Willem W. Verstraeten
Orcid: 0000-0002-7222-5212
According to our database1,
Willem W. Verstraeten
authored at least 22 papers
between 2008 and 2018.
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Bibliography
2018
Top-Down NO<sub>X</sub> Emissions of European Cities Based on the Downwind Plume of Modelled and Space-Borne Tropospheric NO<sub>2</sub> Columns.
Sensors, 2018
2016
Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements.
Remote. Sens., 2016
2012
Remotely sensed vegetation moisture as explanatory variable of Lyme borreliosis incidence.
Int. J. Appl. Earth Obs. Geoinformation, 2012
2011
The Properties of Terrestrial Laser System Intensity for Measuring Leaf Geometries: A Case Study with Conference Pear Trees (<i>Pyrus Communis</i>).
Sensors, 2011
3D modeling of light interception in heterogeneous forest canopies using ground-based LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2011
A time-integrated MODIS burn severity assessment using the multi-temporal differenced normalized burn ratio (dNBR<sub>MT</sub>).
Int. J. Appl. Earth Obs. Geoinformation, 2011
2010
Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning.
Remote. Sens., 2010
Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity.
Int. J. Appl. Earth Obs. Geoinformation, 2010
Spectral mixture analysis to monitor defoliation in mixed-aged Eucalyptus globulus Labill plantations in southern Australia using Landsat 5-TM and EO-1 Hyperion data.
Int. J. Appl. Earth Obs. Geoinformation, 2010
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Soil reflectance modeling & hyperspectral mixture analysis: Towards vegetation spectra minimizing the soil background contamination.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
2009
Magnitude- and Shape-Related Feature Integration in Hyperspectral Mixture Analysis to Monitor Weeds in Citrus Orchards.
IEEE Trans. Geosci. Remote. Sens., 2009
Evaluation and Normalization of Cloud Obscuration Related BRDF Effects in Field Spectroscopy.
Remote. Sens., 2009
Hyperspectral Reflectance and Fluorescence Imaging to Detect Scab Induced Stress in Apple Leaves.
Remote. Sens., 2009
RPV Model Parameters Based on Hyperspectral Bidirectional Reflectance Measurementsof<i> Fagus sylvatica </i>L. Leaves.
Remote. Sens., 2009
Assessing the Impact of Canopy Structure Simplification in Common Multilayer Models on Irradiance Absorption Estimates of Measured and Virtually Created <i>Fagus sylvatica </i>(L.) Stands.
Remote. Sens., 2009
Normalization of Illumination Conditions for Ground based Hyperspectral Measurements using Dual Field of View Spectroradiometers and BRDF Corrections.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Detecting Citrus Tree Water Status by Integrating Hyperspectral Remote Sensing and Physiological Data in a Water Flow-storage Model.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Integration of Magnitude and Shape Related Features in Hyperspectral Mixture Analysis to Monitor Weeds In Citrus Orchards.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008