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| Reference : Estimation of surface soil organic matter by means of hyperspectral data analysis. |
| Scientific congresses and symposiums : Unpublished conference | |||
| Life sciences : Agriculture & agronomy | |||
| http://hdl.handle.net/2268/94317 | |||
| Estimation of surface soil organic matter by means of hyperspectral data analysis. | |
| English | |
| Touré, Souleymane [ > > ] | |
Tychon, Bernard  [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >] | |
| 19-Nov-2003 | |
| 6 | |
| Yes | |
| International | |
| Thematic day of the Belgian Soil Science Society Carbon sequestration in terrestrial ecosystems | |
| 19 novembre 2003 | |
| Ghent University, Université Catholique de Louvain | |
| Brussels | |
| Belgium | |
| [en] soil organic matter ; hyperspectral remote sensing ; agriculture ; Southern Belgium | |
| [en] Data acquired from field campaign and hyperspectral airborne sensors were processed to
determine the surface soil organic matter of an agricultural area located in Southern Belgium. The method adopted was based on a forward stepwise multiple regression analysis linking soil organic matter and hyperspectral data from two airborne sensors working in the visible and infrared domain. The results were validated successfully from an independent set of sampling points. It is concluded that the hyperspectral remote sensing approach is promising for soil organic matter prediction. Furthermore, this approach could even be improved if disturbance factors are removed. | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/2268/94317 |
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