%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Lagacherie, P.
%A Gomez, Cécile
%T What can GlobalSoilMap expect from Vis-NIR HyperSpectral Imagery in the near future ?
%B GlobalSoilMap : basis of the global spatial soil information system
%C Leyde
%D 2014
%E Arrouays, D.
%E McKenzie, N.
%E Hempel, J.
%E Richer de Forges, A.C.
%E McBratney, A.
%L fdi:010067854
%G ENG
%I CRC
%@ 978-1-138-00119-0
%K CARTE PEDOLOGIQUE ; APTITUDE DU SOL ; AIDE A LA DECISION ; IMAGE SATELLITE ; REFLECTANCE ; ANALYSE SPATIALE ; ANALYSE SPECTRALE
%K FRANCE
%M ISI:000341268700064
%P 387-392
%U https://www.documentation.ird.fr/hor/fdi:010067854
%> https://www.documentation.ird.fr/intranet/publi/depot/2016-07-28/010067854.pdf
%W Horizon (IRD)
%X Legacy soil inputs that are too sparse often limit the performances of Digital Soil Mapping performed in GlobalSoilMap (GSM). In this paper, we explore how the maps of predicted soil properties obtained from Visible-near infrared HyperSpectral Imagery (HSI) could be used in GSM to complement or substitute for the classical spatial sampling obtained from laboratory analysis. We demonstrated in the La Peyne catchment (southern France) that these maps could be a valuable soil input for upgrading existing soil maps, retrieving correlations with relief variables or building variograms. We then proposed a decision tree for using this new soil input in a variety of data situations that should be encountered in GSM applications. Expected progresses in hyperspectral images availability and spectral reflectance interpretation models should enhance the use of this soil input in GSM.
%B GlobalSoilMap
%8 2013/10/07-09
%$ 068SPASOL ; 126TELAPP03