SPIE (the international society for optics and photonics) a publié en ligne les résumés des présentations scientifiques du congrés SPIE Remote Sensing, 2015. Un certain nombre de travaux intéressants pour nos domaines ont été publiés dans la session : Remote Sensing for Agriculture, Ecosystems, and Hydrology. En particulier :
Determination of pasture quality using airborne hyperspectral imaging. RR Pullanagari, G Kereszturi, IJ Yule, ME Irwin – SPIE Remote Sensing, 2015.  Keywords: pasture quality, hyperspectral remote sensing, partial least squares.
Monitoring the ratio of leaf carbon to nitrogen in winter wheat with hyperspectral measurements; »>X Xu, X Yang, X Gu, H Yang, H Feng, G Yang, X Song – SPIE Remote Sensing, 2015. Keywords: Carbon ; Nitrogen ; Reflectivity.
Application of a regularized model inversion system (REGFLEC) to multi-temporal RapidEye imagery for retrieving vegetation characteristics; R Houborg, MF McCabe – SPIE Remote Sensing, 2015. Keywords: Vegetation ; Agriculture ; Satellites ; Sensors ; Simulations ; Water ; Carbon ; Composites ; Reflectivity ; Remote sensing.
Winter wheat growth spatial variation monitoring through hyperspectral remote sensing image; X Song, T Li, J Wang, X Gu, X Xu – SPIE Remote Sensing, 2015. Keywords: Hyperspectral sensing ; Mid-IR ; Near infrared ; Remote sensing ; Spectrometers.
Estimation of leaf chlorophyll content in winter wheat using variable importance for projection (VIP) with hyperspectral data; P He, X Xu, B Zhang, Z Li, H Feng, G Yang, Y Zhang – SPIE Remote Sensing, 2015. Keywords: