x-harvey

This dataset captures the impact of Hurricane Harvey, a Category 4 hurricane that caused catastrophic flooding in Texas and Louisiana in August 2017, resulting in over 100 fatalities. It focuses on affected areas of Houston, Texas, originally divided into east and west regions with 469 and 461 Sentinel-2 image tiles, respectively.
<br>
Each tile includes pre- and post-flood Sentinel-2 images, SAR coherence and intensity images, and building footprints marking damaged and undamaged structures before and after the disaster, provided at three spatial resolutions (1m, 2m, and 10m). Building footprints were sourced from OpenStreetMap, and flooded building labels were crowd-sourced via the MAXAR open data program.
<br>
In this version, the original train/test split has been adjusted to new train, validation, and test sets to reduce distribution shifts and improve model evaluation. The very high-resolution WorldView imagery (2262×1972 pixels at 1m resolution) has been excluded.
<br>
This dataset is used primarily for segmentation and change detection tasks related to flood impact assessment.

搜集汇总

背景与挑战

背景概述

x-harvey数据集记录了2017年飓风哈维对休斯顿地区的影响，包含Sentinel-2图像、SAR数据和建筑物足迹，用于洪水影响评估的分割和变化检测任务。数据集提供了三种空间分辨率（1m、2m和10m）的图像，并调整了训练、验证和测试集的划分以提高模型评估效果。