Landelijk Grondgebruik Nederland 2018 (LGN2018)
LGN2018 is a grid file that shows Dutch land use in 2018 with a spatial resolution of 5m. The legend consists of 48 land use classes, distinguishing the main agricultural crops, forest, water, nature and urban classes. In addition to increasing the spatial detail (from 25*25m to 5*5m), the thematic detail of especially the nature areas has been greatly improved by, among other things, the use of multi-temporal Sentinel-2 images and the AHN2/3 dataset. In addition to the Sentinel-2 images and the AHN2/3 dataset, the following datasets were used to make LGN2018: Top10NL (version November 2018),... Mehr ...
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| Dokumenttyp: | other |
| Erscheinungsdatum: | 2023 |
| Verlag/Hrsg.: |
Wageningen University & Research
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| Schlagwörter: | LGN2018 / Landelijk Grondgebruik Nederland / bodembedekking / land cover / land use / landgebruik / monitoren / monitoring / nature classification / natuurclassificatie / remote sensing |
| Sprache: | unknown |
| Permalink: | https://search.fid-benelux.de/Record/base-29143842 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://research.wur.nl/en/datasets/landelijk-grondgebruik-nederland-2018-lgn2018 |
LGN2018 is a grid file that shows Dutch land use in 2018 with a spatial resolution of 5m. The legend consists of 48 land use classes, distinguishing the main agricultural crops, forest, water, nature and urban classes. In addition to increasing the spatial detail (from 25*25m to 5*5m), the thematic detail of especially the nature areas has been greatly improved by, among other things, the use of multi-temporal Sentinel-2 images and the AHN2/3 dataset. In addition to the Sentinel-2 images and the AHN2/3 dataset, the following datasets were used to make LGN2018: Top10NL (version November 2018), Basis Registratie Percelen 2018 (BRP2018), Bestand BodemGebruik 2015 (BBG2015), BasisKaart Natuur 2017 (BKN2017), and LGN7. In addition, aerial photos from 2018 have been used. The dataset is public which is made possible by WOT Natuur & Milieu, Het Waterschapshuis, Interprovinciaal Overleg, RIVM and Wageningen Environmental Research.