training_samples_zarr_multiscale_soil_v11.9
收藏DataCite Commons2025-12-24 更新2026-05-05 收录
下载链接：
https://www.scidb.cn/detail?dataSetId=d32d4dac4463420682bd297d8d7520be
下载链接
链接失效反馈官方服务：
资源简介：
The dataset used in the crop yield prediction model (covering the contiguous United States) integrates NDVI, ERA5 meteorological data, and soil moisture data. It calculates indicators including monthly average temperature, monthly total precipitation, downward shortwave radiation, accumulated temperature, number of heat stress days, number of extreme rainfall days, length of drought periods, surface soil moisture (0–7 cm), and subsurface soil moisture (7–28 cm). For each indicator, three resolution channels are computed and stored to provide the model with a multi-scale receptive field.
提供机构：
Science Data Bank
创建时间：
2025-12-24
