Tanguy, M.; Bachmair, S.; Stahl, K.; Hannaford, J.

Gridded drought indices based on remote sensing data for Europe (2000-2015)

Name: Gridded drought indices based on remote sensing data for Europe (2000-2015)
Published: 2016-07-11

https://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b Cite this dataset

This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are:
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, calculated using MODIS products

Publication date: 2016-07-11

Format

netCDF

Spatial information

Study area
Spatial representation type: Raster
Spatial reference system: WGS 84

Temporal information

Temporal extent: 2000-01-01 to 2015-12-31

Provenance & quality

Three gridded drought indicators based on remote sensing were calculated for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators 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. For NDVI, MODIS product MOD13C2 was used, and for LST, MODIS product MOD11C3 was used. VCI, TCI and VHI were derived using methodology described by Kogan (Kogan, F.N., 1995; https://doi.org/10.1016/0273-1177(95)00079-T)

Citations

Bachmair, S., Tanguy, Hannaford, J., Stahl, K., (2018). How well do meteorological indicators represent agricultural and forest drought across Europe? Environmental Research Letters, 13 , 3 https://doi.org/10.1088/1748-9326/aaafda

Supplemental information

Kogan, F. N. (1995). Application of vegetation index and brightness temperature for drought detection. In Advances in Space Research (Vol. 15, Issue 11, pp. 91–100). Elsevier BV.

https://doi.org/10.1016/0273-1177(95)00079-T

Correspondence/contact details

Tanguy, M.

UK Centre for Ecology & Hydrology

McLean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM

enquiries@ceh.ac.uk

Authors

Tanguy, M.

Centre for Ecology & Hydrology

https://orcid.org/0000-0002-1516-6834

Bachmair, S.

Albert-Ludwigs-University of Freiburg

Stahl, K.

Albert-Ludwigs-University of Freiburg

Hannaford, J.

Centre for Ecology & Hydrology

https://orcid.org/0000-0002-5256-3310

Other contacts

Rights holder: UK Centre for Ecology & Hydrology
Custodian: NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher: NERC Environmental Information Data Centre
info@eidc.ac.uk

Additional metadata

Topic categories: environment
INSPIRE theme: Meteorological geographical features
Keywords: DrIVER , drought , Environmental risk , Land Surface Temperature , LST , moderate-resolution imaging spectroradiometer , MODIS , monitoring and early warning system , NDVI , Normalised Difference Vegetation Index , TCI , Temperature Condition Index , VCI , Vegetation Condition Index , Vegetation Health Index , VHI
Last updated: 08 February 2024 17:26

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