DocumentCode :
144249
Title :
Enhanced mapping and monitoring of mine tailings based on Landsat ETM+ and SPOT 5 fusion in the North of Tunisia
Author :
Mezned, Nouha ; Mechrgui, Nada ; Abdeljaouad, Saadi
Author_Institution :
Lab. de Ressources Miner. et Environ., Univ. Tunis El Manar, Tunis, Tunisia
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
4800
Lastpage :
4803
Abstract :
Mine tailings constitute an alarming source of pollution that threatens soils, vegetation and human health around Jebel Hallouf-Bouaouane mine site. Because of their widespread geographical distribution; their location and extent, the characterization of mine tailings using traditional field work alone is both costly and inefficient. In this study, we explore remote sensing techniques based on multispectral and multisensory data fusion. Our contribution consists in enhanced mine tailing map generation using both SPOT 5 panchromatic and Landsat ETM+ multispectral data. Results of the linear spectral unmixing of the resulting hybrid image tend to field truth. The inter-comparison of unmixing results indicates that this methodology can be applied successfully to multispectral data for multi-temporal monitoring of mine tailings.
Keywords :
environmental monitoring (geophysics); geophysical image processing; image fusion; mining; remote sensing; soil pollution; vegetation; Jebel Hallouf-Bouaouane mine site; Landsat ETM+ fusion; SPOT 5 fusion; Tunisia North; enhanced mine tailings mapping; geographical distribution; human health; linear spectral unmixing; mine tailings monitoring; multitemporal monitoring; soils; vegetation; Earth; Monitoring; Remote sensing; Satellites; Soil; Spatial resolution; Vegetation mapping; Landsat ETM+; Mine tailing mapping; Spot 5; data fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947568
Filename :
6947568
Link To Document :
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