| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 05007 | |
| Number of page(s) | 3 | |
| Section | Lidar Techniques and Observations Related to Ocean Properties, Biosphere, and Ecosystems | |
| DOI | https://doi.org/10.1051/epjconf/202636205007 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636205007
Assessing the Ocean Color observation capability of the CALIGOLA mission: The PROTEO project
(a) Institute of Marine Sciences, Italian National Research Council (ISMAR-CNR), 00133 Rome, Italy
(b) School of Engineering, University of Basilicata, 85100 Potenza, Italy
(c) Italian Space Agency (ASI), 00133 Rome, Italy Lead Author e-mail address: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
Recently, the use of space-borne atmospheric lidar measurements for the study of ocean color has provided insight into the relevance of the information provided by the lidar technique in this field. The Cloud and Aerosol Lidar for Global Scale Observations of the Ocean-Land-Atmosphere System (CALIGOLA) space mission, conceived by the Italian Space Agency (ASI), will be the first space lidar mission with a focus also on oceanic observation. Within this frame, the PeRfOrmance simulaTor for ocEan Observations (PROTEO) project aims at supporting the CALIGOLA mission by consolidating and extending the scientific and application aspects of the mission, quantitatively assessing its ocean observation capabilities. The core activity of the project is the development of an end-to-end Lidar Performance Simulator (E2E-LPS) for OC measurements with the objective of assessing the specifics of CALIGOLA lidar system and estimating the expected OC performances. An overview of PROTEO is here presented.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.