
Here you find a library of spectral curves/signatures (from Sentinel-2) of several classes, developed under H2020 LABPLAS project. The library is designed to support the development of models for the detection of marine plastics in Sentinel-2 satelite images. The library includes spectral signatures of floating marine plastic (from artifical plastic targets and pollution events), as well as other features (e.g. clouds, marine water, foam/spume filaments, breaking-waves, turbid waters, aquaculture structures, phytoplankton blooms). In the H2020 LABPLAS project, the present library was used in conjunction with a publicly-available library called MARIDA. The present library is fully compatible with MARIDA, and therefore both libraries (this and MARIDA) can be easily merged. Hence, the present library adds additional spectral signatures to MARIDA, creating a larger and more comprehensive library for the satellite detection of marine plastics in Sentinel-2. The reflectances are Rayleigh-corrected reflectance (Rrc), which was done with ACOLITE processor on the original L1C Sentinel-2 data (as in MARIDA). The total number of spectral curves is 115,410.
Remote Sensing, Marine Plastics, Satellite Data, Earth Observation, Sentinel-2, Marine Debris, Marine Litter
Remote Sensing, Marine Plastics, Satellite Data, Earth Observation, Sentinel-2, Marine Debris, Marine Litter
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
