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Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019
Data 22 Dec 2020The dataset consists of a collection of annual soil moisture (SM) anomalies during the vegetation growing season (GS) for the years 2000-2019 across EEA 38 area and the United Kingdom. The vegetation growing season is defined by EEA´s phenology data series "Vegetation growing season length 2000-2016" [https://www.eea.europa.eu/data-and-maps/data/annual-above-ground-vegetation-season]. The anomalies are calculated based on the European Commission's Joint Research Centre European Drought Observatory (EDO) Soil Moisture Index (SMI) with respect to the 1995–2019 base period. The yearly start and end of GS periods are dynamic and calculated according to the EEA Phenology Indicators. A positive anomaly indicates that the observed SM was wetter than the long-term SM average for the base period, while a negative anomaly indicates that the observed SM was drier than the reference value. Because SM anomalies are measured in units of standard deviation from the long-term SMI average, they can be used to compare annual deficits/surplus of SM between geographic regions. EDO is one of the early warning and monitoring systems of the Copernicus Emergency Management Service. As the dataset builds on EDO's SMI, it therefore contains modified Copernicus Emergency Management Service information (2019).
Landscape fragmentation Effective Mesh Density time-series: major and medium anthropogenic fragmenting elements (FGA2-S)
Data 16 Dec 2019The datasets below correspond to a new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the years 2009, 2012 and 2015. This time-series uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities. The geographic coverage of the datasets is EEA39.
The imperviousness products capture the percentage and change of soil sealing. Sealed/Impervious areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. The imperviousness HRL captures the spatial distribution of artificially sealed areas, including the level of sealing of the soil per area unit. The level of sealed soil (imperviousness degree 1-100%) is produced using a semi-automated classification, based on calibrated NDVI. Imperviousness data is available for the reference years 2006, 2009, 2012, 2015, and 2018, and contains two types of products: 1. Status layers Imperviousness Density (IMD) The percentage of sealed area is mapped for each status layer for any of the 5 reference years (e.g. degree of Imperviousness 2012). The status layers are available in 10m spatial resolution (2018), 20m spatial resolution (2006-2015), and as aggregated 100m products. Impervious Built-up (IBU) This product shows built-up areas, the part of the sealed surfaces where buildings can be found. Built-up areas are a sub-group of the sealed areas. It refers to areas where above-ground building constructions can be found. In contrast to the Imperviousness characterized by a continuous range of imperviousness measurements, built-up in the HRL 2018 is a binary product, expressed as built-up or non-built-up areas. This product is new for the 2018 mapping campaign and is available in 10 meter resolution, as well as a 100 meter aggregated version called Share of Built-up (SBU) 2. Change layers Two types of change products are available for each of the 3-year periods between the 5 reference years (2006-2009, 2009-2012, 2012-2015, 2015-2018), and in addition, for the period 2006-2012 (that is in line with the 6-year period between two Corine Land Cover products): a) A simple layer mapping the percentage of sealing increase or decrease for those pixels that show real sealing change in the period covered. This product is available in 20m and 100m pixel size. b) A classified change product that maps the most relevant categories of sealing change (unchanged no sealing, new cover, loss of cover, unchanged sealed, increased sealing, decreased sealing). This product is available in 20m pixel size only.
Climate quality index: Structural analysis 1961-1990
Featured indicator
Monitoring the pressure from soil moisture deficits can warn of potential impacts on plant development and soil health, supporting the assessment of drought-tolerant, resilient and vulnerable ...
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For references, please go to https://www.eea.europa.eu/themes/soil/dc or scan the QR code.
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