August 15, 2025WaterOpen Access

Rapid Flood Mapping and Disaster Assessment Based on GEE Platform: Case Study of a Rainstorm from July to August 2024 in Liaoning Province, China

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WSWei Shan JLJiawen Liu YGYing Guo

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Implication

This research demonstrates enhanced flood mapping using synthetic aperture radar in Liaoning Province, suggesting improved disaster management strategies.

Key Points

Flood mapping during heavy rainfall effectively achieved over 85% open-water accuracy using Otsu thresholding for rapid assessment.
Utilizing random forest classification, the framework distinguished between flooded areas and permanent water bodies with an accuracy of 92.7%.
Combining multiple algorithms, including Fuzzy C-Means, enabled precise flood boundary mapping and clarification of mixed-pixel issues.
This integrated framework supports effective emergency response and sustainable management of water resources in flood-affected areas.

Cite This Study

Shan et al. (2025) studied this question.

synapsesocial.com/papers/68af3e49cf1dd9ea359eb70c https://doi.org/10.3390/w17162416

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Implication

This research demonstrates enhanced flood mapping using synthetic aperture radar in Liaoning Province, suggesting improved disaster management strategies.

Rapid Flood Mapping and Disaster Assessment Based on GEE Platform: Case Study of a Rainstorm from July to August 2024 in Liaoning Province, China

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Implication

Key Points

Cite This Study

Rapid Flood Mapping and Disaster Assessment Based on GEE Platform: Case Study of a Rainstorm from July to August 2024 in Liaoning Province, China

Discussion

Member takes

Implication

Key Points

Cite This Study

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