QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA
Climate change poses a significant threat to humans and biodiversity, impacting various aspects of livelihoods, infrastructure, and ecosystems. Understanding climate change and its interaction with the environment is crucial for achieving Sustainable Development Goals. Local Climate Zones (LCZ) play...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/111/2023/isprs-archives-XLVIII-1-W2-2023-111-2023.pdf |
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| author | D. Oxoli J. R. Cedeno Jimenez E. Capizzi M. A. Brovelli M. Siciliani de Cumis P. Sacco D. Tapete |
| author_facet | D. Oxoli J. R. Cedeno Jimenez E. Capizzi M. A. Brovelli M. Siciliani de Cumis P. Sacco D. Tapete |
| author_sort | D. Oxoli |
| collection | DOAJ |
| description | Climate change poses a significant threat to humans and biodiversity, impacting various aspects of livelihoods, infrastructure, and ecosystems. Understanding climate change and its interaction with the environment is crucial for achieving Sustainable Development Goals. Local Climate Zones (LCZ) play a key role in comprehending climate change by categorizing urban areas also based on their thermal characteristics. This study presents prototype open-source software tools developed to integrate ground and satellite data for LCZ analysis in the Metropolitan City of Milan (Northern Italy). These tools consist of a QGIS plugin to access and preprocess ground-based meteorological sensor data and a client-server platform, based on the Open Data Cube and Docker technologies, for the exploitation of multispectral and hyperspectral satellite data in LCZ mapping and analysis. The tools’ architecture, data retrieval methods, and analysis capabilities are described in detail. The QGIS plugin facilitates the access and preprocessing of ground-based sensor data within the user-friendly QGIS environment. The platform enables seamless ground-sensor and satellite data management and analysis, using Jupyter Notebooks as an interface to support programmatic operations on the data. The proposed tools provide a framework for studying climate change and its local impacts on urban environments, with the potential of empowering users to effectively analyze and mitigate its effects. |
| first_indexed | 2024-03-08T23:46:01Z |
| format | Article |
| id | doaj.art-ce95fe4104e64ddd936258590592ba28 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-08T23:46:01Z |
| publishDate | 2023-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-ce95fe4104e64ddd936258590592ba282023-12-13T23:20:18ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-12-01XLVIII-1-W2-202311111610.5194/isprs-archives-XLVIII-1-W2-2023-111-2023QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATAD. Oxoli0J. R. Cedeno Jimenez1E. Capizzi2M. A. Brovelli3M. Siciliani de Cumis4P. Sacco5D. Tapete6Dept. of Civil and Environmental Engineering, Politecnico di Milano, Milano Leonardo. Milan, ItalyDept. of Civil and Environmental Engineering, Politecnico di Milano, Milano Leonardo. Milan, ItalyDept. of Civil and Environmental Engineering, Politecnico di Milano, Milano Leonardo. Milan, ItalyDept. of Civil and Environmental Engineering, Politecnico di Milano, Milano Leonardo. Milan, ItalyItalian Space Agency (ASI), Matera, ItalyItalian Space Agency (ASI), Matera, ItalyItalian Space Agency (ASI), Roma, ItalyClimate change poses a significant threat to humans and biodiversity, impacting various aspects of livelihoods, infrastructure, and ecosystems. Understanding climate change and its interaction with the environment is crucial for achieving Sustainable Development Goals. Local Climate Zones (LCZ) play a key role in comprehending climate change by categorizing urban areas also based on their thermal characteristics. This study presents prototype open-source software tools developed to integrate ground and satellite data for LCZ analysis in the Metropolitan City of Milan (Northern Italy). These tools consist of a QGIS plugin to access and preprocess ground-based meteorological sensor data and a client-server platform, based on the Open Data Cube and Docker technologies, for the exploitation of multispectral and hyperspectral satellite data in LCZ mapping and analysis. The tools’ architecture, data retrieval methods, and analysis capabilities are described in detail. The QGIS plugin facilitates the access and preprocessing of ground-based sensor data within the user-friendly QGIS environment. The platform enables seamless ground-sensor and satellite data management and analysis, using Jupyter Notebooks as an interface to support programmatic operations on the data. The proposed tools provide a framework for studying climate change and its local impacts on urban environments, with the potential of empowering users to effectively analyze and mitigate its effects.https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/111/2023/isprs-archives-XLVIII-1-W2-2023-111-2023.pdf |
| spellingShingle | D. Oxoli J. R. Cedeno Jimenez E. Capizzi M. A. Brovelli M. Siciliani de Cumis P. Sacco D. Tapete QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA |
| title_full | QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA |
| title_fullStr | QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA |
| title_full_unstemmed | QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA |
| title_short | QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE DATA |
| title_sort | qgis and open data cube applications for local climate zones analysis leveraging prisma hyperspectral satellite data |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/111/2023/isprs-archives-XLVIII-1-W2-2023-111-2023.pdf |
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