Remote Sensing for Flood Mapping and Monitoring-Reference-Cited by-同舟云学术

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Remote Sensing for Flood Mapping and Monitoring

Published:2023 Issue: Volume: Page:679-697
ISSN:
Container-title:International Handbook of Disaster Research
language:
Short-container-title:

Author:

Sadiq Rizwan,Imran Muhammad,Ofli Ferda

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8388-7_178

Reference77 articles.

1. Ahmad, D., & Afzal, M. (2019). Household vulnerability and resilience in flood hazards from disaster-prone areas of Punjab, Pakistan. Natural Hazards, 99(1), 337–354.

2. Akiva, P., et al. (2021). H2O-Net: Self-supervised flood segmentation via adversarial domain adaptation and label refinement. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 111–122).

3. Anonymous, A. (2007). Handbook on good practices for flood mapping in Europe. In: CD of project.

4. Bai, Y., et al. (2021). Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms: Demonstration of sen1floods11 benchmark datasets. Remote Sensing, 13(11), 2220.

5. Banerjee, S., & Pandey, A. C. (2019). Crop insurance model to consolidate academia-industry cooperation: A case study over Assam, India. Spatial Information Research, 27(6), 719–731.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Segmentation and Visualization of Flooded Areas Through Sentinel-1 Images and U-Net;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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