Generating Accurate De-Noising Vectors for Sentinel-1: 10 Years of Continuous Improvements

The Copernicus Programme is a joint European initiative developed by the European Commission (EC) and the European Space Agency (ESA) to provide accurate, up-to-date, and comprehensive Earth observation data for environmental monitoring, climate change analysis, disaster management, and security. The Copernicus program comprises a series of dedicated satellite missions, i.e., the Sentinels spanning a wide range of the electromagnetic spectrum with different sensing techniques. Sentinel-1 is the radar imaging component of Copernicus. It is a two-satellite constellation placed in the same orbit and spaced 180° apart. The all-weather, day-and-night images of Earth’s surface are systematically provided by Sentinel-1 to the Copernicus service component and to scientific users. The Sentinel-1 SAR data are suitable for interferometric and radiometric applications, whose performance depends on the thermal noise level in the data. The paper provides a comprehensive overview of the activities spanning 10 years, focused on properly measuring, characterizing, and removing the thermal noise from S-1 data.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2025-10-17
DOI
https://doi.org/10.3390/rs17203474
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generating Accurate De-Noising Vectors for Sentinel-1: 10 Years of Continuous Improvements

Beatrice Mai, Niccolò Franceschi, Laura Fioretti, Muriel Pinheiro et al.
Remote Sensing
Soil Moisture and Remote Sensing
article

Generating Accurate De-Noising Vectors for Sentinel-1: 10 Years of Continuous Improvements

Beatrice Mai, Niccolò Franceschi, Laura Fioretti, Muriel Pinheiro, Pauline Vincent, Antonio Valentino, Andrea Recchia, Riccardo Piantanida, Nuno Miranda, Martin Steinisch, Guillaume Hajduch
article en

Abstract

The Copernicus Programme is a joint European initiative developed by the European Commission (EC) and the European Space Agency (ESA) to provide accurate, up-to-date, and comprehensive Earth observation data for environmental monitoring, climate change analysis, disaster management, and security. The Copernicus program comprises a series of dedicated satellite missions, i.e., the Sentinels spanning a wide range of the electromagnetic spectrum with different sensing techniques. Sentinel-1 is the radar imaging component of Copernicus. It is a two-satellite constellation placed in the same orbit and spaced 180° apart. The all-weather, day-and-night images of Earth’s surface are systematically provided by Sentinel-1 to the Copernicus service component and to scientific users. The Sentinel-1 SAR data are suitable for interferometric and radiometric applications, whose performance depends on the thermal noise level in the data. The paper provides a comprehensive overview of the activities spanning 10 years, focused on properly measuring, characterizing, and removing the thermal noise from S-1 data.

Remote SensingVol. 17(20)
SAES Group (Italy) (IT), Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical Physics (IT), University of Campania "Luigi Vanvitelli" (IT), Centre d'Investigation Clinique Pierre Drouin (FR), European Space Research Institute (IT)
Openalex Percentile: Top 73%
Soil Moisture and Remote Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generating Accurate De-Noising Vectors for Sentinel-1: 10 Years of Continuous Improvements — Beatrice Mai, Niccolò Franceschi, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS