%0 Dataset
%T AI-Ready Standardized Semantic Segmentation Dataset for the silted land formed by check dams in the Loess Plateau
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/7dd767bb-1be8-414e-a800-3a4291bfd39d
%W NCDC
%R 10.12072/ncdc.dpsl.db6865.2025
%A LIU Jingqi
%K Semantic segmentation;Loess Plateau dam land;soil and water conservation
%X As a critical soil and water conservation project in the Loess Plateau region, check dams play a central role in controlling soil erosion and ensuring regional food security. However, their intelligent management has long been constrained by technical bottlenecks such as inefficient data acquisition, insufficient model generalization capabilities, and lack of standardized datasets. This study utilized 0.75-meter high-resolution Jilin-1 remote sensing imagery to construct an AI-ready standardized semantic segmentation dataset targeting the Jiuyuangou watershed, a typical watershed in the Loess Plateau.