Date (Creation)

2025-06-11

Citation identifier

http://data.bgs.ac.uk/id/dataHolding/13608432

Point of contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Originator
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Originator
British Geological Survey	Enquiries	not available	Distributor
British Geological Survey	Enquiries	not available	Point of contact

Maintenance and update frequency

notApplicable

GEMET - INSPIRE themes, version 1.0

• Geology

BGS Thesaurus of Geosciences

• NGDC Deposited Data

• data.gov.uk (non-INSPIRE)

• Citable Data

dataCentre

• data.gov.uk (non-INSPIRE)
• Citable Data
• NGDC Deposited Data

Keywords

• NERC_DDC

Access constraints

Other restrictions

Other constraints

restricted

Other constraints

The dataset has been formally approved by BGS for access by external clients under a BGS Digital Data Licence, issued via BGS's IPR Section. The dataset must not be provided to, or be accessible by, an external client until the IPR Section confirms that signed licence documentation is in place. Refer to the IPR Section (DigitalLE@bgs.ac.) if further advice is required.. Constraint applies until 2025-12-01

Use constraints

Other restrictions

Other 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.

Other constraints

Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Spatial representation type

Vector

Language

English

Topic category

• Geoscientific information

Begin date

2022

End date

2023

Unique resource identifier

WGS 84 (EPSG::4326)

Distribution format

Name	Version
ESRI Shapefile (.shp)

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	enquiries@bgs.ac.uk	Distributor

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	not available	Distributor

OnLine resource

Protocol	Linkage	Name
	https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item188804	Data

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.5285/d751a1c8-1f07-4f6d-98ca-3b5f86a8d1fd	Digital Object Identifier (DOI)

Hierarchy level

Dataset

Other

dataset

Statement

The inventory has been generated using satellite images, terrain information, and labelled examples of landslides to train a convolutional neural network (U-Net), for the purpose of adding previously undocumented and new landslides to inventories. This model segments the input images and highlights the pixels it labels as landslides. We have trained the model with two types of movements (slides and flows) under different triggers (earthquakes and rainfall), so that the model is exposed to a variety of training data. The model has been trained and tested on Sentinel-2 images at 10m resolution, so user should consider that landslides with size in the order of <0.01 km2 might be too small to be detected or can be falsely classified as landslides. Also, the model has been trained mainly on two specific types of movements – slides and flows – so other types of events (falls, topples) might be not reported. The Türkiye dataset was not used during the training process; these landslides represent out-of-sample results.

Metadata

File identifier

38ef54df-3915-e0cf-e063-3050940ab7c7 XML

Metadata language

English

Hierarchy level

Dataset

Date stamp

2025-07-13

Metadata standard name

UK GEMINI

Metadata standard version

2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey		enquiries@bgs.ac.uk	Point of contact

Dataset URI

http://data.bgs.ac.uk/id/dataHolding/13608432