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Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

Publisher
British Geological Survey (BGS)
Updated
28 August 2026
Topic
Not set
Licence
Not set

Summary

The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a data-driven approach for mineral prospectivity mapping of Fe-Mn crusts that should be used in conjunction with other expert-driven prospectivity analysis to guide the assessment of Fe-Mn crust coverage in the world ocean and potential mineral exploration. The raster contains values between 0.07 and 0.92. Any values outside of that range (e.g., 0) are outside of the model prediction and should not be displayed. To reproduce data as displayed in the forthcoming associated publication, it is recommended to apply a 'Percent Clip' stretched 'Viridis' colour scheme.

Data links

Link Format Preview Updated
Citation Information - Digital Object Identifier (DOI) 28/8/2026
Data 28/8/2026

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Additional information

Source Metadata
XML, HTML
Date added
28 August 2026
Harvest GUID
eaec2401-f090-18e7-e053-0937940aa3f2
Dataset reference date (creation)
2022-09-28
Frequency of update
notPlanned
Access constraints
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Responsible party
British Geological Survey (distributor, originator, pointOfContact)
ISO 19139 resource type
nonGeographicDataset
Metadata language
eng

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