Welkom op het expertplatform!
Dit platform verschaft informatie en kennis omtrent de WL expertisedomeinen 'hydraulica en sediment', 'havens en waterwegen', 'waterbouwkundige constructies', 'waterbeheer' en 'kustbescherming' - gaande van WL medewerkers met hun expertise, het curriculum van deze instelling, tot publicaties, projecten, data (op termijn) en evenementen waarin het WL betrokken is.
Het WL onderschrijft het belang van "open access" voor de ontsluiting van haar onderzoeksresultaten. Lees er meer over in ons openaccessbeleid.
Collaborative seabed-habitat mapping: Uncertainty in sediment data as an obstacle in harmonization
Van Heteren, S.v.H.; Van Lancker, V. (2015). Collaborative seabed-habitat mapping: Uncertainty in sediment data as an obstacle in harmonization, in: Diviacco, P. et al. Collaborative knowledge in scientific research networks. Advances in Knowledge Acquisition, Transfer, and Management (AKATM), : pp. 154-176. https://dx.doi.org/10.4018/978-1-4666-6567-5.ch008
In: Diviacco, P. et al. (Ed.) (2015). Collaborative knowledge in scientific research networks. IGI Global: Hershey. ISBN 978-1-4666-6567-5. 461 pp.
In: Advances in Knowledge Acquisition, Transfer, and Management (AKATM). IGI Global: Hershey. ISSN 2326-7607; e-ISSN 2326-7615
|
Auteurs | | Top |
- Van Heteren, S.v.H.
- Van Lancker, V.
|
|
|
Abstract |
This chapter discusses the uncertainties associated with sediment data, which are a commonly neglected obstacle in collaborative seabed-habitat mapping, complicating harmonization. Standardization of these data, although an important prerequisite in the harmonization of surrogate-based habitat maps, is not enough to achieve full map uniformity. Through time and between research institutes, data have been acquired, described, analyzed, and classified using a range of methods and protocols. The effects of dif- fering error margins and indicative meanings remain hidden for most end users in environmental science and policy. The interpolation required to generate full-coverage data products from sedimentological point data creates additional uncertainty. Finally, small-scale habitat heterogeneity not captured by even the densest sampling places limits on the usability of sediment-based surrogates as well. Despite these limitations, there is much room for improvement when it comes to using surrogates in habitat mapping. Multiple visualizations generated from merged digital sediment datasets with flexible querying protocols are especially promising. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.