio rarely exceeds 15%. Therefore, the light reflection from dry soils is predominantly a surface phenomenon and the information depth in most soils rarely exceeds 1 mm. The results of this study reveal an intimate physical relationship between soil reflectance and the particle size distribution in the NIR/SWIR range, which opens a potential new avenue for retrieval of the particle size distribution from remotely sensed reflectance via a universal process-based approach. © 2021 Elsevier Inc.
英文关键词	Information depth; Optical remote sensing; Particle size distribution; Soil reflectance spectrum
语种	英语
scopus关键词	Cost effectiveness; Infrared devices; Infrared radiation; Light reflection; Light transmission; Particle size; Particle size analysis; Remote sensing; Size distribution; Textures; Electromagnetic spectra; Mineralogical compositions; Organic matter content; Process-based approach; Reflectance spectrum; Remote sensing techniques; Short wave infrared; Surface reflectance; Soils; clay soil; near infrared; optical property; organic matter; particle size; reflectance; shortwave radiation; size distribution; surface reflectance; wavelength
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178938
作者单位	Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran; Department of Plants, Soils and Climate, Utah State University, Logan, UT, United States; Department of Environmental Science, The University of Arizona, Tucson, AZ, United States
推荐引用方式 GB/T 7714	Norouzi S.,Sadeghi M.,Liaghat A.,et al. Information depth of NIR/SWIR soil reflectance spectroscopy[J],2021,256.
APA	Norouzi S.,Sadeghi M.,Liaghat A.,Tuller M.,Jones S.B.,&Ebrahimian H..(2021).Information depth of NIR/SWIR soil reflectance spectroscopy.Remote Sensing of Environment,256.
MLA	Norouzi S.,et al."Information depth of NIR/SWIR soil reflectance spectroscopy".Remote Sensing of Environment 256(2021).