Flood detection and mapping through multi-resolution sensor fusion: integrating UAV optical imagery and satellite SAR data

Details

• Journal Title:
  Geomatics, Natural Hazards and Risk
• Personal Author:
  Fawakherji, Mulham ; Hashemi-Beni, Leila
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office)
• Description:
  Remote sensing has advanced significantly with the increasing number of satellites in orbit and those scheduled for launch, alongside emerging proximate sensing platforms that provide data on Earth phenomena in diverse spectrums, spatial resolutions, and temporal intervals. Despite these variations, all these datasets represent the same physical environment. The challenge lies in effectively managing these diverse data sources and extracting the optimal combination of information. Data fusion offers a powerful solution for integrating and utilizing this wide array of remotely sensed data.
• Source:
  Geomatics, Natural Hazards and Risk, 16(1)
• DOI:
  https://doi.org/10.1080/19475705.2025.2493225
• ISSN:
  1947-5705 ; 1947-5713
• Format:
  pdf
• Publisher:
  Informa UK Limited
• Document Type:
  Journal Article
• Funding:
  Grant no. NA21OAR4590358
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:2bfbbaadb27908288ed2810ebd42b47f55e5b69ad3cff3502d5d768d771aa933f2ac823a83808698f791a89f7202a62daf64feab4c441f24ef0e51dbeeb53a4c
• Download URL:
  https://repository.library.noaa.gov/view/noaa/73126/noaa_73126_DS1.pdf
• File Type:
  [PDF - 1.91 MB ]