Data on Flooded Settlements in the Dosso Region, Niger

This dataset contains information about the spatial dynamics of flooded settlements in the Dosso Region, in Niger. The data was collected by means of photo-interpretation of very high-resolution satellite images available on Google Earth. Settlements were chosen according to Niger's national database on flooding, known by the French acronym, BDINA. The zip archive contains built-up areas of each of the 122 settlements at three different dates, for a total of 365 files stored in .kmz format (the odd number is due to the merge of two settlements on the most recent date). The word document contains two tables describing all settlements information regarding the built-up areas, the years of reference, and the roof composition of the building assets. The figures, which are a revisitation of the figures published in the related Land Use Policy article, show a synthesis of the data collected: -Fig. 1 shows the location of the 122 human settlements inundated between 2011 and 2019; -Fig. 2 shows the dates on which the high-resolution images of the 122 settlements are freely available on Google Earth; -Fig. 3 shows a comparison between the built-up area that can be defined with Google Earth and the built-up area of the global settlement dataset based on Landsat data (HBASE); -Figs. 4 and 5 show the built-up area on the three dates for the city of Gaya, the rural town of Tanda, the village of Bouma Manzo, and the hamlet of Kofo. The method used for the data collection is replicable in other contexts and can be used to identify the most rapidly expanding settlements, the extent of the built-up area under the risk of flooding, and to verify the accuracy of the built-up area obtained from coarse satellite images. The data presented can be used for future insights and researches on the region.本数据集收录了尼日尔多索地区洪涝受灾居民点的空间动态相关数据。数据通过对谷歌地球（Google Earth）平台提供的超高分辨率卫星影像开展目视解译采集获取。居民点的选取依据尼日尔国家洪涝数据库（法语缩写BDINA）开展。 该压缩归档文件包含122个居民点在三个不同时间节点的建成区数据，总计365个.kmz格式文件（文件总数为奇数，源于最新一期数据中两个居民点的合并操作）。 配套Word文档内含两张表格，详细列明了全部居民点的建成区信息、参考年份以及建筑资产的屋顶构成情况。 本数据集附带的图表为《土地利用政策》（Land Use Policy）期刊已发表图表的修订版本，汇总呈现了本次采集的数据： - 图1展示了2011年至2019年间受淹的122个居民点的空间分布位置； - 图2展示了122个居民点的高分辨率卫星影像在谷歌地球平台公开可用的时间节点； - 图3对比了通过谷歌地球解译得到的建成区面积与基于Landsat数据的全球居民点数据集（HBASE）的建成区面积； - 图4与图5分别呈现了盖亚（Gaya）市、坦达（Tanda）乡镇、布马曼佐（Bouma Manzo）村以及科福（Kofo）村落三个时期的建成区面积变化情况。 本次数据采集所采用的方法具备跨场景可复制性，可用于识别扩张速度最快的居民点、评估洪涝风险覆盖下的建成区范围，同时可用于验证基于粗分辨率卫星影像获取的建成区数据的准确性。 本数据集可用于该地区后续的相关研究与探索工作。