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Datasets — Raster layers & Vector layers ​

Landmetric organizes data into two types: raster layers and vector layers. Raster data are the thematic data that inform on the health of ecosystems and agro-ecosystems. Vector data indicate the boundaries of administrative areas or protected areas – that can be used as area of interest for which you can analyze the thematic data.

Raster Layers ​

Screenshot: Themes & Datasets panel expanded, showing all six categories

Open the Themes & Datasets panel (top-right diamond icon) to browse layers by theme. Click a layer name to add it to the map, use the opacity slider to adjust transparency, and click the ⓘ icon next to any layer to open its full metadata page (title, timeframe, spatial resolution, and provider), sourced directly from our STAC catalog.

Ecosystem Extent ​

LayerResolutionPeriodDescription
Land Cover30 m2020–2024Annual pan-EU land cover classification
Land Cover10 m2020High-resolution land cover snapshot

Ecosystem Condition — Soil ​

LayerUnitResolutionPeriodDescription
Soil Organic Carbon Densitymg/cm³30 m2000–2022SOC mass per unit volume of soil
Soil Organic Carbon Contentg/kg30 m2000–2022SOC concentration by mass
Soil pH (in Water)—30 m2000–2022Soil reaction measured in water suspension
Bare Soil Fraction%30 m1997–2024Fraction of bare soil per pixel per year
Soil TypeUSDA class30 m2000–2022USDA soil texture classification
Soil Organic Carbon StocktC/ha100 m2007–2021Total organic carbon stock in topsoil

Ecosystem Condition — Vegetation ​

LayerUnitResolutionPeriodDescription
Net Primary ProductiongC/m²/month300 m2018–2025Carbon fixed by plants per unit area per month
Rain Use EfficiencygC/m²/mm30 m2020–2024NPP per mm of rainfall — drought resilience indicator
Short Vegetation Cover%30 m2000–2024Fraction of pixel covered by short vegetation
NDWI—30 m1997–2024Normalized Difference Water Index — vegetation water content
NDVI—30 m1997–2024Normalized Difference Vegetation Index — greenness proxy
Aboveground Biomass Carbon StocktC/ha100 m2007–2022Carbon stored in above-ground biomass
Belowground Biomass Carbon StocktC/ha100 m2007–2022Carbon stored in root biomass
Litter Carbon StocktC/ha100 m2007–2022Carbon in dead organic matter on the ground
Deadwood Carbon StocktC/ha100 m2007–2022Carbon in standing dead wood
Tree Density Cover%10 m2020Fraction of pixel covered by tree canopy

Ecosystem Condition — Water ​

LayerUnitResolutionPeriodDescription
Precipitationmm/month1000 m2000–2024Monthly total precipitation
Evaporation in Soil Surface and Water Bodiesmm/year300 m2018–2024Annual evaporation from soil and open water
Actual Evapotranspirationmm/year300 m2018–2024Annual actual ET (soil + canopy)
Irrigated Croplands—30 m2020–2024Binary mask of irrigated agricultural areas

Ecosystem Services ​

Other

LayerUnitResolutionPeriodDescription
Gross Dry Matter ProductivitygC/m²/day300 m2014–2023Daily dry matter production rate
Carbon StoragetC/ha100 m2007–2021Total carbon storage (above + below ground)

Livestock

LayerUnitResolutionPeriodDescription
Distribution of Horsesheadcount / km²1000 m2000–2022Gridded livestock density
Distribution of Buffaloesheadcount / km²1000 m2000–2022Gridded livestock density
Distribution of Cattleheadcount / km²1000 m2000–2022Gridded livestock density
Distribution of Goatsheadcount / km²1000 m2000–2022Gridded livestock density
Distribution of Sheepheadcount / km²1000 m2000–2022Gridded livestock density

Socio-Economic ​

LayerResolutionPeriodDescription
Characteristics of Built-Up Areas (2018)10 m2018Urban extent and built-up density
Real Gross Domestic Product100 m1992–2019PPP-$/km²/yr — gridded economic output
Gridded Human Development Index100 m1990–2015Composite HDI at grid level
Population Grid100 m2000–2025People per hectare

Scenarios ​

Projections under IPCC Representative Concentration Pathways:

LayerRCPsResolutionPeriodDescription
Projected Population Grid—100 m2030Future population density
Projected Precipitation2.6, 4.5, 8.51000 m2041-2080mm/month — future rainfall scenarios
Projected Near-Surface Air Temperature2.6, 4.5, 8.51000 m2041-2080°C/month — future temperature scenarios

RCP 2.6 = ambitious mitigation · RCP 4.5 = moderate · RCP 8.5 = high emissions

Risk ​

LayerResolutionPeriodDescription
Inundation Frequency30 m2011–2021% of time an area is flooded
Flood Exposure — SLR 2-yr Return Period90 m2018metres of sea-level rise exposure, 2-yr event
Flood Exposure — SLR 100-yr Return Period90 m2018metres of sea-level rise exposure, 100-yr event
Projected Flood Exposure — RCP 8.5, 2-yr90 m2050Future flood exposure under high emissions
Projected Flood Exposure — RCP 8.5, 100-yr90 m2050Future flood exposure under high emissions
Fire Frequency30 m2014-2024Annual count of fire events
Drought Risk5000 m1998-2025Based on longest dry period in the past

Vector Layers ​

Screenshot: Vector Layers panel expanded, showing all categories

Open the Vector Layers panel (top-right mountain icon) to toggle boundary and reference geometry on top of the raster data.

Administrative Boundaries (GAUL) ​

The Global Administrative Unit Layers from FAO provide three nesting levels:

LayerLevelDescription
CountriesLevel 0National borders
RegionsLevel 1States / provinces / NUTS-2 equivalents
DistrictsLevel 2Municipalities / counties / NUTS-3 equivalents

Use these to contextualize raster data within political boundaries — and remember, hovering over any region for ~3 seconds reveals its name (see Map & Navigation).

Protected Areas ​

LayerSourceDescription
World Database on Protected Areas (WDPA)UNEP-WCMC / IUCNGlobal inventory of marine and terrestrial protected areas

Cadastre Data (Experimental) ​

LayerCoverageNotes
DenmarkNationalDanish cadastral parcels
Brazil (SICAR)NationalBrazilian rural property registry
OthersVariableAdditional countries added as data becomes available

Experimental: Cadastre layers are experimental — boundaries may be incomplete or misaligned. Use for visual reference only.

Others ​

LayerSourceDescription
Validation areas for croplandWorldCerealReference sites used to validate cropland maps
Building FootprintOverture MapGlobal building footprint polygons

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