92
ated from the processing of ASTER TIR data. This result highlights the contribution of our
approach using the TIR data for the first time for phosphate mapping (Fig. 5c).
The validation of the different maps was conducted through the comparison of the phosphate perspectives delineated in Aster VNIR, SWIR and TIR maps and the geological map
(TMS, 2012) and the perspective map (Celamin Holding, 2012). Thus, a Kappa coefficient
was calculated for all maps and revealed that the proposed approach is efficient. Indeed, the
different results generated from the matched filtering of the VNIR, SWIR and TIR data
show a calculated kappa coefficient equal to 0.89, 0.95 and 0.86, respectively.
5 CONCLUSION
In study, a new methodology based on the use of hyperspectral spectroscopy and ASTER multispectral data is proposed for the exploration of phosphates in a specific geologic and abruptly
topographic context in Tunisia. Testing the ability of all ASTER VNIR, SWIR and particularly TIR data for a sedimentary phosphate exploration and mapping is absent in the literatures. Thus, the contribution of this study consists in mapping sedimentary phosphates in the
Chaketma mine site in the center west of Tunisia using ASTER VNIR, SWIR and TIR data.
Resulting maps from the processing of All ASTER data using MF method highlighted phosphate rocks in the different perspectives of Gassaa Kebira and Kef Ellouz, already identified
and revealed in the geological map (TMS, 2012). However, other no prospected phosphate outcrops, were detected and appear up the slope of the Oum Esseba Mountain. Given this abrupt
landscape, the contribution of this approach is well highlighted. Moreover, these results allow
to better mark out phosphates and minimize the impact of their exploitation on environment.
ACKNOWLEDGEMENT
Authors would like to express their gratitude for Mr. Taoufik Mansouri, Engineering and
the Director of the Tunisian Mining Service TMS, as well as Mr. Mustapha Ben Belgacem,
Engineering, for their great support, help and assistance in the Chaketma mine site.
ABBREVIATIONS
ASD: Analytical Spectral Devices
ASTER: Advanced Spaceborne Thermal Emission and Reflection Radiometer
MF: Matched Filtering
PC: Principle Component
PCA: Principle Component Analysis
SWIR: Short Waves and InfraRed
TIR: Thermal InfraRed
TMS: Tunisian Mining Service
VNIR: Visible and Near InfraRed
XRD: X-Ray Diffraction
REFERENCES
Alayet, F. Mezned, N. Sebai, A. Abdeljaouad S. 2017. Continuum removed band depth analysis for carbonate mining waste quantification using XRD and Hyperspectral spectroscopy in the north of Tunisia.
Journal of Applied Remote Sensing, SPIE. 11(1):016021.
Celamin Holdings. 2012. Maiden JORC Ressource: 37 millions de tonnes au projet Chaketma phosphate.
C. Holdings (Éd.), ASX announcment. Celamin Holdings.
Chaabani, F. 1978. Les phosphorites de la coupe de Foum Selja (Metlaoui, Tunisie), une série sédimentaire séquentielle a évaporite du paléocène. thèse 3 ème cycle.
ated from the processing of ASTER TIR data. This result highlights the contribution of our
approach using the TIR data for the first time for phosphate mapping (Fig. 5c).
The validation of the different maps was conducted through the comparison of the phosphate perspectives delineated in Aster VNIR, SWIR and TIR maps and the geological map
(TMS, 2012) and the perspective map (Celamin Holding, 2012). Thus, a Kappa coefficient
was calculated for all maps and revealed that the proposed approach is efficient. Indeed, the
different results generated from the matched filtering of the VNIR, SWIR and TIR data
show a calculated kappa coefficient equal to 0.89, 0.95 and 0.86, respectively.
5 CONCLUSION
In study, a new methodology based on the use of hyperspectral spectroscopy and ASTER multispectral data is proposed for the exploration of phosphates in a specific geologic and abruptly
topographic context in Tunisia. Testing the ability of all ASTER VNIR, SWIR and particularly TIR data for a sedimentary phosphate exploration and mapping is absent in the literatures. Thus, the contribution of this study consists in mapping sedimentary phosphates in the
Chaketma mine site in the center west of Tunisia using ASTER VNIR, SWIR and TIR data.
Resulting maps from the processing of All ASTER data using MF method highlighted phosphate rocks in the different perspectives of Gassaa Kebira and Kef Ellouz, already identified
and revealed in the geological map (TMS, 2012). However, other no prospected phosphate outcrops, were detected and appear up the slope of the Oum Esseba Mountain. Given this abrupt
landscape, the contribution of this approach is well highlighted. Moreover, these results allow
to better mark out phosphates and minimize the impact of their exploitation on environment.
ACKNOWLEDGEMENT
Authors would like to express their gratitude for Mr. Taoufik Mansouri, Engineering and
the Director of the Tunisian Mining Service TMS, as well as Mr. Mustapha Ben Belgacem,
Engineering, for their great support, help and assistance in the Chaketma mine site.
ABBREVIATIONS
ASD: Analytical Spectral Devices
ASTER: Advanced Spaceborne Thermal Emission and Reflection Radiometer
MF: Matched Filtering
PC: Principle Component
PCA: Principle Component Analysis
SWIR: Short Waves and InfraRed
TIR: Thermal InfraRed
TMS: Tunisian Mining Service
VNIR: Visible and Near InfraRed
XRD: X-Ray Diffraction
REFERENCES
Alayet, F. Mezned, N. Sebai, A. Abdeljaouad S. 2017. Continuum removed band depth analysis for carbonate mining waste quantification using XRD and Hyperspectral spectroscopy in the north of Tunisia.
Journal of Applied Remote Sensing, SPIE. 11(1):016021.
Celamin Holdings. 2012. Maiden JORC Ressource: 37 millions de tonnes au projet Chaketma phosphate.
C. Holdings (Éd.), ASX announcment. Celamin Holdings.
Chaabani, F. 1978. Les phosphorites de la coupe de Foum Selja (Metlaoui, Tunisie), une série sédimentaire séquentielle a évaporite du paléocène. thèse 3 ème cycle.