Hyperspectral plastics dataset supplementary to the paper ‘Advancing floating plastic detection from space using hyperspectral imagery’
Datacite citation style:
WUR Data Librarian; van Emmerik, Tim; Louise Schreyers; Lauren Biermann; Joseph Peller (2021): Hyperspectral plastics dataset supplementary to the paper ‘Advancing floating plastic detection from space using hyperspectral imagery’. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/14518278.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This database is the supplementary material of Tasseron et al., (2021): Advancing floating plastic detection from space using hyperspectral imagery.
More information about the contents of this dataset can be found in the enclosed readme - userguide file.
More information about the contents of this dataset can be found in the enclosed readme - userguide file.
history
- 2021-05-25 first online
- 2021-05-26 published, posted
publisher
4TU.ResearchData
format
Zipped hyperspectral image database of virgin plastics (three levels of detail) and raw riverbank-harvested macrolitter imagery.
associated peer-reviewed publication
Advancing floating plastic detection from space using hyperspectral imagery
organizations
Hydrology and Quantitative Water Management Group, Wageningen University and Research
DATA
files (4)
- 3,086 bytesMD5:
137772cac481035ac7e210905f5f3341
readme - user guide.txt - 17,006,301,369 bytesMD5:
87377a57655bf2909ec7a81559eb7d6f
hyperspectral_database.zip - 99,210 bytesMD5:
78b477d7f0d0d8afb46244a7956d0772
Rhine_sample.ipynb - 48,528 bytesMD5:
385339a5f7e5a848d4ca7efffb2005bd
SampledLitter_SchoneRivieren_17112020.xlsx -
download all files (zip)
17,006,452,193 bytes unzipped