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Jan G. P. W. Clevers
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- affiliation: Wageningen University, Centre for Geo-Information, Netherlands
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2020 – today
- 2021
- [j31]Na Wang
, Juha Suomalainen
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) - [j30]Panpan Xu
Assessing a Prototype Database for Comprehensive Global Aquatic Land Cover Mapping. Remote. Sens. 13(19): 4012 (2021) - 2020
- [j29]Benjamin Brede
Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI. Remote. Sens. 12(6): 915 (2020)
2010 – 2019
- 2018
- [j28]Peter P. J. Roosjen, Benjamin Brede
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) - [j27]Jan G. P. W. Clevers:
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 67: 96-97 (2018) - [j26]Benjamin Brede
Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57. Remote. Sens. 10(7): 1032 (2018) - [j25]Michael Schultz, Aurélie Shapiro
Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor. Remote. Sens. 10(11): 1850 (2018) - [c7]Georgios Ovakoglou
Spatial Enhancement of Modis Leaf Area Index Using Regression Analysis with Landsat Vegetation Index. IGARSS 2018: 8232-8235 - 2017
- [j24]Jan G. P. W. Clevers, Lammert Kooistra
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
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote. Sens. 9(5): 417 (2017) - 2016
- [j22]Jan G. P. W. Clevers:
Fundamentals of Satellite Remote Sensing: An Environmental Approach, second edition, Emilio Chuvieco. CRC Press, Boca Raton (2016). Int. J. Appl. Earth Obs. Geoinformation 51: 74-75 (2016) - [j21]Michael Schultz, Jan G. P. W. Clevers, Sarah Carter
Performance of vegetation indices from Landsat time series in deforestation monitoring. Int. J. Appl. Earth Obs. Geoinformation 52: 318-327 (2016) - [j20]Peter P. J. Roosjen, Juha Suomalainen
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle - Results for Barley, Winter Wheat, and Potato. Remote. Sens. 8(11): 909 (2016) - 2015
- [j19]Jan G. P. W. Clevers:
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 34: 264-265 (2015) - [j18]Lucia Yáñez-Rausell, Zbynek Malenovský
Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4) (2015) - 2014
- [j17]Lucia Yáñez-Rausell, Michael E. Schaepman
Minimizing Measurement Uncertainties of Coniferous Needle-Leaf Optical Properties, Part I: Methodological Review. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 399-405 (2014) - [j16]Lucia Yáñez-Rausell, Zbynek Malenovský
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. 7(2): 406-420 (2014) - 2013
- [j15]Roberto O. Chávez
Modelling the spectral response of the desert tree Prosopis tamarugo to water stress. Int. J. Appl. Earth Obs. Geoinformation 21: 53-65 (2013) - [j14]Saeid Hamzeh, Abd Ali Naseri, Seyed Kazem Alavipanah
Estimating salinity stress in sugarcane fields with spaceborne hyperspectral vegetation indices. Int. J. Appl. Earth Obs. Geoinformation 21: 282-290 (2013) - [j13]Jan G. P. W. Clevers, Anatoly A. Gitelson:
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 23: 344-351 (2013) - [j12]Roberto O. Chávez
Assessing Water Stress of Desert Tamarugo Trees Using in situ Data and Very High Spatial Resolution Remote Sensing. Remote. Sens. 5(10): 5064-5088 (2013) - 2012
- [j11]Peter P. J. Roosjen
A Laboratory Goniometer System for Measuring Reflectance and Emittance Anisotropy. Sensors 12(12): 17358-17371 (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) - [c6]Valerie C. E. Laurent, Wout Verhoef, Michael E. Schaepman
Mapping LAI and chlorophyll content from at-sensor APEX data using a Bayesian optimisation of a coupled canopy-atmosphere model. IGARSS 2012: 5685-5688 - 2011
- [j9]Gerard W. Hazeu
A Dutch multi-date land use database: Identification of real and methodological changes. Int. J. Appl. Earth Obs. Geoinformation 13(4): 682-689 (2011) - [j8]Raúl Zurita-Milla
Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping. IEEE Trans. Geosci. Remote. Sens. 49(11): 4308-4317 (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
Estimating canopy water content using hyperspectral remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 12(2): 119-125 (2010) - [j6]Jochem Verrelst
Merging the Minnaert- k Parameter With Spectral Unmixing to Map Forest Heterogeneity With CHRIS/PROBA Data. IEEE Trans. Geosci. Remote. Sens. 48(11): 4014-4022 (2010)
2000 – 2009
- 2009
- [j5]Jochem Verrelst
Mapping of aggregated floodplain plant communities using image fusion of CASI and LiDAR data. Int. J. Appl. Earth Obs. Geoinformation 11(1): 83-94 (2009) - [j4]Jan G. P. W. Clevers:
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 11(6): 448-449 (2009) - [c4]Jan G. P. W. Clevers, Lammert Kooistra
Using hyperspectral remote sensing data for retrieving canopy water content. WHISPERS 2009: 1-4 - [c3]Jochem Verrelst
Fusing Minnaert-k parameter with spectral unmixing for forest heterogeneity mapping using CHRIS-PROBA data. WHISPERS 2009: 1-4 - 2008
- [j3]Jan G. P. W. Clevers, Lammert Kooistra
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) - [j2]Raúl Zurita-Milla
Unmixing-Based Landsat TM and MERIS FR Data Fusion. IEEE Geosci. Remote. Sens. Lett. 5(3): 453-457 (2008) - 2007
- [j1]Michael E. Schaepman
Preface. Int. J. Appl. Earth Obs. Geoinformation 9(2): 89-90 (2007) - [c2]Zbynek Malenovský
Physically-based retrievals of Norway spruce canopy variables from very high spatial resolution hyperspectral data. IGARSS 2007: 4057-4060 - [c1]Antonio J. Plaza
HYPER-I-NET: European research network on hyperspectral imaging. IGARSS 2007: 4790-4793
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