Identification

Title

High-resolution (2 metre) digital elevation models of landscape affected by the Chamoli ice-debris flow, India, February 2021

Abstract

These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis. Full details about this dataset can be found at https://doi.org/10.5285/5a1eaef4-9211-4227-a017-d20b08be5784

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/5a1eaef4-9211-4227-a017-d20b08be5784

description: Download a copy of this data

function: fileAccess

https://data-package.ceh.ac.uk/sd/5a1eaef4-9211-4227-a017-d20b08be5784.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/5a1eaef4-9211-4227-a017-d20b08be5784

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

elevation

Keywords

Geographic location

West bounding longitude

79.471

East bounding longitude

79.764

North bounding latitude

30.595

South bounding latitude

30.471

Temporal reference

Temporal extent

Begin position

2021-02-10

End position

2022-04-02

Dataset reference date

date type

publication

effective date

2023-10-25

Frequency of update

Quality and validity

Lineage

The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode on the dates provided in section 1.4 of the supporting documentation. To generate new DEMs at 2 m grid resolution we used a block matching algorithm implemented in the open-source NASA Ames Stereo Pipeline (version v2.6.2_post). We registered the new DEMs to an existing composite DEM dated to September 2015 using the demcoreg toolbox. We also clipped and re-aligned an existing post-event DEM dated 10 February 2021 to the same September 2015 DEM.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Westoby, M., Berthier, E. (2023). High-resolution (2 metre) digital elevation models of landscape affected by the Chamoli ice-debris flow, India, February 2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/5a1eaef4-9211-4227-a017-d20b08be5784

Responsible organisations

Responsible party

organisation name

email address

matt.westoby@plymouth.ac.uk

web address

https://orcid.org/0000-0002-2070-5580

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information