Peer reviewed papers (2020)
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Spatio-temporal assessment of beech growth in relation to climate extremes in Slovenia – An integrated approach using remote sensing and tree-ring data
Agricultural and Forest Meteorology (2020), Volume: 287 - ISSN 0168-1923 -
Concept Discovery for The Interpretation of Landscape Scenicness
Machine Learning and Knowledge Extraction (2020), Volume: 2, Issue: 4 - ISSN 2504-4990 - p. 397-413. -
Machine learning for research on climate change adaptation policy integration: an exploratory UK case study
Regional Environmental Change (2020), Volume: 20, Issue: 3 - ISSN 1436-3798 -
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
International Journal of Geographical Information Science (2020), Volume: 34, Issue: 6 - ISSN 1365-8816 - p. 1117-1136. -
Automated crop plant counting from very high-resolution aerial imagery
Precision Agriculture (2020), Volume: 21 - ISSN 1385-2256 - p. 1366-1384. -
Global-scale characterization of turning points in arid and semi-arid ecosystem functioning
Global Ecology and Biogeography (2020), Volume: 29, Issue: 7 - ISSN 1466-822X - p. 1230-1245. -
Biomass and crop height estimation of different crops using UAV-based LiDAR
Remote Sensing (2020), Volume: 12, Issue: 1 - ISSN 2072-4292 -
Blockchain Applications in the Agri-Food Domain: The First Wave
Frontiers in Blockchain (2020), Volume: 3 - ISSN 2624-7852 -
Near-real time aboveground carbon emissions in Peru
PLoS ONE (2020), Volume: 15, Issue: 11 - ISSN 1932-6203 -
RSVQA: Visual Question Answering for Remote Sensing Data
IEEE Transactions on Geoscience and Remote Sensing (2020), Volume: 58, Issue: 12 - ISSN 0196-2892 - p. 8555-8566.