DanubeDataCube derived data land cover machine learning open data raster sentinel hub systematic xcube
The concept of the NHRL was to create a dataset that provides wall-to-wall information on land cover, especially on land cover categories that can be more reliably identified by remote sensing methods. Its classification mixes land use and land cover elements according to human interest, providing map information from the built environment to agricultural cultivated areas and natural vegetation cover. In addition to the machine-learning process (Random Forest), its production includes data integration (roads - railways - buildings) and other data filtering steps to reduce data noise. In the future, this yearly dataset could provide the basis for the production of visually verified change data with a reduced nomenclature. The data published here is not suitable for change detection in its present form.
10m
Hungary (16.0°, 45.0°, 23.0°, 49.0°)
2016 -2021
Annually
| Name | Description |
|---|---|
| nhrl | Land cover classification |
Lechner Knowledge Center, Hungary
Lechner Knowledge Center, Hungary
See all datasets managed by Lechner Knowledge Center, Hungary.
https://services.sentinel-hub.combyoc-86c76a3d-29f3-4eff-99fe-3eb84e422c6686c76a3d-29f3-4eff-99fe-3eb84e422c66