MICKA Metadata catalogue search result

EVI index na pozemcich Rostenicke farmy
EVI index na pozemcich Rostenicke farmy dne 22.04.2020

FAO - Land Use Systems of the World data
Version 1.1 of a thematic grid of Land Use Systems (LUS) and its attributes with a spatial resolution of 5 arc minutes or 0.083333 decimal degrees. This dataset is developed in the framework of the LADA project (Land degradation Assessment in Drylands) by the Land Tenure and Management Unit of the Food and Agriculture Organization of the United Nations and is copyright of FAO/UNEP GEF. The LUS map implementation is based on a innovative methodology combining more than 10 global datasets. Due to the map generation method, the quality of the map can never be uniform. The overall quality of the map depends heavily on the individual quality of the data for the different countries.

GLOBAL OCEAN 1/12° PHYSICS ANALYSIS AND FORECAST UPDATED DAILY
Scientific Data

GLOBAL OCEAN BIOGEOCHEMISTRY ANALYSIS AND FORECAST
Scientific Data

GSOCmap Web Map Service
Global Soil Organic Carbon Map (GSOCmap)

Generalized Globalcover
Generalized Globalcover (Sieve filter by 4 px)

Geospatial datasets from The Regional Centre for Mapping of Resources for Development (RCMRD)

Global Soil Organic Carbon (GSOC) Map

Grid agricultural data
Grid agricultural data from year 2005

Grid livestock data
Grid livestock data from year 2005

Heilongjiang pilot (Pilot 9) OLU
OLU in Longjiang County of China

Hubei pilot (Pilot 8) OLU details details
OLU in Shenzhou City district of China

Human Development Index
Human Development Index in Africa. Data comes from Wikidata, originally from http://hdr.undp.org/en/data .

Jiangsu pilot
Comparison of generalized and merged version versus original version of OLU

Jiangsu pilot (Pilot 10) OLU
OLU in Luhe district of China

Land Use Systems of the World
Version 1.1 of a thematic grid of Land Use Systems (LUS) and its attributes with a spatial resolution of 5 arc minutes or 0.083333 decimal degrees. This dataset is developed in the framework of the LADA project (Land degradation Assessment in Drylands) by the Land Tenure and Management Unit of the Food and Agriculture Organization of the United Nations and is copyright of FAO/UNEP GEF. The LUS map implementation is based on a innovative methodology combining more than 10 global datasets.
Due to the map generation method, the quality of the map can never be uniform. The overall quality of the map depends heavily on the individual quality of the data for the different countries.

Land cover in Latvian municipalities according to CLC

Livestock structure in African countries
Livestock structure in African countries in 2005

Multidimensional Poverty Index (MPI)
Multidimensional Poverty Index. Data come from http://hdr.undp.org/en/data .

New OLU 4 Africa in Gambia and Senegal
Based on OSM and vectorized GlobalCover

Nominal GDP
Nominal GDP in Africa. Data taken from Wikidata, originally from data.worldbank.org .

Normalized Difference Vegetation Index (NDVI) in the areas of interest in Africa from Sentinel 2 imagery

OLU 4 Africa - CLC landcover

OLU 4 Africa in progress

OLU Africa in progress

OLUGlobalCoverInBatna
comparison of just OSM and OSM plus GlobalCover OLU features

OSM landuse data (Africa)
OSM dataset

Ocean Water Salinity
Ocean Water Salinity. Data from Copernicus Marine. Date is changable in layer's properties.

Open Land Use
Open Land-Use Map 4 Africa

Open Land Use_2021_06_09
Open Land Use for selected countries in Africa.

Pan-African dataset_version_2021_06_01_v2
Available Pan-African datasets

Population Density.
Population Density in Africa. Data come from Wikidata, originally from https://datacatalog.worldbank.org/

Population density in the world
Thematic map displays population density. The data is taken from FAO LADA databank.

Porovnani referencnich prvku
Porovnani referencnich prvku. Jedna vrstva je na zaklade prvku z OSMu, ta druha kombinuje data z OSMu s daty s Global Coveru od ESy

RCMRD selected data for Africa
Regional Centre for Mapping of Resources for Development (RCMRD) data from its GeoPortal regarind Africa and different topics of data: Africa_Terrestrial_Ecosystems, Africa_Isobioclimates, Africa_Land_Surface, Africa_Topo_Moisture_Potential, Africa_Surface_Lithology, africa_agroecological_zoning, africa_farming_systems

RCMRD selected data for Africa
Regional Centre for Mapping of Resources for Development (RCMRD) data from its GeoPortal regarind Africa and different topics of data

Sentinel 2 imagery in the areas of interest in Africa from 02.01.2020 to 20.03.2020

SoilGrids250m 2.0 - Bulk density
Bulk density (fine earth) in cg/cm³ at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Cation exchange capacity at ph7
Cation exchange capacity ph7 of soil in cmolc/kg at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Clay content
Clay content (0-2 micro meter) mass fraction in ‰ at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Coarse fragments volumetric
Coarse fragments volumetric in ‱ at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Nitrogen
Nitrogen in cg/kg at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Sand content
Sand content (50-2000 micro meter) mass fraction in ‰ at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Silt content
Silt content (2-50 micro meter) mass fraction in ‰ at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Soil organic carbon content
Soil organic carbon content (fine earth fraction) in dg/kg at 6 standard depths predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Soil organic carbon stock
Soil organic carbon stock in t/ha for 0-30, 30-100 and 100-200 depth intervals predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

SoilGrids250m 2.0 - Soil pH in H2O
Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10) predicted using the global compilation of soil ground observations. To visualize these layers please use www.soilgrids.org.

Soilgrids WRB probability classes

Soilgrids property: Organic carbon densities

Statistical data about African countries
The statistical data about African countries collected from Wikidata pages

Structure of Livestock in East Africa
Structure of Livestock in East Africa in 2005

Structure of harvested areas in African countries
Structure of harvested areas in African countries in 2005

Structure of harvested areas in Southern Africa region
Structure of harvested areas in Southern Africa region in 2005

Structure of harvested areas in Uganda
Structure of harvested areas in Uganda in 2005

Surface soil nitrogen at Hebei fields (Pilot 8)
Concentration of nitrogen at surface soil level (0-5cm) at Hebei fields surroundings (Pilot 8)

Surface soil nitrogen at Heilongjiang fields (Pilot 9)
Concentration of nitrogen at surface soil level (0-5cm) at Heilongjiang fields surroundings (Pilot 9)

Surface soil nitrogen at Jiangsu fields (Pilot 10)
Concentration of nitrogen at surface soil level (0-5cm) at Jiangsu fields surroundings (Pilot 10)

Surface soil nitrogen at Xinjiang fields (Pilot 11)
Concentration of nitrogen at surface soil level (0-5cm) at Xinjiang fields surroundings (Pilot 11)

Tanzania Wami Ruvu Rufiji Long Term Mean Max Temp
Average maximum temperatures captures the long term average temperature values within the basin. The temperature dataset is obtained from FEWSNET ITE from 1981-2012. High temperature translates to high exposure of a population or ecosystem, this has an direct relationship to the overall vulnerability component.

Uganda land cover

Vectorization of fields in Nitra region
Vectorization of fields in Nitra region: vectorization from EVI 20 classes classification overposed with LPIS borders

Victoria Lake

Water Quality Monitoring

Wheat Harvested areas in 2005 (ha.)
Wheat Harvested areas in 2005 (ha.). Data from Harvard research.

World Reference Base (WRB) for soils . Most probable type.

Xinjiang pilot (Pilot 11) OLU
OLU in Aral City district of China

data_fao_org Web Map Service
A compliant implementation of WMS plus most of the SLD extension (dynamic styling)_ Can also generate PDF, SVG, KML, GeoRSS

test composition for webinar
showcase of afrihub

watebodies
demo

demo