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Antonio Novelli

dblp:171/3864 · DBLP profile ↗
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6ranked-venue papers
2as first author
1since 2021 · last 2026
0000-0002-5671-9220ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 6 · 2 first-author · 1 since 2021

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. IEEE12
2018 Static and Kinematic Surveys Using GNSS Multi-constellation Receivers and GPS, GLONASS and Galileo Data
Raffaela Cefalo, Antonio Novelli, Tatiana Sluga, Paolo Snider, Eufemia Tarantino, Agostino Tommasi
ICCSA (5)2
2017 C_AssesSeg Concurrent Computing Version of AssesSeg: A Benchmark Between the New and Previous Version
Antonio Novelli, Manuel A. Aguilar, Fernando J. Aguilar, Abderrahim Nemmaoui, Eufemia Tarantino
ICCSA (4)1
2017 Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products
Giuseppe Peschechera, Antonio Novelli, Grazia Caradonna, Umberto Fratino
ICCSA (4)2
2017 The Use of Geomorphological Descriptors and Landsat-8 Spectral Indices Data for Flood Areas Evaluation: A Case Study of Lato River Basin
Vincenzo Totaro, Andrea Gioia, Antonio Novelli, Grazia Caradonna
ICCSA (4)3
2016 Improving the ANN Classification Accuracy of Landsat Data Through Spectral Indices and Linear Transformations (PCA and TCT) Aimed at LU/LC Monitoring of a River Basin
Antonio Novelli, Eufemia Tarantino, Grazia Caradonna, Ciro Apollonio, Gabriella Balacco, Ferruccio Piccinni
ICCSA (2)1