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ORCIDPieter Kempeneers
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2020 – today
- 2023
[j19]Pieter Kempeneers
, Martin Claverie, Raphaël d'Andrimont:
Using a Vegetation Index as a Proxy for Reliability in Surface Reflectance Time Series Reconstruction (RTSR). Remote. Sens. 15(9): 2303 (2023)- 2022
- [j18]Pieter Kempeneers, Tomás Kliment, Luca Marletta, Pierre Soille:
Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure. Remote. Sens. 14(2): 398 (2022) - 2021
- [j17]Matthias Schramm, Edzer J. Pebesma, Milutin Milenkovic, Luca Foresta, Jeroen Dries, Alexander W. Jacob, Wolfgang Wagner, Matthias Mohr, Markus Neteler, Miha Kadunc, Tomasz Miksa, Pieter Kempeneers, Jan Verbesselt, Bernhard Gößwein, Claudio Navacchi, Stefaan Lippens, Johannes Reiche:
The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote. Sens. 13(6): 1125 (2021) - [c9]Sara Perez-Carabaza, Vasileios Syrris, Pieter Kempeneers, Pierre Soille:
Crop Classification from Sentinel-2 Time Series with Temporal Convolutional Neural Networks. IGARSS 2021: 6500-6503 - [i1]Raphaël d'Andrimont, Astrid Verhegghen, Guido Lemoine, Pieter Kempeneers, Michele Meroni, Marijn Van der Velde:
From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations. CoRR abs/2105.09261 (2021)
2010 – 2019
- 2019
- [j16]Daniel McInerney, Pieter Kempeneers, Magdalene Marron, Ronald E. McRoberts:
Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 78: 130-137 (2019) - [j15]Pieter Kempeneers, Ondrej Pesek, Davide De Marchi, Pierre Soille:
pyjeo: A Python Package for the Analysis of Geospatial Data. ISPRS Int. J. Geo Inf. 8(10): 461 (2019) - [j14]Vasileios Syrris, Paul Hasenohr, Blagoj Delipetrev, Alexander Kotsev, Pieter Kempeneers, Pierre Soille:
Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery. Remote. Sens. 11(8): 907 (2019) - 2018
- [j13]Pierre Soille, A. Burger, D. De Marchi, Pieter Kempeneers, D. Rodriguez, Vassilis Syrris, V. Vasilev:
A versatile data-intensive computing platform for information retrieval from big geospatial data. Future Gener. Comput. Syst. 81: 30-40 (2018) - 2017
- [j12]Birgen Haest, Jeroen Vanden Borre, Toon Spanhove, Guy Thoonen, Stephanie Delalieux, Lammert Kooistra, Caspar A. Mücher, Desiré Paelinckx, Paul Scheunders, Pieter Kempeneers:
Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. Remote. Sens. 9(3): 266 (2017) - 2016
- [j11]Pieter Kempeneers, Fernando Sedano, Isabelle Piccard, Herman Eerens:
Data Assimilation of PROBA-V 100 and 300 m. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 3314-3325 (2016) - 2015
- [c8]Frieke M. B. Van Coillie, Wenzhi Liao, Pieter Kempeneers, Kris Vandekerkhove, Sidharta Gautama, Wilfried Philips, Robert R. De Wulf:
Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies. WHISPERS 2015: 1-4 - 2014
- [j10]Fernando Sedano, Pieter Kempeneers, George C. Hurtt:
A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images. Remote. Sens. 6(12): 12381-12408 (2014) - [c7]Jan-Pieter Jacobs, Guy Thoonen, Devis Tuia, Gustavo Camps-Valls, Pieter Kempeneers, Paul Scheunders:
Spectral adaptation of hyperspectral flight lines using VHR contextual information. IGARSS 2014: 2953-2956 - 2013
- [j9]Fernando Sedano, Pieter Kempeneers, Jesús San Miguel, Peter Strobl, Peter Vogt:
Towards a pan-European burnt scar mapping methodology based on single date medium resolution optical remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 20: 52-59 (2013) - [j8]Pieter Kempeneers, Luc Bertels, Kristin Vreys, Jan Biesemans:
Geometric Errors of Remote Sensing Images Over Forest and Their Propagation to Bidirectional Studies. IEEE Geosci. Remote. Sens. Lett. 10(6): 1459-1463 (2013) - [j7]Pieter Kempeneers, Daniel McInerney, Fernando Sedano, Javier Gallego, Peter Strobl, Simon Kay, Kari T. Korhonen, Jesús San-Miguel-Ayanz:
Accuracy Assessment of a Remote Sensing-Based, Pan-European Forest Cover Map Using Multi-Country National Forest Inventory Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 54-65 (2013) - [c6]Pieter Kempeneers, Kris Vandekerkhove, Flore R. Devriendt, Frieke Van Coillie:
Propagation of shadow effects on typical remote sensing applications in forestry. WHISPERS 2013: 1-5 - 2012
- [j6]Fernando Sedano, Pieter Kempeneers, Peter Strobl, Daniel O. McInerney, Jesús San Miguel:
Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe. Remote. Sens. 4(3): 726-744 (2012) - [j5]Pieter Kempeneers, Fernando Sedano, Peter Strobl, Daniel O. McInerney, Jesús San-Miguel-Ayanz:
Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps. IEEE Trans. Geosci. Remote. Sens. 50(9): 3327-3339 (2012) - 2011
- [j4]Pieter Kempeneers, Fernando Sedano, Lucia Maria Seebach, Peter Strobl, Jesús San-Miguel-Ayanz:
Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping. IEEE Trans. Geosci. Remote. Sens. 49(12): 4977-4986 (2011) - 2010
- [j3]Jonathan Cheung-Wai Chan, Jianglin Ma, Pieter Kempeneers, Frank Canters:
Superresolution Enhancement of Hyperspectral CHRIS/Proba Images With a Thin-Plate Spline Nonrigid Transform Model. IEEE Trans. Geosci. Remote. Sens. 48(6): 2569-2579 (2010)
2000 – 2009
- 2008
- [c5]Jonathan Cheung-Wai Chan, Jianglin Ma, Pieter Kempeneers, Frank Canters, Jeroen Vanden Borre, Desiré Paelinckx:
An Evaluation of Ecotope Classification using Superresolution Images Derived from Chris/Proba Data. IGARSS (3) 2008: 322-325 - [c4]Guy Thoonen, Steve De Backer, Sam Provoost, Pieter Kempeneers, Paul Scheunders:
Spatial Classification of Hyperspectral Data of Dune Vegetation along the Belgian Coast. IGARSS (3) 2008: 483-486 - 2005
- [j2]Steve De Backer, Pieter Kempeneers, Walter Debruyn, Paul Scheunders:
A band selection technique for spectral classification. IEEE Geosci. Remote. Sens. Lett. 2(3): 319-323 (2005) - [j1]Pieter Kempeneers, Steve De Backer, Walter Debruyn, Pol Coppin, Paul Scheunders:
Generic wavelet-based hyperspectral classification applied to vegetation stress detection. IEEE Trans. Geosci. Remote. Sens. 43(3): 610-614 (2005) - [c3]Pieter Kempeneers, Sindy Sterckx, Walter Debruyn, Steve De Backer, Paul Scheunders, Youngje Park, Kevin Ruddick:
Retrieval of oceanic constituents from ocean color using simulated annealing. IGARSS 2005: 5651-5654 - 2004
- [c2]Steve De Backer, Pieter Kempeneers, Walter Debruyn, Paul Scheunders:
Classification of Dune Vegetation from Remotely Sensed Hyperspectral Images. ICIAR (2) 2004: 497-503 - [c1]Pieter Kempeneers, Bart Deronde, Luc Bertels, Walter Debruyn, Steve De Backer, Paul Scheunders:
Classifying hyperspectral airborne imagery for vegetation survey along coastlines. IGARSS 2004: 1475-1478
Coauthor Index
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