In this study, we present a framework for seagrass habitat mapping in shallow (5–50 m) and very shallow water (0–5 m) by combining acoustic, optical data and Object-based Image classification. The combination of satellite multispectral images-acquired from 2017 to 2019, together with Unmanned Aerial Vehicle (UAV) photomosaic maps, high-resolution multibeam bathymetry/backscatter and underwater photogrammetry data, provided insights on the short-term characterization and distribution of Posidonia oceanica (L.) Delile, 1813 meadows in the Calabrian Tyrrhenian Sea. We used a supervised Object-based Image Analysis (OBIA) processing and classification technique to create a high-resolution thematic distribution map of P. oceanica meadows from multibeam bathymetry, backscatter data, drone photogrammetry and multispectral images that can be used as a model for classification of marine and coastal areas. As a part of this work, within the SIC CARLIT project, a field application was carried out in a Site of Community Importance (SCI) on Cirella Island in Calabria (Italy); different multiscale mapping techniques have been performed and integrated: the optical and acoustic data were processed and classified by different OBIA algorithms, i.e., k-Nearest Neighbors’ algorithm (k-NN), Random Tree algorithm (RT) and Decision Tree algorithm (DT). These acoustic and optical data combinations were shown to be a reliable tool to obtain high-resolution thematic maps for the preliminary characterization of seagrass habitats. These thematic maps can be used for time-lapse comparisons aimed to quantify changes in seabed coverage, such as those caused by anthropogenic impacts (e.g., trawl fishing activities and boat anchoring) to assess the blue carbon sinks and might be useful for future seagrass habitats conservation strategies.

Coastal zones are subjected to a wide range of phenomena acting on very different temporal and spatial scales: from decades to days and from hundreds of kilometers to tens of meters. Planning the management of such areas, thus, requires an accurate and updated knowledge of the ongoing processes. While standard monitoring activities are functional for the medium-long time scale and medium-large spatial scale, they struggle to provide adequate information concerning the short period (i.e., days) and small range (i.e., few meters). In addition, such operations are affected by high costs and logistic complexity since they generally involve the deployment of specific aircraft or maritime vehicles. On the contrary, the employment of robotic devices can represent a solution to these issues. Their proper use can allow for frequent surveys and enhance the coverage of the acquired data due to optimized mission strategies. Marine robotics has the potential to arise as an efficient complementary tool to standard monitoring techniques. Nevertheless, the use of marine robots is still limited and should be improved. The purpose of this paper is to discuss the current state of robotic technology, identifying both the benefits and shortcomings of its use for micro-tidal marine-coastal monitoring. The discussion will be supported by actual results, taken as an example, achieved using FeelHippo AUV, the compact Autonomous Underwater Vehicle (AUV) developed by the Department of Industrial Engineering at the University of Florence, Italy.

In 2007 the Italian Ministry of Education identified the need of raising a new Humanism: students must receive adequate tools for knowledge, but must also understand and be able to handle the increasingly frequent transitions and changes they have to face as citizens and individuals. Orientation during the developmental phase must, hence, allow students to acquire all those key and context-independent competences, necessary for self-assessment of natural attitudes. Nevertheless, the label “new Humanism”, should not be the first step for giving even less importance to scientific education: there is no need to enhance the existing general lack of interest affecting Science, Technology, Engineering, and Mathematics (STEM) disciplines and literature; moreover, the social importance of scientific and technological research can't remain undervalued. All these issues are a matter of concern for the European Community and, in fact, the last European Directives concerning education and social development, are trying to redirect and enforce educational programmes towards a “knowledge-based society and economy” that will support the societal challenges of the 21 ^st century and the growing demand of scientific expertise in all sectors (necessary for boosting European economic development). The most interesting strategies for implementing these directives are all those activities that see a wide partnership of schools with public institutions, enterprises and research centres (e.g. science festivals, competitions and internships for high school students). Recent studies, and the same recommendations of the European Community, have also shown that these activities, when included since the earliest years of primary schools, have a deeper impact in the long term as they match with the evolutive period in which intrinsic motivation is strongly present. This study is, hence, aimed to build an instrument able for understanding if all these kind of activities are effective in increasing: (1) appreciation and interest towards scientific research and (2) number of young people considering a STEM career as a possible perspective for their future (the question is: `does Science make our hearts beat faster?').

Leaf biometrics are important parameters of seagrasses measured in coastal marine environment-monitoring programs. This study tested the application of several image analysis software packages to the biometry of Posidonia oceanica and Cymodocea nodosa leaves as an alternative to the commonly used manual technique. The biometrics of leaves and epiphytes measured using Image-Pro Plus image analysis software were significantly different from measures made with the manual technique; this was a reflection of the precision of the digital measurements related to the application of “best fit” measures to the shape of the leaves. Among the advantages of the digital method, we found enhanced precision and, presumably, higher accuracy in measurement, faster time of execution, availability of a wide range of free software for image analysis, the permanence of a photographic record, the ability to create data bases to compare new samples with older ones, and the possibility of analysing different morphometric variables on the same sample after a long period of time.