Detection of soil contamination by sulphur using field andairborne hyperspectral data
B. Hejmanowska, E.Głowienka, AGH University of Science and Technology, Kraków, PolandC.Fischer, TU Technical University, Clausthal, GermanyB. Hejmanowska, B. Hejmanowska, E.GE.Głłowienkaowienka,, AGH AGH UniversityUniversity ofof ScienceScience andand TechnologyTechnology, Krak, Krakóów, w, PolandPolandC.FischerC.Fischer, TU , TU TechnicalTechnical UniversityUniversity, , ClausthalClausthal, Germany, Germany
4th Workshop on Imaging Spectroscopy, Warsaw 2005
Test site sulphur mine
Machów
Jeziórko
Piaseczno
Calibration
DAIS: Digital Airborne ImagingSpectrometer
79 kanałów79 kanałów
2,6 m2,6 m
Hyperspectral data - imaging spectrometers
DAIS 7915 (4 spektrometry):
VIS/NIR 32 kanały (0.5- 1.05 µm )
SWIR 8 kanałów (1.5- 1.8 µm )
SWIR II 32 kanały (1.9-2.5 µm )
MIR 1 kanał (3.0- 5.0 µm )
TIR 4 kanały (8.7- 12.5 µm )
HPRI-CT-1999-00075: „Hysens – DAIS/ROSIS Imaging Spectrometers at DLR”, HS2002-PL4, „Airborne spectrometry for abandoned mine site classification and
environmental monitoring at the Machów sulphur mine district in Poland”
Image processing methodology
ENVI, PCI
1.1. InitialInitial processingprocessing -- radiometric calibration, atmospherical effect removingVNIR, SWIR
Flat FieldIARR (Internal Average Relative Reflectance)Emiprical Line
TIREmissivity NormalizationReference Channel
22.. Thematic transformationClasical
Supervised classification
SAM
SpecialSpectral Feature Fitting (SFF)Spectral Unmixing (SU)Spectral Analyst (SA)
Hyperspectral data - non-imaging spectrometersASD ASD -- AnalyticalAnalytical SpectralSpectral DevicesDevices IncInc 0.3-2.5 µm BoulderBoulder, , ColoradoColorado, , USA (TU USA (TU ClausthalClausthal))
Micro Fourier Transform Interferometer 2-14 µm Design&PrototypesUSA (AGH Kraków)
A1
0.850.870.890.910.930.950.970.991.011.031.05
8 9 10 11 12 13 14
A1_plytka_
0.850.870.890.910.930.950.970.991.011.031.05
8 9 10 11 12 13 14
2
0.900.910.920.930.940.950.960.970.980.991.001.011.021.031.041.05
8 9 10 11 12 13 14
Serie1Serie2Serie3
Reference – sand/sulphur mixtures
100% S 50% S
50% piasek
25% S
75% piasek
100% piasek
2% S
98% piasek
5% S
95% piasek
10% S90% piasek
2 3 4 5
1 7 6
1 - 0% sulphur 100% sand
2 - 100 % sulphur 0% sand
3 - 50 % sulphur 50% sand
4 - 25% sulphur 75% sand
5 - 10 % sulphur 90% sand
6 - 5 % sulphur 95% sand
7 - 2 % sulphur 98% sand
refle
ctan
ce
emis
sivi
ty
Changes of SiO2 peak depth caused by sulphurem
issi
vity
pomiar wzorców
R2 = 0.6278
-0.02
0
0.020.04
0.06
0.08
0.1
0.120.14
0.16
0.18
0 10 20 30 40 50 60 70 80
pomiar terenowy
R2 = 0.698
-0.020
0.020.040.060.080.1
0.120.140.160.18
0 10 20 30 40 50 60 70 80
pomiar prób laboratoryjnych
R2 = 0.641
-0.020
0.020.040.060.080.1
0.120.140.160.18
0 10 20 30 40 50 60 70 80
Reference sand/sulphur mixture
Field measurements
Laboratory measurements of probes
% Sulphur
% Sulphur% Sulphur
Peak
dept
hPe
akde
pth
Peak
dept
h
Calibration of DAIS
mine area in Piaseczno
before
VNIR i SWIR
after
watersand
sandwater
Calibration TIR
before
after
Comparison with
JPL (Jet Propulsion Laboratotry)
0,75
0,80
0,85
0,90
0,95
1,00
4 5 6 7 8 9 10 11 12 13
Water DAISWater JPL
Sand DAISSand JPL
InitialInitial correctioncorrection acceptedaccepted
sand water
Information extraction – spectral curve analysis
vegetation
sand
sulphur
FTIR spectrometer DAIS averaging
DAIS continuum
SpectralSpectral FeatureFeature FittingFitting (SFF)(SFF)SpectralSpectral UnmixingUnmixing (SU)(SU)SpectralSpectral AnalystAnalyst (SA)(SA)ResultsResults not not satisfactorysatisfactory
Klasyfikacja
Piaseczno Jeziórko test site
0.80-0.82
0.82-0.870.87-0.880.88-0.890.89-0.90
0.90-0.91
0.91-0.92
0.92-0.93
Information extraction – spectral curve analysisVariation of emissiviy coefficient in 74 DAIS channel
pomiar terenowy
R2 = 0.698
-0.020
0.020.040.060.080.1
0.120.140.160.18
0 10 20 30 40 50 60 70 80
% Sulphur
Peak
dept
h
Information extraction – vegetation indexNDVI
Summary
vegetation
sand
sulphur
sulphur
TIR
VNIR I SWIR vegetation