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Pieter Kempeneers
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2020 – today
- 2023
- [j19]Pieter Kempeneers
, Martin Claverie
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
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
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
pyjeo: A Python Package for the Analysis of Geospatial Data. ISPRS Int. J. Geo Inf. 8(10): 461 (2019) - [j14]Vasileios Syrris
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 versatile data-intensive computing platform for information retrieval from big geospatial data. Future Gener. Comput. Syst. 81: 30-40 (2018) - 2017
- [j12]Birgen Haest
Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. Remote. Sens. 9(3): 266 (2017) - 2016
- [j11]Pieter Kempeneers
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
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
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
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
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
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
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
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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