A multi-temporal image sample set for the composition classification of Taihu Wetland based on Sentinel-2
收藏科学数据银行2025-10-07 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=85792d0a89de4a76a81f201e6f5d499e
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资源简介：
The sample images were created by stacking the following layers in sequence: the median RGBN composite from June-September, median NDVI and NDWI from March-May, and median NDVI and NDWI from October-December. These layers were derived from 2024 Sentinel-2A/B imagery with cloud coverage less than 20%. After 4× upsampling, samples were collected as 32×32 pixel patches. The dataset encompasses ten ecological classes: Forest, Grassland, Bareland, Impervious Surface, Water, Cropland, Algal Bloom (AB), Emergent (EAV), Submerged (SAV), and Floating Aquatic Vegetation (FAV).The training and validation sets were divided in a 7:3 ratio. The training samples were augmented through 90°, 180°, and 270° rotations, as well as horizontal and vertical flipping.
提供机构：
Yuxuan Hu
创建时间：
2025-10-07
