Rapid flood mapping using SAR images | | UPV

Título: Rapid flood mapping using SAR images
Descripción: Ruiz Fernández, Luis Ángel;
This video describes a methodology for rapid flood mapping using synthetic aperture radar images (SAR), and shows a case study. First, a description of the preprocessing steps of SAR images (radiometric and geometric corrections and statistical filters to reduce speckle noise). Two change detection methods are explained. A description of evaluation indices which can be used in change detection, and finally a case study of flood mapping using Sentinel-1 images.
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Descripción automática: In this video, a methodology for mapping floods using Synthetic Aperture Radar (SAR) images is described, along with a case study.
The presentation covers four parts: preprocessing steps for SAR images, including geometric and radiometric corrections and statistical filters to reduce speckle noise; standard change detection methods based on image differencing and thresholding, and supervised classification; identification of evaluation indices; and a case study in rapid flood mapping using Sentinel-1 images.
The video explains the importance of correcting geometric and radiometric distortions in SAR images, and demonstrates the use of statistical filters to reduce speckle noise. It also presents two change detection methods: image differencing with thresholding, and supervised classification.
A real-world case study is presented, where Sentinel-1 images are used to detect and map floods in the Ebro river basin in Spain. The results show the effectiveness of using SAR images for rapid flood mapping, and highlight the importance of preprocessing steps and change detection methods in achieving accurate results.
Autor/a: Ruiz Fernández Luis Ángel
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#Remote sensing #Radar images #Flood mapping #ECONOMIA # SOCIOLOGIA Y POLITICA AGRARIA #