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zenodo44/100

Changes in the building stock of DaNang between 2015 and 2017

<p><strong>Description</strong></p> <p>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 Pl&eacute;iades satellite image from 24.10.2015 and classified into 9 categories in a semi-automatic workflow desribed by <a href="https://www.tandfonline.com/doi/full/10.1080/22797254.2019.1604083">Warth et al. (2019)</a> and <a href="https://www.mdpi.com/2079-9276/8/4/171">Vetter-Gindele et al. (2019)</a>.</p> <p>In a second step, these buildings were inspected for changes based on a second Pl&eacute;iades 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>).</p> <p>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</p> <p>&nbsp;</p> <p><strong>Contents</strong></p> <p>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:</p> <ul> <li>shp: <strong>polygon geometries</strong> (geometries of the administrative boundaries and hexagons)</li> <li>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.)</li> <li>shx: index file combining the geometries with the attributes</li> <li>cpg: encoding of the attributes (UTF-8)</li> <li>prj: spatial reference of the datasets (UTM zone 49 North, <a href="https://epsg.io/32649">EPSG:32649</a>) for ArcGIS</li> <li>qpj: spatial reference of the datasets (UTM zone 49 North, <a href="https://epsg.io/32649">EPSG:32649</a>) for QGIS</li> <li>lyr: symbology suggestion for the polygons(predefined is the number of <em>local type shophouses</em> in 2017) for ArcGIS</li> <li>qml: symbology suggestion for the polygons (predefined is the number of new buildings between 2015 and 2017) for QGIS</li> </ul> <p>&nbsp;</p> <p><strong>Citation and documentation</strong></p> <p>To cite this dataset, please refer to the publication</p> <ul> <li>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. <a href="https://doi.org/10.3390/data5020042">doi:10.3390/data5020042</a></li> </ul> <p>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.</p>

opencc-by-4.0Apr 2020View details →

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