Satellite video remote sensing for flood model validation

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).

本仓库收录了一项研究所用的数据与脚本，该研究采用卫星视频遥感（satellite video remote sensing）技术，对澳大利亚墨累-达令（Murray-Darling）流域蒂尔帕（Tilpa）河段的达令河（Darling River）水动力模型进行验证。本仓库涵盖多类资料，包括2022年2月5日世界协调时（UTC）23:12获取的洪水卫星视频影像、该洪水的HEC-RAS 2D模型模拟数据与结果，以及通过深度学习技术提取的洪水淹没范围。本次研究所用的深度学习Python脚本已包含在内；出于实际运行需求，用户需配置Python 3.x、PyTorch 2.x及其他特定依赖库方可运行该脚本，具体配置细节详见脚本内部说明。