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Jan Pišl
Jan Pišl
PhD student, ECEO lab at EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Demonstration of large area forest volume and primary production estimation approach based on Sentinel-2 imagery and process based ecosystem modelling
J Miettinen, S Carlier, L Häme, A Mäkelä, F Minunno, J Penttilä, J Pisl, ...
International Journal of Remote Sensing 42 (24), 9467-9489, 2021
122021
Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks
J Pisl, H Li, S Lautenbach, B Herfort, A Zipf
AGILE: GIScience Series 2, 39, 2021
52021
Classification of Tropical Deforestation Drivers with Machine Learning and Satellite Image Time Series
J Pisl, LH Hughes, M Rußwurm, D Tuia
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
22023
Mapping drivers of tropical forest loss with satellite image time series and machine learning
J Pisl, M Rußwurm, L Hughes, G Lenczner, L See, JD Wegner, D Tuia
Environmental Research Letters, 2024
2024
Automatic detection of human settlements in rural Sub-Saharan Africa from satellite imagery with convolutional neural networks and OpenStreetMap
J Pisl
2021
Database Output Storage Support in PyWPS Framework
J Pišl
Czech Technical University in Prague, 2018
2018
ECEO
C Chappuis, PR Creusot, E Dalsasso, VAG Gabeff, L Hughes, ...
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