Satellite video remote sensing for flood model validation

Masafu, C. K. and Williams, R. (2023) Satellite video remote sensing for flood model validation. [Data Collection]

Collection description

This repository contains data and scripts for an investigation that used satellite video remote sensing to validate a hydraulic model of the Darling River at Tilpa, Murray-Darling basin, Australia. It encompasses a range of materials, including satellite video footage of a flood (acquired 5 February 2022, 23:12 UTC), data and results from HEC-RAS 2D model simulations of the flood, as well as flood extents derived through the use of deep learning techniques. The Python script used for deep learning is included (for practical considerations, users will need Python 3.x and PyTorch 2.x, alongside other specific libraries, for running the deep learning script, details of which are described in the script itself).

College / School: College of Science and Engineering > School of Geographical and Earth Sciences
Date Deposited: 20 Nov 2023 12:10
URI: http://researchdata.gla.ac.uk/id/eprint/1537

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Masafu, C. K. and Williams, R. (2023); Satellite video remote sensing for flood model validation

University of Glasgow

DOI: 10.5525/gla.researchdata.1537

Retrieved: 2024-02-23

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