Urban Green Index estimation based on data collected by remote sensing for Romanian cities

Marian Necula, Tudorel Andrei, Bogdan Oancea, Mihaela Păun
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Abstract

The modernization of offi cial statistics involves the use of new data sources, such as data collected through remote sensing. The document contains a description of how an urban green index, derived from the SDG 11.7 objective, was obtained for Romania's 41 county seat cities based on free data sets collected by remote sensing from the European and North American space agencies. The main result is represented by an estimate of the areas of surfaces covered with vegetation for the 40 county seat towns and the municipality of Bucharest, relative to the total surface. To estimate the area covered with vegetation, we used two data sets obtained by remote sensing, namely data provided by the MODIS mission, the TERRA satellite, and data provided by the Sentinel 2 mission from the Copernicus space program. Based on the results obtained, namely the surface area covered with vegetation, estimated in square kilometers, and the percentage of the total surface area or urban green index, we have created a national top of the county seat cities
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根据遥感技术收集的罗马尼亚城市数据估算城市绿色指数
官方统计的现代化涉及到新数据源的使用,如通过遥感收集的数据。本文件介绍了如何根据可持续发展目标 11.7 的目标,在欧洲和北美空间机构通过遥感收集的免费数据集的基础上,为罗马尼亚的 41 个县级城市获得城市绿色指数。主要结果是估算了 40 个县城和布加勒斯特市植被覆盖面积占总面积的比例。为了估算植被覆盖面积,我们使用了两套遥感数据,即 MODIS 任务和 TERRA 卫星提供的数据,以及哥白尼太空计划哨兵 2 号任务提供的数据。根据所获得的结果,即以平方公里为单位估算的植被覆盖面积,以及植被覆盖面积占总面积的百分比或城市绿化指数,我们创建了全国县级城市的顶层设计。
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