International Journal of Applied Earth Observations and Geoinformation (Jun 2024)

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

  • Ewa Panek-Chwastyk,
  • Katarzyna Dąbrowska-Zielińska,
  • Anna Markowska,
  • Marcin Kluczek,
  • Marek Pieniążek

Journal volume & issue
Vol. 130
p. 103883

Abstract

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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.

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