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Armenia: Probabilistic Seismic Hazard Assessment
This layer shows the Seismic hazard assessment of the area of the Republic of Armenia (RA) at the scale of 1:500,000. This map was prepared by the Consortium of AIR Worldwide... -
Caucasus: Tree Height Cover
This layer shows the canopy height (meters) of the Caucasus region, extracted from the NASA 3D Global Vegetation Map derived from ICESat/GLAS and environmental modeling. The... -
World: Mountain Coverage (Kapos_ Koerner_ Sayre)
This layer shows the matrix combining the three mountain coverages for comparative purposes and showing areas of agreement and disagreement between the three approaches. Data... -
World: Climatic Belt Subdivisions (Koerner et al. 2011)
This layer depicts the subdivision of the world into climatic belts following Koerner et al. (2011). Data obtained from the Ilias universität Bern... -
World: Mountain Coverage (Sayre et al. 2014)
Mountain coverages based on the the work by Sayre et al., 2014 (ELU = Ecological Land Units; LF = (physical) Land (surface) Features). Data obtained from the Ilias... -
World: Mountain Coverage (Koerner et al. 2011)
Mountain coverages based on the mountain and climatic belt definition by Koerner et al., 2011. Data obtained from the Ilias universität Bern... -
World: Mountain Coverage (Kapos et al. 2000)
Mountain coverages based on the mountain definition by Kapos et al., 2000 . Data obtained from the Ilias universität Bern... -
Caucasus Ecoregion: Global Forest Height (2019)
This layer shows the forest canopy height in the Caucasus Ecoregion. Global 30-m spatial resolution forest canopy height map developed through the integration of the Global... -
Caucasus: Population Density (2015)
This layers shows the population density in Caucasus as of 2015. Th uni is the number of people per 250 square meters. It was originally downloaded from the Global Human... -
Caucasus: Land Cover (2005)
This layers shows the Caucasus landcover as of 2005 and was originally downloaded from the European Space Agency (ESA) portal at https://www.esa-landcover-cci.org and... -
Caucasus: Land Cover (2000)
This layers shows the Caucasus landcover as of 2000 and was originally downloaded from the European Space Agency (ESA) portal at https://www.esa-landcover-cci.org and... -
Caucasus: Land Cover (2010)
This layers shows the Caucasus landcover as of 2010 and was originally downloaded from the European Space Agency (ESA) portal at https://www.esa-landcover-cci.org and... -
Clay (particles < 0.01 mm)
Date of mapping: 21-10-20Lab. method: Kachinsky N. AUnit: %Date of sampling: 1953-1967Mapping method: Quantile regression forestMean error: 0.4263RMSE: 3.9148Uncertainty map:... -
Silt (particles < 0.001 mm)
Date of mapping: 20-10-20Lab. method: Kachinsky N. AUnit: %Date of sampling: 1953-1967Mapping method: Quantile regression forestMean error: 0RMSE: 2.26Uncertainty map: half-... -
Sand (particles > 0.01 mm)
Date of mapping: 21-10-20Lab. method: Kachinsky N. AUnit: %Date of sampling: 1953-1967Mapping method: Quantile regression forest + IDW of residualsMean error: 0.4263RMSE:... -
Bulk density
Date of mapping: 21/10/20Lab. method: GravimetricUnit: t/m3Date of sampling: 1953-1967Mapping method: Quantile regression forestMean error: -1.00E-04RMSE: 7.00E-04Uncertainty... -
Humus (Organic matter)
Date of mapping: 16-10-20Lab. method: Wet oxidation (Tyurin)Unit: %Date of sampling: 2015-2019Mapping method: Quantile regression forestMean error: -0.02RMSE: 0.87Uncertainty... -
Cation exchange capacity, (sum of cations)
Date of mapping: 20.10.2020Lab. method: titrimetricUnit: meq/100 gDate of sampling: 1953-1967Mapping method: Quantile regression forestMean error: 0.1372RMSE: 1.1931Uncertainty... -
Soil pH
Date of mapping: 28-10-20Lab. method: electrometric in water extractUnit: -Date of sampling: 1953-2019Mapping method: Quantile regression forest + IDW of residualsMean error:... -
Mobile Phosphorus
Date of mapping: 17-10-20Lab. method: Machigin (GOST 26205-91)Unit: mg/100gDate of sampling: 2015-2019Mapping method: Quantile regression forestMean error: -0.13RMSE:...