Prediction of Soil Moisture Content and Soil Salt Concentration from Hyperspectral Laboratory and Field Data

This research examines the simultaneous retrieval of surface soil moisture and salt concentrations using hyperspectral reflectance data in an arid environment. We conducted laboratory and outdoor field experiments in which we examined three key soil variables: soil moisture, salt and texture (silty loam, clay and silty clay). The soil moisture content models for multiple textures (M_SMC models) were based on selected hyperspectral reflectance data located around 1460, 1900 and 2010 nm and resulted in R2 values higher than 0.933. Meanwhile, the soil salt concentrations were also accurately (R2 > 0.748) modeled (M_SSC models) based on wavebands located at 540, 1740, 2010 and 2350 nm. When the different texture samples were mixed (SL + C + SC models), soil moisture was still accurately retrieved (R2 = 0.937) but the soil salt not as well (R2 = 0.47). After stratifying the samples by retrieved soil moisture levels, the R2 of calibrated M_SSCSMC models for soil salt concentrations improved to 0.951. This two-step method also showed applicability for analyzing soil-salt samples in the field. The M_SSCSMC models resulted in R2 values equal to 0.912 when moisture is lower than 0.15, and R2 values equal to 0.481 when soil moisture is between 0.15 and 0.2.

[1]  T. Schmugge,et al.  Remote sensing of soil moisture with microwave radiometers , 1974 .

[2]  J. D. Dickerson,et al.  Evaluating Surface-Soil Water Content by Measuring Reflectance 1 , 1975 .

[3]  K. Paliwal,et al.  EFFECT OF SALINITY, SAR, Ca: Mg RATIO IN IRRIGATION WATER, AND SOIL TEXTURE ON THE PREDICTABILITY OF EXCHANGEABLE SODIUM PERCENTAGE , 1976 .

[4]  E. Worthington.  Arid Land Irrigation in Developing Countries: Environmental Problems and Effects , 2013 .

[5]  G. Hunt.  SPECTRAL SIGNATURES OF PARTICULATE MINERALS IN THE VISIBLE AND NEAR INFRARED , 1977 .

[6]  T. Hirschfeld,et al.  Salinity Determination Using NIRA , 1985 .

[7]  A. Klute.  Methods of soil analysis. Part 1. Physical and mineralogical methods. , 1988 .

[8]  R. Henry,et al.  Simultaneous Determination of Moisture, Organic Carbon, and Total Nitrogen by Near Infrared Reflectance Spectrophotometry , 1986 .

[9]  W. P. Miller,et al.  A micro‐pipette method for soil mechanical analysis , 1987 .

[10]  P. Hick,et al.  Some spectral considerations for remote sensing of soil salinity , 1990 .

[11]  H. Keselman,et al.  Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables , 1992 .

[12]  G. F. Epema,et al.  Remote sensing of salt affected soils , 1993 .

[13]  László Pásztor,et al.  Spectral band selection for the characterization of salinity status of soils , 1993 .

[14]  E. Cloutis,et al.  Review Article Hyperspectral geological remote sensing: evaluation of analytical techniques , 1996 .

[15]  E. Ben-Dor.  The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400-2500 nm) during a controlled decomposition process , 1997 .

[16]  R. Clark,et al.  Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression , 1999 .

[17]  A. N. Rencz,et al.  Remote sensing for the earth sciences: manual of remote sensing Volume 3. , 1999 .

[18]  E. Ben-Dor.  Quantitative remote sensing of soil properties , 2002 .

[19]  A. Karnieli,et al.  Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel , 2002 .

[20]  F. Baret,et al.  Relating soil surface moisture to reflectance , 2002 .

[21]  Graciela Metternicht,et al.  Remote sensing of soil salinity: potentials and constraints , 2003 .

[22]  F. Meer.  Analysis of spectral absorption features in hyperspectral imagery , 2004 .

[23]  S. Ustin,et al.  Predicting water content using Gaussian model on soil spectra , 2004 .

[24]  P. Groves,et al.  Methodology For Hyperspectral Band Selection , 2004 .

[25]  R. Schwarzenbach,et al.  Light penetration in soil and particulate minerals , 2005 .

[26]  Mark S. Seyfried,et al.  Dielectric Loss and Calibration of the Hydra Probe Soil Water Sensor , 2005 .

[27]  J. Farifteh,et al.  Assessing salt-affected soils using remote sensing, solute modelling, and geophysics , 2006 .

[28]  Pablo Zarco-Tejada,et al.  Hyperspectral mapping of crop and soils for precision agriculture , 2006, SPIE Optics + Photonics.

[29]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[30]  P. Gong,et al.  Reflectance spectroscopy for the assessment of soil salt content in soils of the Yellow River Delta of China , 2008 .

[31]  Patrick Hostert,et al.  Surface soil moisture quantification and validation based on hyperspectral data and field measurements , 2008 .

[32]  Graciela Metternicht,et al.  Remote Sensing of Soil Salinization : Impact on Land Management , 2008 .

[33]  J. Hill,et al.  Using Imaging Spectroscopy to study soil properties , 2009 .

[34]  Martha C. Anderson,et al.  Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and Validation , 2009 .

[35]  Valentyn Tolpekin,et al.  Salinity modelling by inverted Gaussian parameters of soil reflectance spectra , 2010 .

[36]  Yao Yan-min,et al.  Soil moisture monitoring using hyper-spectral remote sensing technology , 2010, 2010 Second IITA International Conference on Geoscience and Remote Sensing.

[37]  Peng Gong,et al.  A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data , 2010 .

[38]  V. L. Mulder,et al.  The use of remote sensing in soil and terrain mapping — A review , 2011 .

[39]  Pingheng Li,et al.  Modeling salinity effects on soil reflectance under various moisture conditions and its inverse application: A laboratory experiment , 2012 .

[40]  B. Li,et al.  Spectral data mining for rapid measurement of organic matter in unsieved moist compost. , 2013, Applied optics.

[41]  Paolo Villa,et al.  Carbon Stocks in Peri-Urban Areas: A Case Study of Remote Sensing Capabilities , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[42]  Joachim Hill,et al.  Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS) , 2014, Remote. Sens..

[43]  Harald van der Werff,et al.  Potential of ESA's Sentinel-2 for geological applications , 2014 .

[44]  P. Corona,et al.  Mapping by spatial predictors exploiting remotely sensed and ground data: A comparative design-based perspective , 2014 .

[45]  Yiyun Chen,et al.  Estimating Soil Organic Carbon Using VIS/NIR Spectroscopy with SVMR and SPA Methods , 2014, Remote. Sens..

[46]  Rogier van der Velde,et al.  Use of Radarsat-2 and Landsat TM Images for Spatial Parameterization of Manning's Roughness Coefficient in Hydraulic Modeling , 2015, Remote. Sens..

[47]  Yuanbo Liu,et al.  Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square Regression , 2015, Remote. Sens..

[48]  K. Moffett,et al.  Remote Sens , 2015 .

[49]  R. V. Rossel,et al.  Proximal soil sensing of soil texture and organic matter with a prototype portable mid‐infrared spectrometer , 2015 .

[50]  Rémy Fieuzal,et al.  Improvement of Soil Moisture Retrieval from Hyperspectral VNIR-SWIR Data Using Clay Content Information: From Laboratory to Field Experiments , 2015, Remote. Sens..

[51]  W. Philpot,et al.  Relationship between surface soil water content, evaporation rate, and water absorption band depths in SWIR reflectance spectra , 2015 .

[52]  Zhou Shi,et al.  Improved estimates of organic carbon using proximally sensed vis–NIR spectra corrected by piecewise direct standardization , 2015 .

[53]  J. Rhoades.  Salinity: Electrical Conductivity and Total Dissolved Solids , 2018, SSSA Book Series.