BGS Hosted Metadata
Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)
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
Simple
- Date (Publication)
- 2016-07-11
- Citation identifier
- https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
- Citation identifier
- doi: / 10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e
- Other citation details
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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
- Point of contact
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Organisation name Individual name Electronic mail address Role UK Centre for Ecology & Hydrology Tanguy, M.
Point of contact Centre for Ecology & Hydrology Tanguy, M. Author Albert-Ludwigs-University of Freiburg Bachmair, S.
Author Albert-Ludwigs-University of Freiburg Stahl, K.
Author Centre for Ecology & Hydrology Hannaford, J. Author NERC Environmental Information Data Centre Publisher NERC EDS Environmental Information Data Centre Custodian UK Centre for Ecology & Hydrology Owner
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GEMET - INSPIRE themes, version 1.0
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Meteorological geographical features
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
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© UK Centre for Ecology & Hydrology
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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
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Begin date
- 2000-01-01
- End date
- 2015-12-31
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- Unique resource identifier
- EU NUTS Regions
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e.zip Supporting information
- Hierarchy level
- Dataset
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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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.
Metadata
- File identifier
- 5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T09:37:19
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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