Volltext-Downloads (blau) und Frontdoor-Views (grau)

Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-128160

An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022

  • We present detailed annual land cover maps for the Baltic Sea region, spanning more than two decades (2000–2022). The maps provide information on eighteen land cover (LC) classes, including eight general LC types, eight major crop types and grassland, and two peat bog-related classes. Our maps represent the first homogenized annual dataset for the region and address gaps in current land use and land cover products, such as a lack of detail on crop sequences and peat bog exploitation. To create the maps, we used annual multi-temporal remote sensing data combined with a data encoding structure and deep learning classification. We obtained the training data from publicly available open datasets. The maps were validated using independent field survey data from the Land Use/Cover Area Frame Survey (LUCAS) and expert annotations from high-resolution imagery. The quantitative and qualitative results of the maps provide a reliable data source for monitoring agricultural transformations, peat bog exploitation, and restoration activities in the Baltic Sea region and its surrounding countries.

Download full text files

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author: Vu-Dong PhamORCiD, Farina de Waard, Fabian ThielORCiD, Bernd Bobertz, Christina HellmannORCiD, Duc-Viet NguyenORCiD, Felix BeerORCiD, M. ArasumaniORCiD, Marcel SchwiederORCiD, Jörg Hartleib, David FrantzORCiD, Sebastian van der LindenORCiD
URN:urn:nbn:de:gbv:9-opus-128160
DOI:https://doi.org/10.1038/s41597-024-04062-w
ISSN:2052-4463
Parent Title (English):Scientific Data
Publisher:Nature Publishing Group
Place of publication:London
Document Type:Article
Language:English
Year of Completion:2024
Date of first Publication:2024/11/18
Release Date:2025/09/03
Volume:11
Issue:1
Article Number:1242
Page Number:17
Faculties:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geographie und Geologie
Collections:Artikel aus DFG-gefördertem Publikationsfonds
Licence (German):License LogoCreative Commons - Namensnennung 4.0 International