Detection of soil contamination by sulphur using field and

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