This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on August 22, 2023. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on July 30, 2020. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on September 3, 2019. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on August 23, 2023. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on September 8, 2020. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

This layer shows the NDVI calculated using the spectral information from a hyperspectral camera (Headwall – Nano) recorded with a drone over the vineyard on September 13, 2021. NDVI (= Normalized Difference Vegetation Index) belongs to the vegetation indices, which can map the vitality of plants by using spectral information in the red and near-infrared. It has a defined value range and can be easily interpreted as healthy vegetation has values from 0.6 to 1 maximum.

3D buildings with LOD 2.2 classification on the national territory of the Grand Duchy of Luxembourg in 2020, with the exception of the municipal territory of Luxembourg City. The 3D buildings were created on the basis of aerial images from summer 2020 (flight period: end of July, beginning of August and mid-September 2020; flight height: +/- 3500 m above ground level) by photogrammetric restitution of the roofs (MSE in x, y and z ≤ 20 cm), followed by downward extrusion and texturing of the resulting 3D models of the buildings with oblique aerial images. Only the roofs of buildings with a footprint greater than 20 m2 were captured, taking into account superstructures (e.g. dormers) whose longest side exceeds 50 cm and which have a volume greater than 1 m3.

3D buildings with LOD 2.3 classification resulting from a proof of concept of 2017. The buildings are modelled based on a photogrammetric evaluation of aerial images from 2017 and are only available on a total area of 3 km2 in Diekirch and Bastendorf.

3D models with LOD 1 classification of the bridges on the national territory of the Grand Duchy of Luxembourg in 2019. The 3D models were automatically extracted from the point cloud of the LiDAR survey in February 2019.

3D models of trees on the national territory of the Grand Duchy of Luxembourg, derived from the point cloud of the LiDAR survey in February 2019. The models do not correspond to the actual shape or type of the trees, but consist of a generalised model that has been scaled according to the tree parameters extracted from the point cloud.