Calogero Schillaci
Calogero Schillaci
JRC European Commission
Verified email at - Homepage
Cited by
Cited by
Soil erosion modelling: A global review and statistical analysis
P Borrelli, C Alewell, P Alvarez, JAA Anache, J Baartman, C Ballabio, ...
Science of The Total Environment, 146494, 2021
Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing …
C Schillaci, M Acutis, L Lombardo, A Lipani, M Fantappie, M Märker, ...
Science of The Total Environment 601, 821-832, 2017
Soil erosion modelling: A bibliometric analysis
N Bezak, M Mikoš, P Borrelli, C Alewell, P Alvarez, JAA Anache, ...
Environmental Research, 111087, 2021
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
Can conservation agriculture increase soil carbon sequestration? A modelling approach
E Valkama, G Kunypiyaeva, R Zhapayev, M Karabayev, E Zhusupbekov, ...
Geoderma 369, 114298, 2020
Terrain analysis and landform recognition
C Schillaci, A Braun, J Kropacek
British Society for Geomorphology; London, UK. ISSN: 2047-0371., 2015
Field Crop Responses and Management Strategies to Mitigate Soil Salinity in Modern Agriculture: A Review
HM Alkharabsheh, MF Seleiman, OA Hewedy, ML Battaglia, RS Jalal, ...
Agronomy 11 (11), 2299, 2021
Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region
C Schillaci, L Lombardo, S Saia, M Fantappiè, M Märker, M Acutis
Geoderma 286, 35-45, 2017
Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks
L Lombardo, S Saia, C Schillaci, PM Mai, R Huser
Geoderma 318, 148-159, 2018
Turnover and availability of soil organic carbon under different Mediterranean land‐uses as estimated by 13C natural abundance
A Novara, L Gristina, Y Kuzyakov, C Schillaci, VA Laudicina, T La Mantia
European journal of soil science 64 (4), 466-475, 2013
Agro-environmental aspects of conservation agriculture compared to conventional systems: A 3-year experience on 20 farms in the Po valley (Northern Italy)
A Perego, A Rocca, V Cattivelli, V Tabaglio, A Fiorini, S Barbieri, ...
Agricultural Systems 168, 73-87, 2019
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
Precision farming and IoT case studies across the world
G Fastellini, C Schillaci
Agricultural Internet of Things and Decision Support for Precision Smart …, 2020
A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
M Cama, C Schillaci, J Kropáček, V Hochschild, A Bosino, M Märker
Geosciences 10 (7), 248, 2020
Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices
T James, C Schillaci, A Lipani
International Journal of Remote Sensing 42 (14), 5338-5365, 2021
Assessment of gully erosion in the Upper Awash, Central Ethiopian highlands based on a comparison of archived aerial photographs and very high resolution satellite images
J Kropacek, C Schillaci, R Salvini, M Marker
Calibration and Validation of AQUACROP and APSIM Models to Optimize Wheat Yield and Water Saving in Arid Regions
A Kheir, HM Alkharabsheh, MF Seleiman, AM Al-Saif, KA Ammar, A Attia, ...
Land 10 (12), 1375, 2021
Modelling of Soil Organic Carbon in the Mediterranean area: a systematic map
C Schillaci, S Saia, M Acutis
Rend. Online Soc. Geol. Ital 46, 161-166, 2018
Predicting non-residential building fire risk using geospatial information and convolutional neural networks
J Anderson-Bell, C Schillaci, A Lipani
Remote Sensing Applications: Society and Environment 21, 100470, 2021
A simple pipeline for the assessment of legacy soil datasets: An example and test with soil organic carbon from a highly variable area
C Schillaci, M Acutis, F Vesely, S Saia
CATENA 175, 110-122, 2019
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