Literature DB >> 32267735

Exo-Ocean Exploration with Deep-Sea Sensor and Platform Technologies.

J Aguzzi1,2, M M Flexas3, S Flögel4, C Lo Iacono1,5, M Tangherlini2, C Costa6, S Marini2,7, N Bahamon1,8, S Martini9, E Fanelli2,10, R Danovaro2,10, S Stefanni2, L Thomsen11, G Riccobene12, M Hildebrandt13, I Masmitja14, J Del Rio14, E B Clark15, A Branch15, P Weiss16, A T Klesh15, M P Schodlok15.   

Abstract

One of Saturn's largest moons, Enceladus, possesses a vast extraterrestrial ocean (i.e., exo-ocean) that is increasingly becoming the hotspot of future research initiatives dedicated to the exploration of putative life. Here, a new bio-exploration concept design for Enceladus' exo-ocean is proposed, focusing on the potential presence of organisms across a wide range of sizes (i.e., from uni- to multicellular and animal-like), according to state-of-the-art sensor and robotic platform technologies used in terrestrial deep-sea research. In particular, we focus on combined direct and indirect life-detection capabilities, based on optoacoustic imaging and passive acoustics, as well as molecular approaches. Such biologically oriented sampling can be accompanied by concomitant geochemical and oceanographic measurements to provide data relevant to exo-ocean exploration and understanding. Finally, we describe how this multidisciplinary monitoring approach is currently enabled in terrestrial oceans through cabled (fixed) observatories and their related mobile multiparametric platforms (i.e., Autonomous Underwater and Remotely Operated Vehicles, as well as crawlers, rovers, and biomimetic robots) and how their modified design can be used for exo-ocean exploration.

Entities:  

Keywords:  Autonomous underwater vehicles; Crawlers; Cryobots. Astrobiology 20, 897–915; Deep-sea technology; Enceladus; Exo-ocean

Mesh:

Year:  2020        PMID: 32267735     DOI: 10.1089/ast.2019.2129

Source DB:  PubMed          Journal:  Astrobiology        ISSN: 1557-8070            Impact factor:   4.335


  2 in total

1.  Advantages in Using Colour Calibration for Orthophoto Reconstruction.

Authors:  Francesco Tocci; Simone Figorilli; Simone Vasta; Simona Violino; Federico Pallottino; Luciano Ortenzi; Corrado Costa
Journal:  Sensors (Basel)       Date:  2022-08-29       Impact factor: 3.847

2.  A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring.

Authors:  Jacopo Aguzzi; Jan Albiez; Sascha Flögel; Olav Rune Godø; Endre Grimsbø; Simone Marini; Olaf Pfannkuche; Erik Rodriguez; Laurenz Thomsen; Terje Torkelsen; Javier Valencia; Vanesa López-Vázquez; Henning Wehde; Guosong Zhang
Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

  2 in total

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