Chennu, Arjun; Polerecky, Lubos (2015): Sediment optical reflection captured with hyperspectral resolution under ambient sunlight in the intertidal zone on Sylt, Germany in 2010, with links to insitu maps in HDF5 format [dataset]. Max-Planck-Institut für Marine Mikrobiologie, PANGAEA, https://doi.org/10.1594/PANGAEA.843727
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Related to:
Chennu, Arjun; Färber, Paul; Volkenborn, Nils; Al-Najjar, Mohammad A A; Janssen, Felix; de Beer, Dirk; Polerecky, Lubos (2013): Hyperspectral imaging of the microscale distribution and dynamics of microphytobenthos in intertidal sediments. Limnology and Oceanography-Methods, 11(10), 511-528, https://doi.org/10.4319/lom.2013.11.511
Coverage:
Latitude: 55.025200 * Longitude: 8.436000
Date/Time Start: 2010-07-17T09:33:52 * Date/Time End: 2010-07-20T13:26:52
Minimum DEPTH, sediment/rock: 0 m * Maximum DEPTH, sediment/rock: 0 m
Event(s):
Comment:
The sediment was imaged using a Pika imager from Resonon Inc. The hyperspectral imagers are stored as datacubes in HDF5 format (http://www.hdfgroup.org/HDF5/), along with the acquisition metadata.
The dataset names indicate the benthic context of the acquisitions:
ambient - natural undisturbed sediment
worm - sediment recomposed in-situ which was defaunated, and then 4 lugworms (Arenicola marina) were introduced in the center of the plot
sed - sediment recomposed in-situ which was defaunated
The hypersub system was used to make acquisitions of the sediment surfaces about 5 weeks after the above sediment processing. The lateral width of the scans is approximately 80 cm.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DATE/TIME | Date/Time | Geocode | |||
2 | DEPTH, sediment/rock | Depth sed | m | Geocode | ||
3 | File name | File name | Chennu, Arjun | |||
4 | Uniform resource locator/link to file | URL file | Chennu, Arjun | Hyperspectral imaging | datacubes in HDF5 format | |
5 | File size | File size | kByte | Chennu, Arjun |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
39 data points