5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-02-08T17:31:41
UK GEMINI
2.3
EU NUTS Regions
Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)
2016-07-11
publication
https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
doi:
Tanguy, M., Bachmair, S., Stahl, K., Hannaford, J. (2016). Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015). NERC Environmental Information Data Centre 10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators: - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index); - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature); - the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together. Full details about this dataset can be found at https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
Tanguy, M.
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
pointOfContact
Tanguy, M.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-1516-6834
ORCID record
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.
information
author
Bachmair, S.
Albert-Ludwigs-University of Freiburg
enquiries@ceh.ac.uk
author
Stahl, K.
Albert-Ludwigs-University of Freiburg
enquiries@ceh.ac.uk
author
Hannaford, J.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-5256-3310
ORCID record
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.
information
author
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
owner
Meteorological geographical features
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
otherRestrictions
no limitations
otherRestrictions
This resource is made available under the terms of the Open Government Licence
otherRestrictions
© UK Centre for Ecology & Hydrology
otherRestrictions
If you reuse this data, you should cite: Tanguy, M., Bachmair, S., Stahl, K., Hannaford, J. (2016). Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015). NERC Environmental Information Data Centre https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
textTable
English
utf8
environment
2000-01-01
2015-12-31
-15
45
30
75
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://catalogue.ceh.ac.uk/datastore/eidchub/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
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
2010-12-08
Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values. NOTE: there are two types of "No Data" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.