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Scientific Papers

Published work has link to DOI, work under review will be updated with the DOI if/when accepted.

NO2 Concentration Estimation at Urban Ground Level by Integrating Sentinel 5P Data and ERA5 Using Machine Learning: The Milan (Italy) Case Study
Estimates ground-level nitrogen dioxide in Milan by combining satellite observations with meteorological data through advanced machine learning models.
Validation of Low-Cost and Personal PM2.5 Sensors for Exposure Assessment – A Comparison Across Different Commuting Modes
Evaluates the accuracy of portable air quality sensors during various types of daily travel to improve personal pollutant exposure monitoring.
Published Harnessing open remote sensing data and machine learning for daily round-level ozone prediction models: Spatio-temporal insights in the continental biogeographical region
Develops high-resolution daily ozone prediction models using open-source satellite data to provide better spatio-temporal environmental insights.
Estimating Ground-Level NO2 Concentrations Using Machine Learning Exclusively with Remote Sensing and ERA5 Data: The Mexico City Case Study
Demonstrates a method to monitor urban pollution using only remote data sources, validated in the complex atmospheric environment of Mexico City.
Comparing the accuracy of 3D urban olive tree models detected by smartphone using LiDAR sensor, photogrammetry and NeRF: a case study of ’Ascolana Tenera’ in Italy
Tests modern 3D reconstruction techniques, including smartphone LiDAR and NeRF, to create high-fidelity digital twins of urban vegetation.
Augmented Reality for Air Quality Monitoring: Case Study in the Marche Region (Italy)
Introduces an Augmented Reality framework to help the public visualize and understand invisible air pollution data in real-time.
AI4EO hyperview challenge: combination of machine learning methods on hyperspectral images to predict the soil parameters
Explores advanced Earth Observation AI to determine soil characteristics from complex hyperspectral imagery.

A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy
Creates a detailed temperature map of Tuscany by fusing localized sensor data with large-scale satellite information.

Integration of Satellite, Models and Ground Sensors for City-scale Air Quality Monitoring through the Open Data Cube
Utilizes Open Data Cube technology to provide an integrated architecture for monitoring urban air quality across multiple data levels.
The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: A multi-country time-series study in 439 cities
Analyzes how combined environmental and climatic factors influenced the spread of COVID-19 in urban centers globally.
Image-Based Estimation of Ambient Particulate Matter: A Scoping Review
Provides a comprehensive review of emerging technologies that use photography and image analysis to estimate air pollution levels.

 

Conferences

Daily Ground-Level O3 Prediction Models for The Continental Biogeographical Region using Open Remote Sensing Data and Machine Learning: A Case Study for the Veneto Region
  • Conference: ISPRS Mid-term Symposium “Beyond the canopy”
  • Location/Year: Belem, Brasil (2024)
  • Author: Luka Mamic (UNIPD)
  • URL: View Article
Monitoring Soybeans and Ozone Relationship with TROPOMI Solar-Induced Fluorescence
  • Conference: EARSeL Prague / Living Planet Symposium 2025
  • Location/Year: Prague / Vienna (2025)
  • Author: Luka Mamic (UNIPD)
  • Note: Presented as poster regarding mechanisms of ozone effects on plant stress.
Comparing the performance of different PM2.5 monitoring devices
  • Conference: Atlanta Epidemiology
  • Location/Year: Atlanta, USA (2025)
  • Author: Denise Feurer (UNIPD)
Applications of Open Standards, IoT, Crowdsourcing, & Intelligent Systems for Smart Cities Governance & Digital Twin Implementation
  • Conference: ISPRS Geospatial Week 2025
  • Location/Year: Dubai, UAE (2025)
  • Authors: A. Moazzam, D. Oxoli, R. Cedeno, M. Brovelli (POLIMI)
  • URL: Project Link
Integration of Satellite, Models and Ground Sensors for City-scale Air Quality Monitoring through the Open Data Cube
Augmented Reality for Air Quality Monitoring: Case Study in the Marche Region (Italy)
  • Conference: ISPRS TC IV Mid-term Symposium “Spatial Information to Empower the Metaverse”
  • Location/Year: Perth, Australia (2024)
  • Authors: Marsia Sanità, Roberto Pierdicca, Eva Savina Malinverni et al. (UNIVPM)
  • DOI: 10.5194/isprs-archives-XLVIII-4-2024-389-2024

 

 

Public Engagement

Hackathons

01/04/2024 Arduino in the Park - Villa Bolasco   (UNIPD)
01/07/2024 GeoAI Challenge (ITU)   (POLIMI & UNIPD)
04/11/2025 Arduino in the City - Air Quality  (UNIPD)

Workshops & Tutorials

22/10/2024  Advancing Air Quality Research & Public Awareness   (POLIMI & UNIVPM)
2025 Video Tutorial GeoAIr: Data Cube Open Tutorial  (POLIMI)
2024 Smart Cities Governance & Digital Twin Implementation (POLIMI & UNIVPM)

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