DocumentCode
3382466
Title
Modelling of tailing spectrum of the Tunisian semi-arid context
Author
Mezned, Nouha ; Abdeljaoued, Saadi ; Boussema, Mohamed Rached
Author_Institution
Lab. des Ressources Minrales et Environnement, Campus Univ. du Belvdre, Tunis, Tunisia
fYear
2010
fDate
25-30 July 2010
Firstpage
2784
Lastpage
2787
Abstract
The spatial cartography is very effective for the study of the mine tailing which often show a not uniform and wide spatial distribution. Field spectral data, measured on the ground by a spectroradiometer are very important and needed for tailing classification. In this study, we explore for the first time the mine tailing cartography with remote sensing techniques for Jebel Hallouf-Bouaouane mine in Tunisia. Our methodology is based on a Spectral Modelling Approach SMA using the library reflectance fusion. The main contribution is to estimate the tailing components´ spectral reflectance by direct means. This allows us to replace the lack of the field data needed for mine tailing cartography. The results indicate that SMA can be applied successfully to multispectral data.
Keywords
cartography; geophysical image processing; mining; pollution measurement; reflectivity; remote sensing; Jebel Hallouf-Bouaouane mine; Tunisian semi-arid area; field spectral data; library reflectance fusion; mine tailing cartography; remote sensing; spatial cartography; spectral modelling approach; spectral reflectance; spectroradiometer; tailing classification; tailing spectrum; Data models; Grain size; Laboratories; Libraries; Minerals; Remote sensing; Variable speed drives; Laboratory analysis; Spectral Modelling Approach SMA; field data; mineral spectra fusion; tailing cartography; tailing modelling spectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5654457
Filename
5654457
Link To Document