Jagiellonian University, Doctoral School of Exact and Natural Sciences, Prof. St. Łojasiewicza St 11, 30-348, Cracow, Poland.
Institute of Geography and Spatial Management, Faculty of Geography and Geology, Jagiellonian University, Gronostajowa 7, 30-387, Cracow, Poland.
Sci Data. 2024 Apr 5;11(1):341. doi: 10.1038/s41597-024-03179-2.
The aim of this study was to create a dataset of building locations in Poland from the 1970s-1980s. The source information was the historical 1:10 000 Polish topographic map. Building footprints were detected and extracted from approximately 8,500 scanned map sheets using the Mask R-CNN model implemented in Esri ArcGIS Pro software, and converted to point building locations. The dataset of building locations covers the entire country and contains approximately 11 million points representing buildings. The accuracy of the dataset was assessed manually on randomly selected map sheets. The overall accuracy is 95% (F1 = 0.98). The dataset may be used in conjunction with various contemporary land use, land cover and cadastral datasets in a broad range of applications related to long-term changes in rural and urban areas, including urban sprawl and its environmental and social consequences. It can also serve as a highly reliable reference dataset for regional or global settlement products derived, e.g., from early Landsat data.
本研究的目的是创建一个来自 20 世纪 70 年代至 80 年代的波兰建筑物位置数据集。源信息是历史上的 1:10000 波兰地形地图。使用 Esri ArcGIS Pro 软件中实现的 Mask R-CNN 模型，从大约 8500 张扫描的地图中检测和提取建筑物轮廓，并转换为点状建筑物位置。建筑物位置数据集涵盖整个国家，包含大约 1100 万个代表建筑物的点。数据集的准确性在随机选择的地图上进行了手动评估。总体准确率为 95%（F1=0.98）。该数据集可与各种当代土地利用、土地覆盖和地籍数据集结合使用，应用范围广泛，涉及农村和城市地区的长期变化，包括城市扩张及其环境和社会后果。它还可以作为从早期 Landsat 数据等衍生的区域或全球住区产品的高度可靠参考数据集。
