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Jan G. P. W. Clevers
- > Home > Persons > Jan G. P. W. Clevers
Publications
- 2021
- [j31]Na Wang, Juha Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Dainius Masiliunas, Jan G. P. W. Clevers:
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 96: 102276 (2021) - 2018
- [j28]Peter P. J. Roosjen, Benjamin Brede, Juha M. Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Jan G. P. W. Clevers:
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 66: 14-26 (2018) - 2017
- [j24]Jan G. P. W. Clevers, Lammert Kooistra, Marnix M. M. van den Brande:
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop. Remote. Sens. 9(5): 405 (2017) - [j23]Peter P. J. Roosjen, Juha M. Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Jan G. P. W. Clevers:
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote. Sens. 9(5): 417 (2017) - 2012
- [j10]Jan G. P. W. Clevers, Lammert Kooistra:
Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 574-583 (2012) - 2011
- [c5]Jan G. P. W. Clevers, Lammert Kooistra:
Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content. WHISPERS 2011: 1-4 - 2010
- [j7]Jan G. P. W. Clevers, Lammert Kooistra, Michael E. Schaepman:
Estimating canopy water content using hyperspectral remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 12(2): 119-125 (2010) - 2009
- [c4]Jan G. P. W. Clevers, Lammert Kooistra:
Using hyperspectral remote sensing data for retrieving canopy water content. WHISPERS 2009: 1-4 - 2008
- [j3]Jan G. P. W. Clevers, Lammert Kooistra, Michael E. Schaepman:
Using spectral information from the NIR water absorption features for the retrieval of canopy water content. Int. J. Appl. Earth Obs. Geoinformation 10(3): 388-397 (2008)
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