Journal ArticleDOI
A Comparative Study of Multiple Approaches for Predicting the Soil–Water Retention Curve: Hyperspectral Information vs. Basic Soil Properties
Ebrahim Babaeian,Mehdi Homaee,Harry Vereecken,Carsten Montzka,Ali Akbar Norouzi,Martinus Th. van Genuchten +5 more
TLDR
In this article, the authors developed point and parametric transfer functions based on the van Genuchten (VG) and Brooks-Corey (BC) soil hydraulic models to predict soil hydraulic properties using soil spectral data.Abstract:
Information about the soil–water retention curve is necessary for modeling water flow and solute transport processes in soils. Soil spectroscopy in the visible, near-infrared, and shortwave infrared (Vis-NIR-SWIR) range has been widely used as a rapid, cost-effective and nondestructive technique to predict soil properties. However, less attention has been paid to predict soil hydraulic properties using soil spectral data. In this paper, spectral reflectances of soil samples from the Zanjanrood watershed, Iran, were measured in the Vis-NIR-SWIR ranges (350–2500 nm). Stepwise multiple linear regression coupled with the bootstrap method was used to construct predictive models and to estimate the soil–water retention curve. We developed point and parametric transfer functions based on the van Genuchten (VG) and Brooks-Corey (BC) soil hydraulic models. Three different types of transfer functions were developed: (i) spectral transfer functions (STFs) that relate VG/BC hydraulic parameters to spectral reflectance values, (ii) pedotransfer function (PTFs) that use basic soil data as input, and (iii) PTFs that consider spectral data and basic soil properties, further referred to as spectral pedotransfer functions (SPTFs). We also derived and evaluated point transfer functions which estimate soil–water contents at specific matric potentials. The point STFs and SPTFs were found to be accurate at low and intermediate water contents (R² > 0.50 and root mean squared error [RMSE] < 0.018 cm³ cm⁻³), while the point PTFs performed better close to saturation. The parametric STFs and SPTFs of both the VG and BC models performed similarly to parametric PTFs in estimating the retention curve. The best predictions of soil–water contents were obtained for all the three transfer functions when the VG and BC retention models were fitted to the retention points estimated by the point transfer functions. Overall, our findings indicate that spectral data can provide useful information to predict soil—water contents and the soil–water retention curve. However, there is a need to extend and validate the derived transfer functions to other soils and regions.read more
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Journal ArticleDOI
Pedotransfer functions in Earth system science: challenges and perspectives
Kris Van Looy,Johan Bouma,Michael Herbst,John Koestel,Budiman Minasny,Umakant Mishra,Carsten Montzka,Attila Nemes,Yakov Pachepsky,José Padarian,Marcel G. Schaap,Brigitta Tóth,Brigitta Tóth,Anne Verhoef,Jan Vanderborght,Martine van der Ploeg,Lutz Weihermüller,Steffen Zacharias,Yonggen Zhang,Yonggen Zhang,Harry Vereecken +20 more
TL;DR: In this article, a review of the existing PTFs and new generation of PTF developed in the different disciplines of Earth system science is presented, emphasizing that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTF models correctly represent the spatial heterogeneity of soils.
Journal ArticleDOI
Ground, Proximal, and Satellite Remote Sensing of Soil Moisture
Ebrahim Babaeian,Morteza Sadeghi,Scott B. Jones,Carsten Montzka,Harry Vereecken,Markus Tuller +5 more
TL;DR: Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society.
Journal ArticleDOI
An integrative information aqueduct to close the gaps between satellite observation of water cycle and local sustainable management of water resources
Zhongbo Su,Yijian Zeng,Nunzio Romano,Salvatore Manfreda,Félix Francés,Eyal Ben Dor,Brigitta Szabó,Giulia Vico,Paolo Nasta,Ruodan Zhuang,Nicolas Francos,János Mészáros,Silvano Fortunato Dal Sasso,Maoya Bassiouni,Lijie Zhang,D.T. Rwasoka,Bas Retsios,Lianyu Yu,Megan Leigh Blatchford,Chris M. Mannaerts +19 more
TL;DR: In this paper, an integrative information flow (iAqueduct theoretical framework) is developed to close the gaps between satellite water cycle products and local information necessary for sustainable management of water resources.
Journal ArticleDOI
Particle size effects on soil reflectance explained by an analytical radiative transfer model
TL;DR: In this article, the authors derived a more fundamental and physically-based analytical radiative transfer model that yields a closed-form functional R(D) relationship for dry soils and showed good agreement with measured spectral reflectance (350-2500nm) data of six soils covering a broad range of textures, colors, and mineralogies.
Journal ArticleDOI
Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy
Cecilie Hermansen,Maria Knadel,Per Moldrup,Mogens Humlekrog Greve,Dan Karup,Lis Wollesen de Jonge +5 more
TL;DR: In this article, the authors used vis-NIRS to indirectly obtain PSCs by predicting the fitting parameters of the Rosin-Rammler (αR, βR) and Fredlund (αF, nF, and mF) functions.
References
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