该数据集由2968个训练图像对和847个测试图像对组成。对于每对训练数据，提供原始图像及其对应的语义变化图。目前仅训练集公开图像及对应标签，测试图像标签未公开。这些图像对的分辨率在0.5~3m之间，大小为512×512像素，涵盖了六种类型的土地覆盖类型，即水、地面、低植被、树木、建筑和游乐场，总共有31种“从A到B”变化类型。
该数据集包含来自 IGS 的 BD ORTHO 数据库的 291 个 RGB 航空图像的联合配准图像对。数据集分为五个部分：2006年图片、2012年图片、更改标签、2006年土地覆盖地图、2012年土地覆盖地图，主要关注五类变化，分别是人造表面、农业区、森林、湿地、水。
Landsat SCD数据集由8468对图像组成，每个图像的固定大小为416×416像素，分辨率为30m。该数据集涉及一个无变化类别和四个土地覆盖类别，包括农田、沙漠、建筑物和水。
- Guangzhou dataset【hn8p】 | paper
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