Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster layers, and the training samples (LUCAS and CORINE samples compilation) to map the land-cover in different areas of the European Union-EU. The slope and elevation refers to Digital Terrain Model for Continental Europe, and the night light images are from VNP46A1 product (VIIRS/NPP Daily Gridded Day Night Band 500m). The temporal composites were based on GLAD Landsat ARD, considering the 4 seasons and 3 percentiles per season (25, 50 and 75), for 6 spectral (blue, green, red, NIR, SWIR1, SWIR2) and 1 thermal band, resulting at end in 88 Landsat composites per year. The images for each season were selected using the same calendar dates for all p...
Harmonized training samples based on LUCAS (Land Use and Coverage Area frame Survey) and CLC (CORINE...
Available land use/cover maps differ in their spatial extent and in their thematic, spatial, and tem...
Land cover maps are important tools for quantifying the human footprint on the environment and facil...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Annual land cover mapping for continental Europe based on Ensemble Machine Learning (EML), samples o...
Annual land cover mapping for continental Europe based on Ensemble Machine Learning (EML), samples o...
Thematic accuracy assessment of land cover/use products requires reliable reference data that enable...
The pan-European land cover map of 2015 was produced by combining the large European-wide land surve...
Refer to preprint here: https://arxiv.org/abs/2104.10922 A land cover classification for Europe at ...
Data on land use and land cover (LULC) are a vital input for policy-relevant research, such as model...
This dataset contains 23 30m resolution raster data of continental Europe land use / land cover clas...
Harmonized training samples based on LUCAS (Land Use and Coverage Area frame Survey) and CLC (CORINE...
Available land use/cover maps differ in their spatial extent and in their thematic, spatial, and tem...
Land cover maps are important tools for quantifying the human footprint on the environment and facil...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster la...
Annual land cover mapping for continental Europe based on Ensemble Machine Learning (EML), samples o...
Annual land cover mapping for continental Europe based on Ensemble Machine Learning (EML), samples o...
Thematic accuracy assessment of land cover/use products requires reliable reference data that enable...
The pan-European land cover map of 2015 was produced by combining the large European-wide land surve...
Refer to preprint here: https://arxiv.org/abs/2104.10922 A land cover classification for Europe at ...
Data on land use and land cover (LULC) are a vital input for policy-relevant research, such as model...
This dataset contains 23 30m resolution raster data of continental Europe land use / land cover clas...
Harmonized training samples based on LUCAS (Land Use and Coverage Area frame Survey) and CLC (CORINE...
Available land use/cover maps differ in their spatial extent and in their thematic, spatial, and tem...
Land cover maps are important tools for quantifying the human footprint on the environment and facil...