[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.
Tychon, Bernard ; Université de Liège - ULiège > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement
Language :
English
Title :
Estimation of surface soil organic matter by means of hyperspectral data analysis.
Publication date :
19 November 2003
Number of pages :
6
Event name :
Thematic day of the Belgian Soil Science Society Carbon sequestration in terrestrial ecosystems
Event organizer :
Ghent University, Université Catholique de Louvain