File:Project SEACleaner. Raising awareness on our global impacts on nature.jpg
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[edit]DescriptionProject SEACleaner. Raising awareness on our global impacts on nature.jpg |
English: Students collecting and classifying anthropogenic marine debris on the beach of the Natural Regional Park of Migliarino, San Rossore, Massaciuccoli (Tuscany, Italy).
English: Nowadays, the urgent need of long-term data series for solving environment related problems (such as biodiversity loss, beach litter etc.) can be satisfied by the so-called "citizen science",i.e. involvement of citizens and their active participation in scientific projects. This kind of scientific research, partly o wholly conducted by amateur or nonprofessional scientists, has been demonstrated in several studies to be effective both from the scientific and social point of view, since it brings people closer to STEM (Science, Technology, Engineering and Math) disciplines, fills the gap between who produces science and technology and who benefits from it. Nevertheless, motivating and enabling all these volunteers in a long-term commitment to a scientific problem represents an essential problem. Project SEACleaner is a perfect example on how this long-term commitment can be guaranteed trough a comprehensive educational path that involves (mainly 1° and 2° Grade) students, not only in data collection but also in problem definition and data analysis. Project SEACleaner tries to identify and implement effective approaches for improving STEM teaching and learning - for students from 4 to 18 - by harmonising the existing educational plan, and prioritising hands-on learning to increase student engagement, interest, and achievement in the STEM fields. Project SEACleaner is a pilot project carried out in collaboration with Enterprises, Schools (ISA 2 “2 Giugno” in La Spezia) and Research Centres (such as the National Institute for Geophysics and Volcanology (INGV), the Institute of Marine Sciences of the National Research Council (CNR-ISMAR)) and other organisations such as the Liguria Cluster for Marine Technologies (DLTM). |
Date | |
Source | Own work |
Author | Marina Locritani |
Camera location | 43° 46′ 21.3″ N, 10° 16′ 11.7″ E ![]() | View this and other nearby images on: OpenStreetMap | ![]() |
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The coastline of the Natural Regional Park of Migliarino, San Rossore, Massaciuccoli (Tuscany, Italy) is characterised by a large sandy beach manly formed by sediments coming from River Arno. Sampling activities for Project SEACleaner have been carried out in the most restricted area of the park.
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This image was uploaded as part of Wiki Science Competition 2017. |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 16:05, 15 December 2017 | ![]() | 4,288 × 2,848 (3.85 MB) | Marina Locritani (talk | contribs) | User created page with UploadWizard |
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Camera manufacturer | NIKON CORPORATION |
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Camera model | NIKON D90 |
Exposure time | 1/125 sec (0.008) |
F-number | f/11 |
ISO speed rating | 200 |
Date and time of data generation | 12:00, 1 December 2015 |
Lens focal length | 55 mm |
Orientation | Normal |
Horizontal resolution | 300 dpi |
Vertical resolution | 300 dpi |
Software used | Ver.1.00 |
File change date and time | 12:00, 1 December 2015 |
Color space transformation matrix coefficients |
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Y and C positioning | Co-sited |
Exposure Program | Not defined |
Exif version | 2.21 |
Date and time of digitizing | 12:00, 1 December 2015 |
Meaning of each component |
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Image compression mode | 4 |
APEX exposure bias | 0 |
Maximum land aperture | 5 APEX (f/5.66) |
Metering mode | Pattern |
Light source | Unknown |
Flash | Flash did not fire, auto mode |
DateTime subseconds | 00 |
DateTimeOriginal subseconds | 00 |
DateTimeDigitized subseconds | 00 |
Supported Flashpix version | 1 |
Sensing method | One-chip color area sensor |
File source | Digital still camera |
Scene type | A directly photographed image |
Custom image processing | Normal process |
Exposure mode | Auto exposure |
White balance | Auto white balance |
Digital zoom ratio | 1 |
Focal length in 35 mm film | 82 mm |
Scene capture type | Standard |
Scene control | None |
Contrast | Normal |
Saturation | Normal |
Sharpness | Normal |
Subject distance range | Unknown |