- Title
- Groundwater recharge capacity
- License
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International (CC BY-NC-ND 4.0)
-
+ Copy and redistribute the material in any medium or format.
+ You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+ You may not use the material for commercial purposes.
+ If you remix, transform, or build upon the material, you may not distribute the modified material.
+ You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ For more info see https://creativecommons.org/licenses/by-nc-nd/4.0/. - Abstract
Groundwater recharge capacity was assessed with different types of data such as lithology, geomorphology, topography (slope inclination, topographic position index, topographic wetness index, roughness index, curvature index, drainage density, linement density) soil (texture, depth, permeability), average annual precipitation and land use (Corine land cover). Data was reclassified and ranked according to the least to the most favorable conditions to weathering, using a likert scale. Subseq...
- Publication Date
- Aug. 5, 2019, 11:07 a.m.
- Type
- Raster Data
- Keywords
- Groundwater
- Category
- Provisioning ES
- Provisioning ES
- Regions
- Lithuania
- Owner
- Geoadmin
- Maintenance Frequency
- Data Is Updated As Deemed Necessary
- Restrictions
- Data can be accessed on-line.
- Language
- English
- Data Quality
- The data used to assess this service is from: Lithology, geomorphology, and linement: Lithuanian geological survey Water lines: Lithuanian cadastre Glacial retreat: Stroeven et al. (2016) Digital Elevation model (25 m) from: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1 Soil data: Lucas topsoil data (https://esdac.jrc.ec.europa.eu/content/lucas-2009-topsoil-data), Orgiazzi et al. (2018) and Panagos et al. (2012). Corine land cover 2018 (https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012) Precipitation data: Lithuanian hydrometereological survey. References: Orgiazzi, A., Ballabio, C., Panagos, P., Jones, A., Fernández-Ugalde, O. (2018) LUCAS Soil, the largest expandable soil dataset for Europe: A review. European Journal of Soil Science, 69(1): 140-153, Panagos P., Van Liedekerke M., Jones A., Montanarella L., “European Soil Data Centre: Response to European policy support and public data requirements”; (2012) Land Use Policy, 29 (2), pp. 329-338.
- Supplemental Information
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
Comments (0 total)
Log in to add a comment