Monitoring Myanmar’s Complex Water Networks with an Adaptive Interwoven Deep Learning Framework and Multi-Source Remote Sensing

The dataset contains 2372 samples, each with dimensions of 128×128×8 pixels, corresponding to the same number of labels, with label dimensions of 128×128×1 pixels. The spatial resolution of the samples is 30-meters/pixel, suitable for land surface feature analysis. The labels use binary classification, where 0 represents non-water bodies and 1 represents water bodies. The data comes from Landsat-8 satellite imagery, applicable for water body detection, environmental monitoring, and related research.

本数据集共计2372个样本，单一样本维度为128×128×8像素，对应等量的标注标签，标签维度为128×128×1像素。样本的空间分辨率为30米/像素，适用于地表特征分析。标签采用二分类标注，其中0代表非水体，1代表水体。本数据集的数据源自Landsat-8卫星影像，可应用于水体检测、环境监测及相关研究领域。