A weighted linear spectral mixture analysis approach to address endmember variability in agricultural production systems. International Journal of Remote Sensing 30, 139-147 (2009).
Towards a pan-European burnt scar mapping methodology based on single date medium resolution optical remote sensing data. International Journal of Applied Earth Observation and Geoinformation X, (2011).
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing 50, (2012).
Synergy of airborne digital camera and lidar data to map coastal dune vegetation. Journal of Coastal Research 53, 73–82 (2009).
Superresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model. Geoscience and Remote Sensing, IEEE Transactions on 48, 2569–2579 (2010).
Spectral Mixture Analysis to monitor defoliation in mixed aged Eucalyptus globules Labill plantations in southern Australia using Landsat 5TM and EO-1 Hyperion data. International Journal of Applied Earth Observation and Geoinformation 12, 270-277 (2010).
Spectral Mixture Analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: accounting for soil brightness variation. International Journal of Applied Earth Observation and Geoinformation 14, 1-11 (2012).
A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters. Remote Sensing of Environment 156, 157–168 (2015).
Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy. International Journal of Remote Sensing 29, 4463–4477 (2008).
A Seasonally Robust Empirical Algorithm to Retrieve Suspended Sediment Concentrations in the Scheldt River. Remote Sensing 2, 2040-2059. (2010).
Retrieval of suspended sediment from AHS data in the Scheldt estuary at different stages in the tidal cycle. Marine Geodesy Journal 30, 97-108 (2007).
A quantitative analysis of virtual endmembers' increased impact on the collinearity effect in spectral unmixing. IEEE Transactions on Geoscience and Remote Sensing 49, 2945-2956 (2011).
The potential and limitations of a clustering approach for the improved efficiency of Multiple Endmember Spectral Mixture Analysis in plant production system monitoring. IEEE Transactions on Geoscience and Remote Sensing 50, 2273-2286 (2012).
Pan-European Forest Maps Derived from Optical Satellite Imagery. Eartzine July 2012, (2012).
Off-nadir viewing and sensor specifications for reducing spectral mixture issues in Citrus orchards. Photogrammetric Engineering and Remote Sensing 76, 1261-1274 (2010).
Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards. Remote Sensing of Environment 113, 1183-1193 (2009).
A near-infrared narrow-waveband ratio to determine Leaf Area Index in orchards. Remote Sensing of Environment 112, (2008).
MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression. IEEE Transactions on Geoscience and Remote Sensing (accepted) X, (2013).
Monitoring herbaceous fuel moisture content with SPOT VEGETATION time-series for fire risk prediction in savanna ecosystems. Remote Sensing of Environment 108, 357-368 (2007).
Monitoring herbaceous biomas and water content with SPOT VEGETATION time-series to improve fire ris assessment in savanna ecosystems. Remote Sensing of Environment 103, 399-414 (2006).
Modeling moisture induced soil reflectance changes in cultivated sandy soils: a case study in Citrus orchards. European Journal of Soil Science 61, 1091-1105 (2010).
Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International journal of remote sensing 29, 5093–5111 (2008).
Mapping of coral reefs using hyperspectral CASI data; a case study: Fordata, Tanimbar, Indonesia. International Journal of Remote Sensing 29:8, 2359-2391, (2008).
Magnitude and shape related feature integration in hyperspectral mixture analysis to monitor weeds in citrus orchards. IEEE Transactions on Geoscience and Remote Sensing 47, 3630-3642 (2009).
Large-scale mapping of the riverbanks, mud flats and salt marshes of the Scheldt basin, using airborne imaging spectroscopy and LiDAR. International Journal of Remote Sensing 32, 2905-2918 (2011).