Development of a New Ground Truth Database for Global Urban Area Mapping from a Gazetteer
Development of a New Ground Truth Database for Global Urban Area Mapping from a Gazetteer
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DOI：
10.3390/rs3061177
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
H. Miyazaki;K. Iwao;R. Shibasaki
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文献类型：
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作者：
H. Miyazaki;K. Iwao;R. Shibasaki
我们通过对卫星图像上的3734个城市点进行视觉解释，从而获得2144个城市数据点和1388个非城市数据点，从全球城乡制图项目（GRUMP）居民点地名地名表中开发了城市地区的地面真实度数据库。我们的数据库包含比现有数据库更多的城市数据点，现有数据库只有0到11个地面真实数据点。我们将数据库与Degree Confluence Project数据库结合使用，对8张卫星衍生城市地图的精度进行了评估，其中MODIS Terra + Aqua Land Cover Type annual L3 Global 500 m SIN Grid最准确（总体精度84%，kappa系数为0.63）。此外，最近出版的地图不一定是最准确的。我们将我们数据库的准确性评估结果与其他数据库的准确性评估结果进行了比较，发现我们的数据库检测到更多的委托错误，但包括较少的机会一致性。
We developed a ground truth database for urban areas from the Global Rural-Urban Mapping Project (GRUMP) Settlement Points gazetteer of populated place names by visually interpreting 3,734 urban points on satellite images, thus acquiring 2,144 urban and 1,388 non-urban data points. Our database contained many more urban data points than the existing databases, which had only 0 to 11 ground truth data points. We used our database in combination with the Degree Confluence Project database to assess the accuracy of eight satellite-derived urban area maps, among which the MODIS Terra + Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid was the most accurate (84% overall accuracy; kappa coefficient, 0.63). Moreover, the most recently published maps were not necessarily the most accurate. We compared the accuracy assessment results of our database with those of another database and found that ours detected more errors of commission but included less chance agreement.