Calogero Schillaci

Reducing Topdressing N Fertilization with Variable Rates Does Not Reduce Maize Yield

Marco Acutis, Alessia Perego, Calogero Schillaci, 2021, Sustainability.

EX-TRACT: An excel tool for the estimation of standard deviations from published articles

Marco Acutis, Andrea Di Guardo, Alessia Perego, 2021, Environ. Model. Softw..

Soil erosion modelling: A global review and statistical analysis

Panos Panagos, Cristiano Ballabio, Michael Märker, 2021, The Science of the total environment.

Predicting non-residential building fire risk using geospatial information and convolutional neural networks

Aldo Lipani, Calogero Schillaci, Jake Anderson-Bell, 2021, Remote Sensing Applications: Society and Environment.

A simple pipeline for the assessment of legacy soil datasets: An example and test with soil organic carbon from a highly variable area

Fosco M. Vesely, Sergio Saia, M. Acutis, 2019, CATENA.

Terrain analysis and landform recognition

Calogero Schillaci, C. Schillaci, A. Braun, 2015 .

Modelling of Soil Organic Carbon in the Mediterranean area: a systematic map

Sergio Saia, M. Acutis, Calogero Schillaci, 2018, Rendiconti Online della Società Geologica Italiana.

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

Michael Märker, Riccardo Salvini, Calogero Schillaci, 2016 .

Comparison between geostatistical and machine learning models as predictors of topsoil organic carbon with a focus on local uncertainty estimation

Fabio Veronesi, Calogero Schillaci, C. Schillaci, 2019, Ecological Indicators.

Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks

P. Martin Mai, Raphael Huser, Luigi Lombardo, 2017, 1708.03859.