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Fabio Veronesi
Fabio Veronesi
Senior Data Scientist, Rezatec
Verified email at rezatec.com - Homepage
Title
Cited by
Cited by
Year
Comparison between geostatistical and machine learning models as predictors of topsoil organic carbon with a focus on local uncertainty estimation
F Veronesi, C Schillaci
Ecological Indicators 101, 1032-1044, 2019
872019
Estimation of the global solar energy potential and photovoltaic cost with the use of open data
A Korfiati, C Gkonos, F Veronesi, A Gaki, S Grassi, R Schenkel, ...
International Journal of Sustainable Energy Planning and Management 9, 17-30, 2016
652016
Statistical learning approach for wind resource assessment
F Veronesi, S Grassi, M Raubal
Renewable and Sustainable Energy Reviews 56, 836-850, 2016
572016
Mapping soil compaction in 3D with depth functions
F Veronesi, R Corstanje, T Mayr
Soil and Tillage Research 124, 111-118, 2012
562012
Landscape scale estimation of soil carbon stock using 3D modelling
F Veronesi, R Corstanje, T Mayr
Science of the total environment 487, 578-586, 2014
542014
Automatic selection of weights for GIS-based multicriteria decision analysis: site selection of transmission towers as a case study
F Veronesi, J Schito, S Grassi, M Raubal
Applied geography 83, 78-85, 2017
512017
Online hate interpretation varies by country, but more by individual: A statistical analysis using crowdsourced ratings
J Salminen, F Veronesi, H Almerekhi, SG Jung, BJ Jansen
2018 fifth international conference on social networks analysis, management …, 2018
492018
New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems
C Schillaci, A Perego, E Valkama, M Märker, S Saia, F Veronesi, A Lipani, ...
Science of the total environment 780, 146609, 2021
372021
A geostatistical analysis of soil properties in the Davis Pond Mississippi freshwater diversion
F Kral, R Corstanje, JR White, F Veronesi
Soil Science Society of America Journal 76 (3), 1107-1118, 2012
322012
Random Forest with semantic tie points for classifying landforms and creating rigorous shaded relief representations
F Veronesi, L Hurni
Geomorphology 224, 152-160, 2014
312014
A GIS tool to increase the visual quality of relief shading by automatically changing the light direction
F Veronesi, L Hurni
Computers & Geosciences 74, 121-127, 2015
292015
A comparative analysis of the precipitation extremes obtained from tropical rainfall‐measuring mission satellite and rain gauges datasets over a semiarid region
M Mahbod, A Shirvani, F Veronesi
International Journal of Climatology 39 (1), 495-515, 2019
272019
Phylogenetic clustering of wingbeat frequency and flight‐associated morphometrics across insect orders
MPTG Tercel, F Veronesi, TW Pope
Physiological Entomology 43 (2), 149-157, 2018
262018
Changing the light azimuth in shaded relief representation by clustering aspect
F Veronesi, L Hurni
The Cartographic Journal 51 (4), 291-300, 2014
232014
Assessing accuracy and geographical transferability of machine learning algorithms for wind speed modelling
F Veronesi, A Korfiati, R Buffat, M Raubal
Societal Geo-innovation: Selected papers of the 20th AGILE conference on …, 2017
182017
Mapping of the global wind energy potential using open source GIS data
S Grassi, F Veronesi, R Schenkel, C Peier, J Neukom, S Volkwein, ...
Proceedings of the 2nd International Conference on Energy and Environment …, 2015
182015
Legacy effects override soil properties for CO2 and N2O but not CH4 emissions following digestate application to soil
MC Rosace, F Veronesi, S Briggs, LM Cardenas, S Jeffery
GCB Bioenergy 12 (6), 445-457, 2020
152020
An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran
M Mahbod, F Veronesi, A Shirvani
International Journal of Remote Sensing 40 (11), 4143-4174, 2019
132019
Comparison of hourly and daily wind speed observations for the computation of Weibull parameters and power output
F Veronesi, S Grassi
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 1-6, 2015
112015
Statistical learning approach for wind speed distribution mapping: the UK as a case study
F Veronesi, S Grassi, M Raubal, L Hurni
AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities …, 2015
82015
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