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Assessment of Soil Characteristics Using a Three-Band Agricultural Digital Camera Cover

Assessment of Soil Characteristics Using a Three-Band Agricultural Digital Camera

Open Access
|Aug 2022

Figures & Tables

Fig. 1

Map of the study area.
Map of the study area.

Fig. 2

Correlation between soil parameters and spectral indices.
Correlation between soil parameters and spectral indices.

Fig. 3

Summary of graphs for soil parameters that achieved the desired values of R2 and rel-RMSE.
Summary of graphs for soil parameters that achieved the desired values of R2 and rel-RMSE.

Fig. 4

Summary of graphs showing the most important variables used to estimate soil properties.
Summary of graphs showing the most important variables used to estimate soil properties.

Measures of goodness-of-fit for soil characteristic estimations_

ParameterUnitMEANSDModelpre-processingR2RMSERel RMSERPDRPIQ
Sand%78.104.12CubistMSC0.7933 2110.041.281.22
Silt%16.873.63CubistMSC0.8861 7040.102.131.35
Clay%4.971.69PLSABS0.0431 6340.331.031.22
SOC%1.561.32CubistSNV0.9860.2840.184.641.74
N%0.140.15CubistRAW0.9800.0310.214.921.12
C/N14.349.01PLSSNV0.0189 1000.6310.54
pHH2O5.671.13CubistABS0.9370.4030.072.825.06
pHKCL5.181.24CubistABS0.9340.4380.082.825.28
CaCO3 vol%0.872.03Cubistmin-max Norm0.7800.6730.773.010.48
CaCO3 titr%1.152.44Cubistmin-max Norm0.8710.6940.613.520.84
CECcmol kg−19.985.16CubistABS0.9281 2780.242.232.36
Kmg kg−1147.8841.51CubistRAW0.56327 7700.191.490.97
Mgmg kg−170.5961.70CubistSNV0.95123 4630.332.631.78
Camg kg−11504.292014.76Cubistmin-max Norm0.924735 5150.492.743.86
Znmg kg−19.063.07PLSSNV0.0683 5480.391.041.15
Cumg kg−11.750.56CubistABS0.8530.2840.161.972.85
Pbmg kg−15.361.09CubistABS0.8481 6380.311.161.77
Cdmg kg−10.120.12Cubistmin-max Norm0.8360.0520.422.263.13
Mnmg kg−173.2217.93Cubistmin-max Norm0.8678 4190.112.131.68
Fmg kg−1233.9760.25CubistRAW0.83238 0730.161.581.91
Pmg kg−1176.8863.21CubistABS0.46367 6800.380.932.12

Summary of soil laboratory analyses_

ParameterUnitMinMeanMedianMaxSD
Sand%61.0078.1079.0085.004.12
Silt%12.0016.8716.0033.003.63
Clay%1.004.975.008.001.69
SOC%0.571.561.005.791.32
N%0.010.140.080.820.15
C/N6.4014.3411.8063.009.10
pHH2O4.005.675.157.671.13
pHKCL3.485.184.657.251.24
CaCO3 vol%0.000.870.0012.002.03
CaCO3 titr%0.001.150.0013.102.44
CECcmol kg−15.469.987.9927.285.16
Kmg kg−129.30147.88147.60409.5041.51
Mgmg kg−116.3070.5947.70314.8061.70
Camg kg−132.601504.29322.707424.602014.76
Znmg kg−14.409.068.5027.403.70
Cumg kg−11.001.751.603.500.56
Pbmg kg−10.505.365.0013.901.90
Cdmg kg−10.000.120.090.550.12
Mnmg kg−119.4073.2276.60101.3017.93
Fmg kg−183.10233.97248.60385.1060.25
Pmg kg−123.30176.88153.60275.6063.21

Summary of soil spectra_

RAWMSCSNVmax-min NORMABS
MEANSDMEANSDMEANSDMEANSDMEANSD
GREEN0.470.120.500.11−0.340.320.440.190.350.13
RED0.410.150.380.09−0.740.170.520.230.430.21
NIR0.810.290.810.021.080.170.330.150.130.20

Summary of spectral indices used in the study_

Spectral indexAbbreviationFormula
Normalized Difference Vegetation IndexNDVI NIRREDNIR+RED {{NIR - RED} \over {NIR + RED}}
Green Normalized Fifference Vegetation IndexGNDVI NIRGREENNIR+GREEN {{NIR - GREEN} \over {NIR + GREEN}}
Green Normalized Fifference Vegetation Index normalGNDVInormal NIRGREENNIR+GREEN2+1 {{NIR - GREEN} \over {{{NIR + GREEN} \over 2}}} + 1
Infrared Percentage Vegetation IndexIPVI NIRNIR+RED {{NIR} \over {NIR + RED}}
Soil-adjusted Vegetation IndexSAVI* NIRREDNIR+RED+L×(1+L) {{NIR - RED} \over {NIR + RED + L}} \times (1 + L)
Radar Vegetation IndexRVI NIRRED {{NIR} \over {RED}}
Green-Red Vegetation IndexGRVI NIRGREEN {{NIR} \over {GREEN}}
DOI: https://doi.org/10.2478/quageo-2022-0029 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 127 - 140
Submitted on: Jun 8, 2022
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Published on: Aug 11, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2022 Agnieszka Glinko, Cezary Kaźmierowski, Jan Piekarczyk, Sławomir Królewicz, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.