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EUCROPMAP 2018
European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations for 2018. Capitalizing on the unique LUCAS 2018 Copernicus in-situ survey, this dataset is the first continental crop type map with 10m pixel size for the EU based on S1A and S1B Synthetic … crop eu jrc lucas sentinel1-derived -
GHSL: Global Human Settlement Layers, Built-Up Grid 1975-1990-2000-2015 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … built builtup jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Characteristics 2018 (P2023A)
The GHS-BUILT-C spatial raster dataset delineates the boundaries of the human settlements at 10m pixel size and describes their inner characteristics in terms of the morphology of the built environment and the functional use. The Morphological Settlement Zone (MSZ) delineates the spatial domain of all … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Height 2018 (P2023A)
The GHS-BUILT-H spatial raster dataset contains building heights as extracted from the filtering of a composite of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques. The used input DEMs are the ALOS World 3D - 30m (AW3D30, 2006-2011) … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Surface Grid 1975-2030 (P2023A)
The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surface estimates between 1975 and 2030 in 5 year intervals. The data is made by spatial-temporal interpolation of five observed collections of multiple-sensor, multiple-platform satellite imagery datasets: Landsat (MSS, TM, ETM sensor) data … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Volume Grid 1975-2030 (P2023A)
The GHS-BUILT-V spatial raster dataset depicts the distribution of the built-up volumes, expressed as number in cubic meters. The dataset contains two bands: the total built-up volume and the built-up volume allocated to dominant nonresidential (NRES). The data is made by spatial-temporal interpolation of satellite … built builtup ghsl jrc landsat-derived -
GHS-POP R2023A - GHS population grid multitemporal (1975-2030)
The GHS-POP R2023A dataset depicts the distribution of residential population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units … ghsl jrc population -
GHS-SMOD R2023A - Global Human Settlement Layers (1975-2030)
The GHS-SMOD dataset is the rural-urban Settlement classification MODel adopted by the GHSL. It is the representation of the degree of urbanization (DEGURBA) concept in the GHSL data scenario. Each grid in the GHS-SMOD has been generated by integrating the GHSL built-up areas and GHSL … ghsl jrc settlement -
JRC Global Surface Water Mapping Layers, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Global Surface Water Metadata, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google jrc landsat-derived surface water -
JRC Monthly Water History, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Monthly Water Recurrence, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … geophysical google history jrc landsat-derived monthly -
JRC Yearly Water Classification History, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … annual geophysical google history jrc landsat-derived -
LUCAS Copernicus (Polygons with attributes, 2018) V1
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and … copernicus eu jrc landcover landuse lucas -
LUCAS Harmonized (Theoretical Location, 2006-2018) V1
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and … eu jrc landcover landuse lucas -
Accessibility to Healthcare 2019
This global accessibility map enumerates land-based travel time (in minutes) to the nearest hospital or clinic for all areas between 85 degrees north and 60 degrees south for a nominal year 2019. It also includes "walking-only" travel time, using non-motorized means of transportation only. Major … accessibility jrc map oxford twente -
Global Friction Surface 2019
This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2019. It also includes "walking-only" travel speed, using non-motorized means of transportation only. This map was produced through a collaboration between … accessibility jrc map oxford twente
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