Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Michele Caccia

dblp:35/10426 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%
Computer networks
1 paper
Vehicular, aerial and satellite networks · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics
remote sensing
1.012026
BIOMASS: ESA's P-Band SAR Mission · Proc. IEEE 2026
Environmental and earth informatics › remote sensing
synthetic aperture radar
1.012026
BIOMASS: ESA's P-Band SAR Mission · Proc. IEEE 2026

Methods — techniques the papers use, named apart from their topics

interferometry · 2.0SAR processing · 2.0
YearPublicationVenuePosition
2026 BIOMASS: ESA's P-Band SAR Mission
abstract
The European Space Agency's (ESA) BIOMASS mission is a pioneering Earth observation satellite mission launched on April 29, 2025. Utilizing a P-band synthetic aperture radar (SAR), the objective of BIOMASS is to deliver estimates of above-ground forest biomass, forest height (FH), and forest disturbance (FD), with unprecedented accuracy. The mission's primary scientific goal is to quantify the distribution and changes in forest biomass, thereby reducing uncertainties in carbon flux estimates and informing climate models. The satellite's advanced instrumentation and innovative approach allow it to penetrate dense forest canopies, capturing data even in challenging environments. The mission will operate in two distinct phases: the tomographic phase and the interferometric phase, which will support polarimetric interferometric SAR (Pol-InSAR) and tomographic SAR (TomoSAR) processing. Additionally, BIOMASS will provide valuable observational data for ice sheets, deserts, the ionosphere, below canopy topography, and other domains.
Klaus Scipal, Clement Albinet, Michele Caccia, Adriano Carbone, Nuno Carvalhais, Jérôme Chave, Jørgen Dall, Michael Fehringer, Antonio Leanza, Thuy Le Toan, Maktar Malik, Antonio Novelli, Philippe Paillou, Konstantinos Papathanassiou, Janice Patterson, Muriel Pinheiro, Shaun Quegan, Markus Reichstein, Björn Rommen, Sassan Saatchi, Herman H. Shugart, Tristan Simon, Stefano Tebaldini, Lars M. H. Ulander, Antonio Valentino, Philip Willemsen, Mathew Williams
Proc. IEEE3
2011 Automatic classification of gestures: a context-dependent approach
Mario Refice, Michelina Savino, Michele Caccia, Michele Adduci
FedCSIS3
2011 A Supervised Approach to Support the Analysis and the Classification of Non Verbal Humans Communications
Vitoantonio Bevilacqua, Marco Suma, Dario D'Ambruoso, Giovanni Mandolino, Michele Caccia, Simone Tucci, Emanuela De Tommaso, Giuseppe Mastronardi
ICIC (1)5