README file for Erasmus+ KA2 3DTeLC project data: Drone imagery and Digital Surface Model (DSM) for the Black Ven coastal landslide, Lyme Regis, Dorset, southern UK. 

General Information:
1. Title of dataset.
Erasmus+ KA2 3DTeLC project data: Drone imagery and Digital Surface Model (DSM) for the Black Ven coastal landslide, Lyme Regis, Dorset, southern UK.

2. Date of deposit.
14 May 2019

3. PI / Author (or equivalent)
Dr. Malcolm Whitworth
(malcolm.whitworth@port.ac.uk)

4. Project 
Erasmus+ Key Action 2 funded project
2017-1-UK01-KA203-036719 
3DTeLC: Bringing the 3D-world into the classroom:a new approach to Teaching, Learning and Communicating the science 
of geohazards in terrestrial and marine environments. 

5. Funding information.
Erasmus+ Key Action 2 funded project
2017-1-UK01-KA203-036719 
3DTeLC: Bringing the 3D-world into the classroom:a new approach to Teaching, Learning and Communicating the science 
of geohazards in terrestrial and marine environments. 
https://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/2017-1-UK01-KA203-036719

6. Data collection information:
i) Date/time period of collection
20 March 2019

ii) Geographic location of collection (if applicable) 50.735477 -2.914450

Sharing & Access (only relevant if sharing data)
7. State licence(s) for use. CC-BY

8. Any restrictions. 
None

9. Request for Access contact (if applicable).
Dr. Malcolm Whitworth
(malcolm.whitworth@port.ac.uk)

10. Information on outputs/publications that cite or use the data.
Please cite funding: Funded by Erasmus+ Key Action 2. Project 2017-1-UK01-KA203-036719 
https://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/2017-1-UK01-KA203-036719

Data Overview:
11. List data files.
Ortho-mosaic of drone imagery: black_ven_transparent_mosaic_group1.tif (and black_ven_transparent_mosaic_group1.tfw and black_ven_transparent_mosaic_group1.prj)
Digital Elevation Model (DEM): black_ven_dsm.tif (and black_ven_dsm.tfw and black_ven_dsm.prj)

12. Explain any relationships between files.
The two files are spatially related and will overlay within any Geographical Information System (GIS). 

13. For each file:
i) Description of content
Ortho-mosaic of drone imagery is a colour mosaic of 250 separate aerial images taken from a fixed wing drone along the coastal section between Lyme Regis and Charmouth, Dorset, south UK. 
The image mosaic ad Digital Surface Model (DSM) were created from the separate drone photos a Structure from Motion approach. The data is geo-referenced to  Global Coordinate System GCS WGS 1984 or EPSG 4326  
The files are georeferenced TIFF format (Geotiff). 

Digital Elevation Model (DEM) is derived from the drone imagery using a Structure from Motion approach and comprises a raster grid of height measurements across the same area of coastline 
between Lyme Regis and Charmouth, Dorset, south UK.The data is geo-referenced to Global Coordinate System GCS WGS 1984 or EPSG 4326.The files are georeferenced TIFF format (Geotiff).

ii) If not embedded within the file(s) provide variable metadata, missing data data definitions etc.
iii) Details of any specialised formats or abbreviations
The files are georeferenced TIFF format (Geotiff) with file extension .tif. 

Methodological Information:
14. Link to methodology description / or brief description of method.
200 separate aerial photographs were acquired from an airborne fixed wing drone flying. 
These images were mosaicked using a Structure from Motion (SfM) approach using Agisoft PhotoScan software version 1.4 
and a Digital Surface Model (DSM) was created during in the SfM process. 

15. Describe any quality assurance procedures.
 Both sets of data have been visually checked for both quality and spatial location accuracy using Google Earth and other datasets. 

16. Any specific information required to interpret/use use the data e.g. specific instrumentation/software information.
The imagery and DSM can be viewed and processed using any Geographical Information System (GIS) or satellite/raster image analysis or processing software.