Large-scale, multi-temporal remote sensing of palaeo-river networks

JavaScript code to be implemented in Google Earth Engine(c) for large-scale, multi-temporal remote sensing of palaeo-river networks.<br/>

<br>This research presents a seasonal multi-temporal approach to the detection of palaeo-rivers over large areas based on long-term vegetation dynamics and spectral decomposition techniques. Twenty-eight years of Landsat 5 data, a total of 1711 multi-spectral images, have been bulk processed using Google Earth Engine© Code Editor and cloud computing infrastructure.<br/>

本研究针对古河道网络（palaeo-river networks）的大范围多时相遥感任务，开发了可在谷歌地球引擎（Google Earth Engine）中运行的JavaScript代码。基于长期植被动态与光谱分解技术，本研究提出了一种适用于大范围区域的古河道季节性多时相探测方法。研究借助谷歌地球引擎代码编辑器与云计算基础设施，对28年的陆地卫星5号（Landsat 5）数据（共计1711景多光谱影像）完成了批量处理。