Pham Vu-Dong, de Waard Farina, Thiel Fabian, Bobertz Bernd, Hellmann Christina, Nguyen Duc-Viet, Beer Felix, Arasumani M, Schwieder Marcel, Hartleib Jörg, Frantz David, van der Linden Sebastian
Institute of Geography and Geology, University of Greifswald, Partner in the Greifswald Mire Centre, Friedrich-Ludwig-Jahn-Str. 16, 17489, Greifswald, Germany.
Interdisciplinary Centre for Baltic Sea Region Research (IFZO), University of Greifswald, 17489, Greifswald, Germany.
Sci Data. 2024 Nov 18;11(1):1242. doi: 10.1038/s41597-024-04062-w.
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.
我们展示了波罗的海地区详细的年度土地覆盖图，时间跨度超过二十年（2000 - 2022年）。这些地图提供了关于十八种土地覆盖（LC）类别的信息，包括八种一般土地覆盖类型、八种主要作物类型和草地，以及两种与泥炭沼泽相关的类别。我们的地图代表了该地区首个经过均质化处理的年度数据集，填补了当前土地利用和土地覆盖产品中的空白，比如作物轮作和泥炭沼泽开发方面细节的缺失。为制作这些地图，我们使用了年度多时相遥感数据，并结合数据编码结构和深度学习分类方法。我们从公开可用的开放数据集中获取训练数据。这些地图通过来自土地利用/覆盖面积框架调查（LUCAS）的独立实地调查数据以及高分辨率影像的专家注释进行了验证。这些地图的定量和定性结果为监测波罗的海地区及其周边国家的农业转型、泥炭沼泽开发和恢复活动提供了可靠的数据源。
