Scholarlink

Green roofs within urban tissue have proven to be a space-saving solution that has the potential to diminish the environmental problems of urban centers drastically. This research investigates the cooling effect of green roofs in the real case study of a medium-sized Italian city like Bolzano, combining Geographical Information Systems (GIS) and remote sensing technologies. Since 2004, the Bolzano municipality has forced RIE (Building Impact Reduction) index certification for all building interventions, leading to a large spread of green roofs and making Bolzano city the leader in Italy. At the mesoscale, time-series of different thermal satellite data sources (Landsat images TM, ETM + , OLI/TIRS, and Sentinel 2) and various geospatial approaches (multi-buffer ring) were used to assess the influence of spatiotemporal changes in green roof surfaces of Bolzano on Land Surface Temperature (LST) of urban area from 2004 to 2024, before and after implementation. The first result showed that the average LST difference before and after green roof implementation in the south district of Bolzano decreased by 1.5 °C.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quantitative Study on the Cooling Effect of Green Roofs in Bolzano City

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Stefania Pace,
  • Vincenzo Del Fatto,
  • Roberto Loperfido,
  • Katia Zanoner,
  • Stefano Fattor,
  • David Colmano

摘要

Green roofs within urban tissue have proven to be a space-saving solution that has the potential to diminish the environmental problems of urban centers drastically. This research investigates the cooling effect of green roofs in the real case study of a medium-sized Italian city like Bolzano, combining Geographical Information Systems (GIS) and remote sensing technologies. Since 2004, the Bolzano municipality has forced RIE (Building Impact Reduction) index certification for all building interventions, leading to a large spread of green roofs and making Bolzano city the leader in Italy. At the mesoscale, time-series of different thermal satellite data sources (Landsat images TM, ETM + , OLI/TIRS, and Sentinel 2) and various geospatial approaches (multi-buffer ring) were used to assess the influence of spatiotemporal changes in green roof surfaces of Bolzano on Land Surface Temperature (LST) of urban area from 2004 to 2024, before and after implementation. The first result showed that the average LST difference before and after green roof implementation in the south district of Bolzano decreased by 1.5 °C.