%0 Dataset
%T Vectorization dataset of Chinese Loess Plateau dam extracted based on object classification method
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/c0c7b62c-d488-49f5-958b-6aad5b5d77f8
%W NCDC
%R 10.5281/zenodo.7857443
%A Fang Nufang
%K Object oriented classification;Loess Plateau;Barrage;Threshold segmentation
%X This dataset is the first vectorized dataset of silt soil formed by inspection dams on CLP, combining high-resolution and easily accessible Google Earth images with object-based classification methods. This not only provides basic information for accurately assessing the ecosystem service functions of water retaining dams, but also helps to interpret the current changes in sediment transport in the Yellow River and plan future soil and water conservation projects.   The vectorized dataset format for dam sites is shapefile (. shp), where each record is depicted as a face and includes subsequent attributes such as longitude, latitude, dam site area, dam site perimeter, sediment quantity, and sediment quality. In the attribute table, the fields Area (unit: m2) and Shape_Leng (unit: m) represent the area and perimeter of the dam surface, calculated in WGS1984-EASE-GrideGlobal coordinates; The field volume (unit: m2) and mass (unit: m) represent the sediment retention and mass of the inspection dam.