Sensitivity of Near-Infrared Permanent Laser Scanning Intensity for Retrieving Soil Moisture on a Coastal Beach: Calibration Procedure Using In Situ Data

Anthropogenic activities and climate change in coastal areas require continuous monitoring for a better understanding of environmental evolution and for the implementation of protection strategies. Surface moisture is one of the important drivers of coastal variability because it highly affects shoreward sand transport via aeolian processes. Several methods have been explored for measuring surface moisture at different spatiotemporal resolutions, and in recent years, light detection and ranging (LiDAR) technology has been investigated as a remote sensing tool for high-spatiotemporal-resolution moisture detection. The aim of the present study is the assessment of the performance of a permanent terrestrial laser scanner (TLS) with an original setting located on a high position and hourly scanning of a wide beach area stretching from a swash zone to the base of a dune in order to evaluate the soil moisture at a high spatiotemporal resolution. The reflectance of a Riegl-VZ2000 located in Noordwijk on the Dutch coast was used to assess a new calibration curve that allows the estimation of soil moisture. Three days of surveys were conducted to collect ground-truth soil moisture measurements with a time-domain reflectometry (TDR) sensor at 4 cm depth. Each in situ measurement was matched with the closest reflectance measurement provided by the TLS; the data were interpolated using a non-linear least squares method. A calibration curve that allowed the estimation of the soil moisture in the range of 0–30% was assessed; it presented a root-mean-square error (RMSE) of 4.3% and a coefficient of determination (R-square) of 0.86. As an innovative aspect, the calibration curve was tested under different circumstances, including weather conditions and tidal levels. Moreover, the TDR data collected during an independent survey were used to validate the assessed curve. The results show that the permanent TLS is a highly suitable technique for accurately evaluating the surface moisture variations on a wide sandy beach area with a high spatiotemporal resolution.

[1]  R. Lindenbergh,et al.  Coastscan: Continuous monitoring of coastal change using terrestrial laser scanning , 2017 .

[2]  Steven L. Namikas,et al.  Utility of the Delta-T Theta Probe for Obtaining Surface Moisture Measurements from Beaches , 2011 .

[3]  Wim Cornelis,et al.  The effect of surface moisture on the entrainment of dune sand by wind: an evaluation of selected models , 2003 .

[4]  Bernard O. Bauer,et al.  A general framework for modeling sediment supply to coastal dunes including wind angle, beach geometry, and fetch effects , 2003 .

[5]  Stuart Barr,et al.  Characterising soil moisture in transport corridor environments using airborne LIDAR and CASI data , 2012 .

[6]  Juha Hyyppä,et al.  Brightness Measurements and Calibration With Airborne and Terrestrial Laser Scanners , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Antero Kukko,et al.  Effect of incidence angle on laser scanner intensity and surface data. , 2008, Applied optics.

[8]  T. Jackson,et al.  Field observations of soil moisture variability across scales , 2008 .

[9]  Todd R. Lookingbill,et al.  An empirical approach towards improved spatial estimates of soil moisture for vegetation analysis , 2004, Landscape Ecology.

[10]  A. Poortinga,et al.  Measuring and Modeling the Effect of Surface Moisture on the Spectral Reflectance of Coastal Beach Sand , 2014, PloS one.

[11]  E. Anthony,et al.  Aeolian sand transport over complex intertidal bar-trough beach topography , 2009 .

[12]  Andrew Baird,et al.  Inter-tidal Dynamics of Surface Moisture Content on a Meso-tidal Beach , 2001 .

[13]  Pawel Terefenko,et al.  Multi-Temporal Cliff Erosion Analysis Using Airborne Laser Scanning Surveys , 2019, Remote. Sens..

[14]  Gerben Ruessink,et al.  Measuring spatial and temporal variation in surface moisture on a coastal beach with a near-infrared terrestrial laser scanner , 2017 .

[15]  P. Hallett,et al.  Factors controlling the spatial patterns of soil moisture in a grazed semi‐arid steppe investigated by multivariate geostatistics , 2011 .

[16]  Pedro Arias,et al.  Monitoring biological crusts in civil engineering structures using intensity data from terrestrial laser scanners , 2012 .

[17]  K. Nordstrom,et al.  Effects of time-dependent moisture content of surface sediments on aeolian transport rates across a , 1997 .

[18]  J. Brasington,et al.  Hyperscale terrain modelling of braided rivers: fusing mobile terrestrial laser scanning and optical bathymetric mapping , 2014 .

[19]  Cheryl McKenna Neuman,et al.  Measurement of water content as a control of particle entrainment by wind , 2006 .

[20]  C. Bohren,et al.  Reflectance and albedo differences between wet and dry surfaces. , 1986, Applied optics.

[21]  H. Burningham,et al.  Coastal geomorphology: trends and challenges , 2009 .

[22]  Alka Dwevedi,et al.  Soil sensors: detailed insight into research updates, significance, and future prospects , 2017 .

[23]  Pengjie Tao,et al.  Estimation of soil surface water contents for intertidal mudflats using a near-infrared long-range terrestrial laser scanner , 2020 .

[24]  D. Lobell,et al.  Moisture effects on soil reflectance , 2002 .

[25]  M. Luoto,et al.  Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data , 2018 .

[26]  D. Sherman,et al.  A Review of the Effects of Surface Moisture Content on Aeolian Sand Transport , 1995 .

[27]  Marcus Guderle,et al.  Moving from plot-based to hillslope-scale assessments of savanna vegetation structure with long-range terrestrial laser scanning (LR-TLS) , 2020, Int. J. Appl. Earth Obs. Geoinformation.

[28]  G. Ruessink,et al.  Tide‐induced variability in beach surface moisture: Observations and modelling , 2018, Earth Surface Processes and Landforms.

[29]  William G. Nickling,et al.  A THEORETICAL AND WIND TUNNEL INVESTIGATION OF THE EFFECT OF CAPILLARY WATER ON THE ENTRAINMENT OF SEDIMENT BY WIND , 1989 .

[30]  M. Hájek,et al.  Do we need soil moisture measurements in the vegetation–environment studies in wetlands? , 2013 .

[31]  Manuel Sánchez-Fernández,et al.  Application of Multiple Geomatic Techniques for Coastline Retreat Analysis: The Case of Gerra Beach (Cantabrian Coast, Spain) , 2020, Remote. Sens..

[32]  Harri Kaartinen,et al.  Effect of Target Moisture on Laser Scanner Intensity , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[33]  D. Eisma Composition, origin and distribution of Dutch coastal sands between Hoek van Holland and the island of Vlieland , 1968 .

[34]  S. Vries,et al.  Field measurements on spatial variations in aeolian sediment availability at the Sand Motor mega nourishment , 2017 .

[35]  S. Vries,et al.  A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability , 2016 .

[36]  G. Wiggs,et al.  Aeolian sand strip mobility and protodune development on a drying beach: examining surface moisture and surface roughness patterns measured by terrestrial laser scanning , 2011 .

[37]  S. L. Namikas,et al.  Measurement and modeling of moisture content above an oscillating water table: implications for beach surface moisture dynamics , 2013 .

[38]  Daniel Hillel,et al.  Soil and Water: Physical Principles and Processes , 2012 .

[39]  A. Kaleita,et al.  FIELD CALIBRATION OF THE THETA PROBE FOR DES MOINES LOBE SOILS , 2005 .

[40]  Liangxu Wang,et al.  A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system , 2017 .

[41]  R. Melchers,et al.  Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure. , 2020, The Science of the total environment.

[42]  Philippe De Maeyer,et al.  Measuring Surface Moisture on a Sandy Beach based on Corrected Intensity Data of a Mobile Terrestrial LiDAR , 2020, Remote. Sens..

[43]  R. Davidson‐Arnott,et al.  Rapid Measurement of Surface Moisture Content on a Beach , 2005 .

[44]  R. Sarre Evaluation of aeolian sand transport equations using intertidal zone measurements, Saunton Sands, England , 1988 .

[45]  I. Delgado‐Fernandez,et al.  Sediment input to foredunes: description and frequency of transport events at Greenwich Dunes, PEI, Canada , 2009 .

[46]  Ying Yu,et al.  Estimating soil moisture content using laboratory spectral data , 2018, Journal of Forestry Research.

[47]  D. Sherman Evaluation of aeolian sand transport equations using intertidal‐zone measurements, Saunton Sands, England , 1990 .

[48]  Douglas J. Sherman,et al.  Dynamics of beach-dune systems , 1993 .

[49]  C. Neuman,et al.  A wind tunnel study of the influence of pore water on aeolian sediment transport , 1998 .

[50]  W. Wagner,et al.  Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner , 2006 .

[51]  Irene Delgado-Fernandez,et al.  Meso-scale modelling of aeolian sediment input to coastal dunes , 2011 .

[52]  B. Edwards,et al.  Small‐scale variability in surface moisture on a fine‐grained beach: implications for modeling aeolian transport , 2009 .

[53]  George Vosselman,et al.  Airborne and terrestrial laser scanning , 2011, Int. J. Digit. Earth.

[54]  B. Bauer,et al.  Mean flow and turbulence responses in airflow over foredunes: New insights from recent research , 2009 .

[55]  B. Edwards,et al.  Temporal and spatial variabilities in the surface moisture content of a fine-grained beach , 2010 .

[56]  S. Jones,et al.  A TDR Array Probe for Monitoring Near‐Surface Soil Moisture Distribution , 2017 .

[57]  Qihao Weng,et al.  Estimation of hourly and daily evapotranspiration and soil moisture using downscaled LST over various urban surfaces , 2017 .

[58]  Joanna M. Nield,et al.  Detecting surface moisture in aeolian environments using terrestrial laser scanning , 2014 .

[59]  J. Keijsers,et al.  Modeling the biogeomorphic evolution of coastal dunes in response to climate change , 2016 .

[60]  Stefano Girardi,et al.  Discrimination between marls and limestones using intensity data from terrestrial laser scanner , 2009 .

[61]  Aloysius Wehr,et al.  Airborne laser scanning—an introduction and overview , 1999 .

[62]  Janina Decker,et al.  Introduction To Coastal Processes And Geomorphology , 2016 .

[63]  A. Ångström The Albedo of Various Surfaces of Ground , 1925 .

[64]  R. Davidson‐Arnott,et al.  Measurement of Beach Surface Moisture Using Surface Brightness , 2009 .

[65]  Ian J. Walker,et al.  The effects of surface moisture on aeolian sediment transport threshold and mass flux on a beach , 2008 .

[66]  Giordano Teza,et al.  Effects of surface irregularities on intensity data from laser scanning: an experimental approach , 2008 .

[67]  Kevin Leempoel,et al.  Very high‐resolution digital elevation models: are multi‐scale derived variables ecologically relevant? , 2015 .

[68]  B. Edwards,et al.  Comparison of Surface Moisture Measurements with Depth-Integrated Moisture Measurements on a Fine-Grained Beach , 2013 .

[69]  George M. Kaminsky,et al.  New Insights on Coastal Foredune Growth: The Relative Contributions of Marine and Aeolian Processes , 2018 .

[70]  D. Wal Effects of fetch and surface texture on aeolian sand transport on two nourished beaches , 1998 .

[71]  Andrew Baird,et al.  The dynamic effects of moisture on the entrainment and transport of sand by wind , 2004 .

[72]  Anttoni Jaakkola,et al.  Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods , 2011, Remote. Sens..

[73]  Gerben Ruessink,et al.  Measurement of surface moisture using infra-red terrestrial laser scanning , 2014 .

[74]  Hangsheng Lin,et al.  Combined soil-terrain stratification for characterizing catchment-scale soil moisture variation , 2017 .

[75]  R. Melchers,et al.  LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines , 2020, International Journal on Smart Sensing and Intelligent Systems.