What question did this study set out to answer?

This review aims to synthesize advancements in flood remote sensing and their relevance to disaster risk reduction.

July 23, 2026Journal of Flood Risk ManagementOpen Access

Floods From Space: How Remote Sensing, AI , and Cloud Platforms Are Reshaping Disaster Risk Reduction

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Authors

RKRicky Anak KemarauNational University of Malaysia NMNurfashareena MuhamadNational University of Malaysia ASAida Soraya ShamsuddinNational University of Malaysia

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Implication

Review systematically analyzes how remote sensing improves flood monitoring in climate change contexts, highlighting implications for disaster risk reduction.

Key Points

This review aims to synthesize advancements in flood remote sensing and their relevance to disaster risk reduction.
Analyzed 176 peer-reviewed studies published between 2001 and 2024 following PRISMA guidelines.
Examined sensor integration pathways, temporal evolution, and decision-making relevance.
Identified trends in multi-sensor approaches and the role of artificial intelligence in flood analysis.
A marked increase in multi-sensor approaches post-2018, especially in fusion frameworks.
Synthetic Aperture Radar (SAR) integration systems dominated recent applications, combined with precipitation and digital elevation models.
Indicates a shift from static flood mapping to process-aware, algorithm-driven flood intelligence systems.

Cite This Study

Kemarau et al. (2026) studied this question.

synapsesocial.com/papers/6a61b02ffaa9903c5116ac40 https://doi.org/10.1111/jfr3.70214

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Implication

Review systematically analyzes how remote sensing improves flood monitoring in climate change contexts, highlighting implications for disaster risk reduction.

Floods From Space: How Remote Sensing, AI , and Cloud Platforms Are Reshaping Disaster Risk Reduction

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Implication

Key Points

Cite This Study

Floods From Space: How Remote Sensing, AI , and Cloud Platforms Are Reshaping Disaster Risk Reduction

Discussion

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Implication

Key Points

Cite This Study

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