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Advanced utilization of satellite and governmental data for determining the coverage and condition of green areas in Poland: An experimental statistics supporting the Statistics Poland
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2024-05-04 , DOI: 10.1016/j.jag.2024.103883
Ewa Panek-Chwastyk , Katarzyna Dąbrowska-Zielińska , Anna Markowska , Marcin Kluczek , Marek Pieniążek

Statistics Poland utilizes Earth Observation and in-situ data to assess green areas, aiming to derive vital information on natural capital statistics and human well-being. This is essential for informed decision-making and sustainable development. Improving regional well-being statistics is a priority due to Poland's low rankings in environmental well-being indicators. To overcome challenges in obtaining comprehensive data at the commune level, the study introduces a new and innovative system for monitoring green areas. This system employs Sentinel-2 satellite data, combined with Copernicus vegetation and phenology products in order to determine extent and condition of green areas. In addition, the applied land cover product (Dynamic World) and national vector database of topographic features (BDOT10k) contributes to the quality and accuracy of the analyses carried out. The system yields two pivotal indicators: one delineating the proportional coverage of green areas within communes boundaries, and the other elucidating the state and health of these delineated areas. A key highlight of the system is its innovative use of local resources and the Google Earth Engine application to observe green areas at a 10-meter resolution at the commune level, particularly in major cities in Poland. These observations are crucial for the Polish Public Services Monitoring System (SMUP), providing comprehensive local-level evaluation services. The research outcome consists of a comparison between the extent of green areas delineated by public administration at the commune level and the extent of green areas determined using a newly proposed method, which relies on satellite imagery from the Copernicus program. The results indicate variability between these two datasets, depending on different forms of land cover within each administrative unit. The most consistent data is derived from large urban agglomerations in Poland.

中文翻译:


先进利用卫星和政府数据来确定波兰绿地的覆盖范围和状况:支持波兰统计局的实验统计数据



波兰统计局利用地球观测和现场数据来评估绿地,旨在获取有关自然资本统计和人类福祉的重要信息。这对于明智决策和可持续发展至关重要。由于波兰在环境福祉指标方面排名较低,因此改善地区福祉统计数据是当务之急。为了克服在社区层面获取综合数据的挑战,该研究引入了一种新的创新系统来监测绿地。该系统采用 Sentinel-2 卫星数据,结合哥白尼植被和物候学产品,以确定绿地的范围和状况。此外,所应用的土地覆盖产品(动态世界)和国家地形特征矢量数据库(BDOT10k)有助于提高分析的质量和准确性。该系统产生两个关键指标:一个描绘了公社边界内绿地面积的比例覆盖范围,另一个则阐明了这些划定区域的状况和健康状况。该系统的一个主要亮点是它创新地利用了当地资源和谷歌地球引擎应用程序,以 10 米分辨率观察社区层面的绿地,特别是在波兰的主要城市。这些观察结果对于波兰公共服务监测系统(SMUP)提供全面的地方级评估服务至关重要。研究成果包括对公社一级公共行政划定的绿地范围与使用新提出的方法确定的绿地范围进行比较,该方法依赖于哥白尼计划的卫星图像。 结果表明这两个数据集之间存在差异,具体取决于每个行政单位内不同形式的土地覆盖。最一致的数据来自波兰的大型城市群。
更新日期:2024-05-04
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