24 citations · 90 across the 43 of their papers we have counts for
8 papers · 1 filter
Multitemporal analysis in Google Earth Engine for detecting urban changes using optical data and machine learning algorithms
Mariapia Rita Iandolo, Francesca Razzano, Chiara Zarro +2
The aim of this work is to perform a multitemporal analysis using the Google Earth Engine (GEE) platform for the detection of changes in urban areas using optical data and specific…
Integration of Sentinel-1 and Sentinel-2 data for Earth surface classification using Machine Learning algorithms implemented on Google Earth Engine
Francesca Razzano, Mariapia Rita Iandolo, Chiara Zarro +2
In this study, Synthetic Aperture Radar (SAR) and optical data are both considered for Earth surface classification. Specifically, the integration of Sentinel-1 (S-1) and Sentinel-…
Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting
Francesco Mauro, Luigi Russo, Fjoralba Janku +2
This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5…
Analysis of COVID-19 first wave in the US based on demographic, mobility, and environmental variables
Dario Spiller, Gabriele Santin, Alessandro Sebastianelli +6
COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary st…
Classification Schemes for the Radar Reference Window: Design and Comparisons
Chaoran Yin, Linjie Yan, Chengpeng Hao +4
In this paper, we address the problem of classifying data within the radar reference window in terms of statistical properties. Specifically, we partition these data into statistic…
A Machine Learning Approach to Long-Term Drought Prediction using Normalized Difference Indices Computed on a Spatiotemporal Dataset
Veronica Wairimu Muriga, Benjamin Rich, Francesco Mauro +2
Climate change and increases in drought conditions affect the lives of many and are closely tied to global agricultural output and livestock production. This research presents a no…
SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis
Francesco Mauro, Benjamin Rich, Veronica Wairimu Muriga +2
Climate change has caused disruption in certain weather patterns, leading to extreme weather events like flooding and drought in different parts of the world. In this paper, we pro…
Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems
Pia Addabbo, Nicomino Fiscante, Gaetano Giunta +3
Hyperspectral target detection is a task of primary importance in remote sensing since it allows identification, location, and discrimination of target features. To this end, the r…