Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  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.
['Nouha Mezned', 'Saadi Abdeljaoued', 'Mohamed Rached Boussema']
I am writing a research paper on a idea Modelling of tailing spectrum of the Tunisian semi-arid context
[{"from": "human", "value": "I am writing a research paper on a idea Modelling of tailing spectrum of the Tunisian semi-arid context"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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,  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."}]