TAILING MODELLED AND MEASURED SPECTRUM FOR MINE TAILING MAPPING IN TUNISIAN SEMI-ARID CONTEXT.pptx

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  • 1. RME TAILING MODELLED AND MEASURED SPECTRUM FOR MINE TAILING MAPPING IN TUNISIAN SEMI-ARID CONTEXT N. Mezned1,2, S. Abdeljaouad1 , M. R. Boussema3 1 RME/FST, 2Isepbg 3 LTSIRS/ENIT, (Tunis, Tunisia) (Tunis, Tunisia) (Tunis, Tunisia) 2011 IEEE Internaional Geoscience and RemoteN. Mezned 1 Sensing Symposium- 29 july
  • 2. Context Mine tailing impact Soils Vegetation Ecologic Systems Water qualityBa/Fl Hammam Zriba mine site Pb/Zn Jebel Hallouf-Bouaouane mine Pb/Zn Jebel Ressas mine site Tunisia Pb/Zn Jebel Ressas mine site Tunisia Tunisia site Tunisia Human life 2011 IEEE Internaional Geoscience and N. Mezned Remote Sensing Symposium- 29 july 2
  • 3. Context North of Tunisia: several types of mine(Pb, Zn, Fl, …, etc.) Mejerda river watershed: precioussource of water a Environment risks a a 2011 IEEE Internaional Geoscience and N. Mezned Remote Sensing Symposium- 29 july 3
  • 4. Context Necessity of mine tailing mapping Advantages: low costs spatial coverage Remote sensing: satellite data 2011 IEEE Internaional Geoscience and N. Mezned Remote Sensing Symposium- 29 july 4
  • 5. OUTLINES1) Context2) Study area and problematic3) The used data4) The proposed approach5) Experimental results6) Conclusion and perspectives 2011 IEEE Internaional Geoscience and N. Mezned Remote Sensing Symposium- 29 july 5
  • 6. 2) Study area and problematic Mine tailings Kassab Wady Jebel Hallouf-Bouaouane Mine Mejerda River N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july 6
  • 7. 2) Study area and problematic Jebel Hallouf-Bouaouane  188 mille tonnes of metal (84 Pb et 64 Zn) in 1952  Abandoned since 1986 Important quantity of tailing Mine activity Environment impact Terrain subsidence N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july 7
  • 8. OUTLINES1) Context2) Study area and problematic3) Work positioning4) The used data5) The proposed approach6) Experimental results7) Conclusion and perspectives N. Mezned 2011 IEEE Internaional Geoscience and 8 Remote Sensing Symposium- 29 july
  • 9. 3) Work positioning  Passive Remote sensed data Multispectral data Hyperspectral data (landsat TM, ETM+, ASTER, etc.) (Hyperion,HyMap, etc.) Mine site mapping using HyMapMineral mapping using Landsat TM (Taylor and Vukovic, 2001) anddata, (Zhang et al., 2007) Probe data (Staenz et al., 2003) Mineral mapping using Landsat ETM+ data and field spectra measured with + ASD spectroradiometer , (Liu et al., 2003) field measured spectra or spectra from publicly library N. Mezned 2011 IEEE Internaional Geoscience and 9 Remote Sensing Symposium- 29 july
  • 10. 3) Work positioning  Passive Remote sensed data  Problems : • Mine tailing risks on environment and human health  Objective:  Mine tailing mapping using multispectral data  Tailing modelled spectra with respect to the field truth SMA overcome the luck of spectroradimeter N. Mezned 2011 IEEE Internaional Geoscience and 10 Remote Sensing Symposium- 29 july
  • 11. OUTLINES1) Context2) Study area and problematic3) Work positioning4) The used data5) The proposed approach6) Experimental results7) Conclusion and perspectives N. Mezned 2011 IEEE Internaional Geoscience and 11 Remote Sensing Symposium- 29 july
  • 12. 3) The used data  Multispectral data: Landsat ETM+ • 6 bands, • 30 m, Landsat ETM+  Publically library: JPL spectral data (05/03/2000)  Field campaign data: Mineral identification and abundance estimation • 18 samples/dyke = 54 tailing measurements, N. Mezned 2011 IEEE Internaional Geoscience and 12 Remote Sensing Symposium- 29 july
  • 13. OUTLINES1) Context2) Study area: Soil salinity, the problematic3) The used data4) Work positioning5) The proposed approach6) Experimental results7) Conclusion and perspectives N. Mezned 2011 IEEE Internaional Geoscience and 13 Remote Sensing Symposium- 29 july
  • 14. 5) The proposed approach Tailing modeling spectrum for ETM+ classification: spectral unmixing ETM+ image endmember pre- Classification Validation processing selection N. Mezned 2011 IEEE Internaional Geoscience and 14 Remote Sensing Symposium- 29 july
  • 15. 5) The proposed approach Tailing modeling spectrum for ETM+ classification: spectral unmixing ETM+ image endmember pre- Classification Validation processing selection Vegetation Soils Tailing component spectrum? Direct mean: Measured by spectroradiometer Indirect mean: Modelled with respect of field truth N. Mezned 2011 IEEE Internaional Geoscience and 15 Remote Sensing Symposium- 29 july
  • 16. 5) The proposed approach Tailing modeling spectrum for ETM+ classification: spectral unmixing ETM+ image endmember pre- Classification Validation processing selection Linear spectral unmixing 1. Vegetation 3 fraction maps 2. Soils 3. Mine tailings Measured Modelled spectrum spectrum N. Mezned 2011 IEEE Internaional Geoscience and 16 Remote Sensing Symposium- 29 july
  • 17. 5) The proposed approach Tailing modeling spectrum for ETM+ classification: spectral unmixing ETM+ image endmember pre- Classification Validation processing selection Comparison RMS errors N. Mezned 2011 IEEE Internaional Geoscience and 17 Remote Sensing Symposium- 29 july
  • 18. OUTLINES1) Context2) Study area: Soil salinity, the problematic3) The used data4) Work positioning5) The proposed approach6) Experimental results7) Conclusion and perspectives N. Mezned 2011 IEEE Internaional Geoscience and 18 Remote Sensing Symposium- 29 july
  • 19. 5) Experimental results 1. Tailing modelled spectrum: SMA Hematite JPL library Kaolinite Goethite Pyrite Re sampled spectra to Landsat ETM+ band passes Galena linear combination Quartz Calcite Sphalerite Tailing Modelled spectrum N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july 19
  • 20. 5) Experimental results 1. Tailing mlodelled spectrum: SMA Sampling 18 samples for each dyke = 54 samples Laboratory analysis - X Ray Diffraction XRD Identification - Calcimetry and - Counting on polished sections % of minerals N. Mezned 2011 IEEE Internaional Geoscience and 20 Remote Sensing Symposium- 29 july
  • 21. 5) Experimental results 2. ETM+ Linear spectral unmixing • We used both ASD measured and SMA modelled spectra in the classification processes, Mine tailing fraction maps generated from the ETM+ linear spectral unmixing using: (a) the measured spectrum with ASD spectroradiometer and (b) the modelled tailing spectrum and (c) 21 N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july
  • 22. 5) Experimental results 2. Classification validation 99.6 % of pixels have an RMS errors: < 2.6 10-5 using the modelled spectrum,tailing map < 1.9 10-5 using the measured spectrum. < 3.3 10-5 using derived ETM+ spectrum 22 N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july
  • 23. 5) Experimental results 2. Classification validation 99.6 % of pixels have an RMS errors: < 2.6 10-5 using the modelled spectrum,tailing map < 1.9 10-5 using the measured spectrum. < 3.3 10-5 using derived ETM+ spectrum 23 N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july
  • 24. 5) Experimental results 2. Classification validation 99.6 % of pixels have an RMS errors: < 2.6 10-5 using the modelled spectrum,tailing map < 1.9 10-5 using the measured spectrum. < 3.3 10-5 using derived ETM+ spectrum 24 N. Mezned 2011 IEEE Internaional Geoscience and Remote Sensing Symposium- 29 july
  • 25. OUTLINES1) Context2) Study area: Soil salinity, the problematic3) The used data4) Work positioning5) The proposed approach6) Experimental results7) Conclusion and perspectives N. Mezned 2011 IEEE Internaional Geoscience and 25 Remote Sensing Symposium- 29 july
  • 26. 6) Conclusion and perspectivesConclusion The results comparison indicate that the modelled spectrum can evenbetter characterize the tailings in the case of semi-arid context, The SMA approach can be an optimal solution to replace the lack of thespectroradiometer and can be applied successfully to multispectral dataanalysis, particularly those acquired during previous periods.PerspectivesWe plan for more campaign, We propose to test the SMA approach for different mining sites. N. Mezned 2011 IEEE Internaional Geoscience and 26 Remote Sensing Symposium- 29 july
  • 27. Thanks for your attentionN. Mezned 2011 IEEE Internaional Geoscience and 27 Remote Sensing Symposium- 29 july