National High Resolution Layer, Hungary

Short description

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.

Mapping Methodology

The mapping methodology combined elements such as (1) image-based predictive mapping (using Random Forest classifier based on Sentinel-1,-2 and environmental data); (2) information derived from a (theoretical) data cube which was set up of various country-scale databases, and (3) high-level expert knowledge input (participatory method).

Typology

Its classification is non-hierarchical, but it can be simplified by thematically aggregating certain classes. For a purpose-specific and efficient use, it is important to take into account the real content of the classes and the range of additional data required.

Band information

National High Resolution Layer has one band nhrl. The band values correspond to land cover classes described in Table 1 below.

Table 1: National High Resolution Layer nomenclature

Value Color Color Code Label
111 #FF0000 111 Single-floor buildings
112 #A80000 112 High buildings
12 #828282 12 Other paved or non-paved artificial surfaces
13 #4E4E4E 13 Road network
14 #000000 14 Railway network
20 #E1E1E1 20 Bare soil (natural bare surfaces)
21 #FFFFBE 21 Cereals
22 #FFEBAF 22 Row crops
24 #D3FFBE 24 Alfalfa
25 #AAFF00 25 Rapeseed
26 #ABFF66 26 Grassland
27 #B0643C 27 Orchards
28 #FFAA00 28 Vineyards
29 #FFFF00 29 Heterogeneous vegetated surfaces in built-up environment
30 #448970 30 Shrubland
31 #19A800 31 Broadleaved trees
33 #267300 33 Coniferous trees
35 #F5F57A 35 Grasslands with shrubs
36 #CDF57A 36 Heterogeneous grassland with periodic water effect
37 #67F070 37 Salt steppes and meadows
41 #73B2FF 41 Wetlands
43 #D69DBC 43 Reeds
51 #0070FF 51 Water surfaces

More information

Representative Images

CLC vs NHRL
Illustration of CLC vs NHRL