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VOL. 7, ISSUE 3 (2025)
Theoretical review of multisensory data fusion for urban resilience and climate adaptation using remote sensing
Authors
Fatima Zareen
Abstract
As rapid urbanisation and intensifying climate variability are exposing
cities—particularly in developing countries like India—to rising risks such as
heatwaves, floods, and infrastructure stress. The paper itself presents a
review of theoretical advancements in Multisensory Data Fusion (MSDF) and its
role in urban resilience and climate adaptation. MSDF integrates data from
satellites, UAVs, LiDAR, radar, and ground-based IoT sensors to provide a
richer, multi-layered understanding of urban environments. It examines evolving
fusion paradigms or models (pixel, feature, and decision-level), sensor
interoperability, semantic harmonisation, and the integration of artificial
intelligence (AI) models. It especially highlights practical applications in
heat stress mitigation, flood risk management, and infrastructure vulnerability
assessment, and also addressing persistent challenges including data inequity,
computational intensity, and ethical concerns around citizen-sourced data. By
adapting theoretical perspectives with urban policy needs and this review
underscores MSDF as both a methodological innovation and a strategic tool for
building climate-resilient for inclusive cities.
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Pages:110-116
How to cite this article:
Fatima Zareen "Theoretical review of multisensory data fusion for urban resilience and climate adaptation using remote sensing". International Journal of Ecology and Environmental Sciences, Vol 7, Issue 3, 2025, Pages 110-116
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