TerraSAR-X Imaging for Unsepervised Land Cover Classification and Fire Mapping. - Alessandro Burini; Cosimo Putignano; Fabio Del Frate; Michele Lazzarini; Giorgio Licciardi; Giovanni Schiavon; Domenico Solimini; Francesco De Biasi; Paolo Manunta (IGARSS (3), 2008)

Hyperspectral image enhancement using thermal bands: A methodology to remove building shadows. - Michele Lazzarini; Jian Guo Liu 005; Fabio Del Frate (IGARSS, 2010)

Automatic Generation of Building Temperature Maps From Hyperspectral Data. - Michele Lazzarini; Fabio Del Frate; Giulio Ceriola (IEEE Geosci. Remote. Sens. Lett., 2011)

Land cover and Land Surface Temperature interactions in desert areas: A case study of Abu Dhabi (UAE). - Michele Lazzarini; Prashanth Reddy Marpu; Hosni Ghedira (IGARSS, 2012)

Assimilation of Earth Observation Variables and In Situ Measurements in a Surface Energy Balance Model: A Case Study of a Desert City Area. - Michele Lazzarini; Hosni Ghedira (IEEE Geosci. Remote. Sens. Lett., 2014)

Toward a Near Real-Time Product of Air Temperature Maps from Satellite Data and In Situ Measurements in Arid Environments. - Michele Lazzarini; Prashanth Reddy Marpu; Yehia Eissa; Hosni Ghedira (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

The BigDataEurope Platform - Supporting the Variety Dimension of Big Data. - Sören Auer; Simon Scerri; Aad Versteden; Erika Pauwels; Angelos Charalambidis; Stasinos Konstantopoulos; Jens Lehmann 001; Hajira Jabeen; Ivan Ermilov; Gezim Sejdiu; Andreas Ikonomopoulos; Spyros Andronopoulos; et al. (ICWE, 2017)

GeoSensor: On-line Scalable Change and Event Detection over Big Data. - Giorgos Argyriou; George Papadakis 001; George Stamoulis 001; Efi Karra Taniskidou; Nikiforos Pittaras; George Giannakopoulos; Sergio Albani; Michele Lazzarini; Emanuele Angiuli; Anca Popescu; Argyros Argyridis; Manolis Koubarakis (WWW (Companion Volume), 2018)

Enabling FAIR Research in Earth Science through Research Objects. - Andrés García-Silva; José Manuél Gómez-Pérez; Raúl Palma; Marcin Krystek; Simone Mantovani; Federica Foglini; Valentina Grande; Francesco De Leo; Stefano Salvi; Elisa Trasatti; Vito Romaniello; Mirko Albani; et al. (CoRR, 2018)

Enabling FAIR research in Earth Science through research objects. - Andrés García-Silva; José Manuél Gómez-Pérez; Raúl Palma; Marcin Krystek; Simone Mantovani; Federica Foglini; Valentina Grande; Francesco De Leo; Stefano Salvi; Elisa Trasatti; Vito Romaniello; Mirko Albani; et al. (Future Gener. Comput. Syst., 2019)

Deep Learning with Open Data for Desert Road Mapping. - Christopher Stewart; Michele Lazzarini; Adrian Luna; Sergio Albani (Remote. Sens., 2020)

Assessment of the Capability to Monitor Oil Inventories During the COVID-19 Pandemic by Using Sentinel-1 Data. - Omar Barrilero; Michele Lazzarini; Adrian Luna; Paula Saameño; Sergio Albani; Andrea Patrono (IGARSS, 2021)

New Scenarios Shaping a Digital Twin Earth for Security. - Sergio Albani; Michele Lazzarini; Paula Saameño; Adrian Luna; Omar Barrilero (IGARSS, 2022)

Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. - Antonis Troumpoukis; Iraklis A. Klampanos; Despina-Athanasia Pantazi; Eleni Tsalapati; Mohanad Albughdadi; Mihai Alexe; Vasileios Baousis; Omar Barrilero; Bryce Billière; Alexandra Bojor; Pedro Branco 002; Lorenzo Bruzzone; et al. (BigDataService, 2023)

Integration of EO and Ancillary Data for a Climate Security Scenario: The Sahel Case Study. - Sergio Albani; Adrian Luna; Michele Lazzarini; Nora Baselovic; Omar Barrilero; Paula Saameño; Maria Madrid; Andrea Patrono (IGARSS, 2023)

Development of A Methodology to Calculate an SDG Indicator Relevant for Security Applications Using EO Data. - Michele Lazzarini; Omar Barrilero; Paula Saameño; Miguel Angel Belenguer-Plomer; Ines Mendes; Sergio Albani (IGARSS, 2024)

Climate Security: A Comprehensive Approach from R&I to Operations. - Alessandra Ussorio; Sergio Albani; Michele Lazzarini; Gema Maza; Roberta Onori; Yannick Arnaud; Andrea Patrono (IGARSS, 2024)

European AI and EO convergence via a novel community-driven framework for data-intensive innovation. - Antonis Troumpoukis; Iraklis A. Klampanos; Despina-Athanasia Pantazi; Mohanad Albughdadi; Vasileios Baousis; Omar Barrilero; Alexandra Bojor; Pedro Branco 002; Lorenzo Bruzzone; Andreina Chietera; Philippe Fournand; Richard Hall; et al. (Future Gener. Comput. Syst., 2024)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)