Changes in the building stock of DaNang between 2015 and 2017

<strong>Description</strong> This dataset consist of two vector files which show the change in the building stock of the City of DaNang retrieved from satellite image analysis. Buildings were first identified from a Pléiades satellite image from 24.10.2015 and classified into 9 categories in a semi-automatic workflow desribed by Warth et al. (2019) and Vetter-Gindele et al. (2019). In a second step, these buildings were inspected for changes based on a second Pléiades satellite image acquired on 13.08.2017 based on visual interpretation. Changes were also classified into 5 categories and aggregated by administrative wards (first dataset: <em>adm</em>) and a hexagon grid of 250 meter length (second dataset: <em>hex</em>). The full workflow of the generation of this dataset, including a detailled description of its contents and a discussion on its potential use is published by Braun et al. 2020: Changes in the building stock of DaNang between 2015 and 2017 <strong>Contents</strong> Both datasets (<em>adm </em>and <em>hex</em>) are stored as ESRI shapefiles which can be used in common Geographic Information Systems (GIS) and consist of the following parts: shp: <strong>polygon geometries</strong> (geometries of the administrative boundaries and hexagons) dbf: <strong>attribute table</strong> (containing the number of buildings per class for 2015 and 2017 and the underlying changes (e.g. number of new buildings, number of demolished buildings, ect.) shx: index file combining the geometries with the attributes cpg: encoding of the attributes (UTF-8) prj: spatial reference of the datasets (UTM zone 49 North, EPSG:32649) for ArcGIS qpj: spatial reference of the datasets (UTM zone 49 North, EPSG:32649) for QGIS lyr: symbology suggestion for the polygons(predefined is the number of <em>local type shophouses</em> in 2017) for ArcGIS qml: symbology suggestion for the polygons (predefined is the number of new buildings between 2015 and 2017) for QGIS <strong>Citation and documentation</strong> To cite this dataset, please refer to the publication Braun, A.; Warth, G.; Bachofer, F.; Quynh Bui, T.T.; Tran, H.; Hochschild, V. (2020): <strong>Changes in the Building Stock of Da Nang between 2015 and 2017</strong>. <em>Data</em>, 5, 42. doi:10.3390/data5020042 This article contains a detailed description of the dataset, the defined building type classes and the types of changes which were analyzed. Furthermore, the article makes recommendations on the use of the datasets and discusses potential error sources.<strong>描述</strong> 本数据集包含两个矢量文件，记录了从卫星影像分析中获取的岘港市（Da Nang）建筑存量变化情况。建筑首先通过2015年10月24日获取的普莱阿德斯（Pléiades）卫星影像识别，并通过Warth等人（2019）与Vetter-Gindele等人（2019）提出的半自动工作流划分为9个类别。第二步，基于2017年8月13日获取的第二景普莱阿德斯（Pléiades）卫星影像，通过目视解译对上述建筑的变化情况进行核查，将变化划分为5个类别，并分别按行政街区（第一个数据集：<em>adm</em>）与边长250米的六边形网格（第二个数据集：<em>hex</em>）进行空间聚合。本数据集的完整生成流程、内容细节说明以及潜在应用场景的讨论，已由Braun等人（2020）发表于《Changes in the building stock of Da Nang between 2015 and 2017》。 <strong>内容</strong> 两个数据集（<em>adm</em>与<em>hex</em>）均以ESRI形状文件（ESRI shapefiles）格式存储，可在主流地理信息系统（Geographic Information Systems，简称GIS）中使用，由以下部分组成： shp：<strong>多边形几何要素</strong>（行政边界与六边形的几何形状） dbf：<strong>属性表</strong>（包含2015年与2017年各分类下的建筑数量，以及对应的变化量，例如新增建筑数量、拆除建筑数量等） shx：关联几何要素与属性的索引文件 cpg：属性编码格式（UTF-8） prj：数据集的空间参考信息（UTM 49北带，EPSG:32649），适用于ArcGIS qpj：数据集的空间参考信息（UTM 49北带，EPSG:32649），适用于QGIS lyr：ArcGIS专用的多边形符号化建议模板（默认预设为2017年本地类型商铺<em>local type shophouses</em>的数量） qml：QGIS专用的多边形符号化建议模板（默认预设为2015至2017年的新增建筑数量） <strong>引用与文档说明</strong> 引用本数据集请参考以下文献：Braun, A.; Warth, G.; Bachofer, F.; Quynh Bui, T.T.; Tran, H.; Hochschild, V. (2020): <strong>Changes in the Building Stock of Da Nang between 2015 and 2017</strong>。该文刊载于<em>Data</em>第5卷第42期，DOI:10.3390/data5020042。本文详细说明了本数据集、预定义的建筑类型分类以及所分析的变化类型，并针对数据集的使用提出了建议，同时讨论了潜在的误差来源。