Data for "LAND COVER CLASSIFICATION FROM A MAPPING PERSPECTIVE: PIXELWISE SUPERVISION IN THE DEEP LEARNING ERA"

<strong>Contents</strong> clc_maps.zip contains the dataset. LICENSE.txt describes the usage terms of the maps. The maps contained in clc_maps.zip follow the naming convention of BigEarthNet [1], i.e. each sample of BigEarthNet has a corresponding pixel-level label map in the dataset. [1] G. Sumbul, M. Charfuelan, B. Demir, and V. Markl, “Bigearthnet: A large-scale benchmark archive for remote sensing image understanding,” in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019, pp. 5901–5904. <strong>Description</strong> The original shape file (link) was altered by reprojecting the shape file onto the coordinate reference system (CRS) of the respective BigEarthNet sample images to ensure pixel synchronicity. Afterwards, the shapes present in the sample CRS are rasterized by burning a linearly increasing class index which replaces the textual CLC nomenclature. The class IDs and their corresponding class names are presented in the following section. <strong>Classes</strong> Class ID - Corine Land Cover 2018 class name<br> 1 - Continuous urban fabric<br> 2 - Discontinuous urban fabric<br> 3 - Industrial or commercial units<br> 4 - Road and rail networks and associated land<br> 5 - Port areas<br> 6 - Airports<br> 7 - Mineral extraction sites<br> 8 - Dump sites<br> 9 - Construction sites<br> 10 - Green urban areas<br> 11 - Sport and leisure facilities<br> 12 - Non-irrigated arable land<br> 13 - Permanently irrigated land<br> 14 - Rice fields<br> 15 - Vineyards<br> 16 - Fruit trees and berry plantations<br> 17 - Olive groves<br> 18 - Pastures<br> 19 - Annual crops associated with permanent crops<br> 20 - Complex cultivation patterns<br> 21 - Land principally occupied by agriculture, with significant areas of natural vegetation<br> 22 - Agro-forestry areas<br> 23 - Broad-leaved forest<br> 24 - Coniferous forest<br> 25 - Mixed forest<br> 26 - Natural grasslands<br> 27 - Moors and heathland<br> 28 - Sclerophyllous vegetation<br> 29 - Transitional woodland-shrub<br> 30 - Beaches, dunes, sands<br> 31 - Bare rocks<br> 32 - Sparsely vegetated areas<br> 33 - Burnt areas<br> 34 - Glaciers and perpetual snow<br> 35 - Inland marshes<br> 36 - Peat bogs<br> 37 - Salt marshes<br> 38 - Salines<br> 39 - Intertidal flats<br> 40 - Water courses<br> 41- Water bodies<br> 42 - Coastal lagoons<br> 43 - Estuaries<br> 44 - Sea and ocean<br> 48 - NODATA<br> 49 - UNCLASSIFIED LAND SURFACE<br> 50 - UNCLASSIFIED WATER BODIES More details about the CLC classes and conventions can be found in the CLC nomenclature guide (Link). <strong>Attribution</strong> If you find this work useful please consider citing: Wilhelm, T.; Koßmann, D. LAND COVER CLASSIFICATION FROM A MAPPING PERSPECTIVE: PIXELWISE SUPERVISION IN THE DEEP LEARNING ERA. In Proceedings of the IGARSS 2021—2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 12 – 16 July 2021; to appear. <strong>License</strong> The generated maps are based on data from the Copernicus program, which are subject to the terms described here:<br> https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata