Jan G. P. W. Clevers
Orcid: 0000-0002-0046-082XAffiliations:
- Wageningen University, Centre for Geo-Information, Netherlands
According to our database1,
Jan G. P. W. Clevers
authored at least 38 papers
between 2007 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
Remote. Sens., 2021
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI.
Remote. Sens., 2020
2018
Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor.
Remote. Sens., 2018
Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57.
Remote. Sens., 2018
Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data - potential of unmanned aerial vehicle imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Hyperspectral Remote Sensing: Fundamentals and Practices, Ruiliang Pu, CRC Press, Boca Raton (2017). 466pp., Price: Hardback £ 155, Paperback £ 75. ISBN: 978-1-4987-3159-1 (Hardback), 978-1-1387-4717-3 (Paperback).
Int. J. Appl. Earth Obs. Geoinformation, 2018
Spatial Enhancement of Modis Leaf Area Index Using Regression Analysis with Landsat Vegetation Index.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle.
Remote. Sens., 2017
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop.
Remote. Sens., 2017
2016
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle - Results for Barley, Winter Wheat, and Potato.
Remote. Sens., 2016
Performance of vegetation indices from Landsat time series in deforestation monitoring.
Int. J. Appl. Earth Obs. Geoinformation, 2016
Fundamentals of Satellite Remote Sensing: An Environmental Approach, second edition, Emilio Chuvieco. CRC Press, Boca Raton (2016).
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Microwave Radar and Radiometric Remote Sensing, F.T. Ulaby, D.G. Long. University of Michigan Press, Ann Arbor (2014).
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Minimizing Measurement Uncertainties of Coniferous Needle-Leaf Optical Properties, Part I: Methodological Review.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Minimizing Measurement Uncertainties of Coniferous Needle-Leaf Optical Properties. Part II: Experimental Setup and Error Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
2013
Assessing Water Stress of Desert Tamarugo Trees Using<i> in situ</i> Data and Very High Spatial Resolution Remote Sensing.
Remote. Sens., 2013
Estimating salinity stress in sugarcane fields with spaceborne hyperspectral vegetation indices.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Modelling the spectral response of the desert tree Prosopis tamarugo to water stress.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2012
Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Sensors, 2012
Mapping LAI and chlorophyll content from at-sensor APEX data using a Bayesian optimisation of a coupled canopy-atmosphere model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping.
IEEE Trans. Geosci. Remote. Sens., 2011
A Dutch multi-date land use database: Identification of real and methodological changes.
Int. J. Appl. Earth Obs. Geoinformation, 2011
Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
Merging the Minnaert- k Parameter With Spectral Unmixing to Map Forest Heterogeneity With CHRIS/PROBA Data.
IEEE Trans. Geosci. Remote. Sens., 2010
Int. J. Appl. Earth Obs. Geoinformation, 2010
2009
Mapping of aggregated floodplain plant communities using image fusion of CASI and LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2009
Russell G. Congalton, Kass Green, Assessing the Accuracy of Remotely Sensed Data - Principles and Practices Second edition (2009) CRC Press, Taylor & Francis Group, Boca Raton, FL 978-1-4200-5512-2 183 pp., Price: $99.95.
Int. J. Appl. Earth Obs. Geoinformation, 2009
Fusing Minnaert-k parameter with spectral unmixing for forest heterogeneity mapping using CHRIS-PROBA data.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
2008
IEEE Geosci. Remote. Sens. Lett., 2008
Using spectral information from the NIR water absorption features for the retrieval of canopy water content.
Int. J. Appl. Earth Obs. Geoinformation, 2008
2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007