Improving Flood Monitoring Through Advanced Modeling of Sentinel-1 Multi-Temporal Stacks-Reference-Cited by-同舟云学术

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Improving Flood Monitoring Through Advanced Modeling of Sentinel-1 Multi-Temporal Stacks

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Refice A.¹,D'Addabbo A.¹,Lovergine F.P.¹,Bovenga F.¹,Nutricato R.²,Nitti D.O.²

Affiliation:

1. CNR-IREA,Bari,Italy

2. GAP s.r.l.,Bari,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883943.pdf?arnumber=9883943

Reference10 articles.

1. Probabilistic mapping of flood-induced backscatter changes in SAR time series

2. DAFNE: A Matlab toolbox for Bayesian multi-source remote sensing and ancillary data fusion, with application to flood mapping

3. Ker-nel Interpolation for Scalable Online Gaussian Processes;stanton;International Conference on Artificial Intelligence and Statis-tics,0

4. Flood detection from multi-temporal SAR data using harmonic analysis and change detection

Cited by 3 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. Exploring the Potential of Multi-Sensor and Multi-Scale Remotely Sensed Data Integration to Improve Flood Monitoring;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks;Remote Sensing;2024-01-11

3. A Novel Shipyard Production State Monitoring Method Based on Satellite Remote Sensing Images;Remote Sensing;2023-10-13

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