| Title |
Multi-Modal Geospatial And Thematic Data To Foster Green Deal Applications |
| ID_Doc |
62849 |
| Authors |
Beber, R; Perda, G; Takhtkeshha, N; Remondino, F; Maffei, T; Poli, D; Moe, K; Cipriano, P; Ciliberti, M |
| Title |
Multi-Modal Geospatial And Thematic Data To Foster Green Deal Applications |
| Year |
2023 |
| Published |
|
| DOI |
10.5194/isprs-archives-XLVIII-1-W3-2023-9-2023 |
| Abstract |
The Urban Data Space for Green Deal - USAGE - project is founded by the European Union (EU) to support the green transition of cities. Within USAGE, a series of geospatial, thematic and other datasets have been newly acquired or created to test and evaluate solutions (i) to better understand issues and trends on how our planet and its climate are changing and (ii) to address the role that humans play in these changes, e.g., with behaviour adaptation and mitigation actions. The paper aims to provide some relevant datasets collected in two urban areas, reporting processing methodologies and applications of analysis-ready and decision-ready geospatial data. The shared data are unique urban datasets due to their resolutions and sensors type and could boost progresses of geospatial procedures to create and use data useful for climate change adaptation, renewable energy monitoring and management, etc. |
| Author Keywords |
Photogrammetry; LiDAR; hyperspectral; thermal; mapping; 3D; dataset; Green Deal; climate change |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001185637500002 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology |
| Research Area |
Computer Science; Geology; Remote Sensing; Imaging Science & Photographic Technology |
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