Smart City Gnosys
Smart city article details
| Title | Smart Remote Sensing Networks |
|---|---|
| ID_Doc | 51371 |
| Authors | Popov M.O.; Stankevich S.A.; Khyzhniak A.V.; Tomchenko O.V. |
| Year | 2025 |
| Published | Digital Twin and Blockchain for Sensor Networks in Smart Cities |
| DOI | http://dx.doi.org/10.1016/B978-0-443-30076-9.00025-X |
| Abstract | The possibilities of modern remote sensing systems for information support of a smart city are considered and demonstrated in a case study. The foundations of remote monitoring buildings, green spaces, water bodies, temperature fields and the atmosphere are integrated within the framework of a general workflow for the condition assessment of urban environment. The technical specifications and performance of modern satellite systems and aerial drones for the parameters' acquisition of urban environment are presented. A quantitative estimation of habitation, vegetation, water, thermal profile, and air quality over the Kyiv metropolis area (Ukraine) was carried out, and the fused favorable probabilities’ time series was analyzed. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. |
| Author Keywords | condition assessment; data fusion; probabilistic geospatial model; remote sensing; Smart city monitoring; urban environment |
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