黄土高原1:25万地貌数据库

数据为黄土高原地区的精细地貌数据，解译过程主要借助于高精度DEM数据和山地垂直分类原则判定山地地貌类型界线和属性，基于资三和Landsat8等多源遥感影像的色调、纹理和结构差异判断平原微地貌类型界线和属性，基于地质数据的物质组成和岩性等特征判断和推断地貌类型成因信息，地貌数据的精度可达1:25万。数据共享方式为完全开放共享。This dataset comprises high-resolution geomorphic data for the Loess Plateau region. The interpretation process primarily relies on high-precision DEM data and the mountain vertical classification principle to determine the boundaries and attributes of mountain geomorphic types. Based on the tonal, textural and structural differences of multi-source remote sensing images including ZY-3 and Landsat 8, the boundaries and attributes of plain micro-landform types are identified. Information on the genesis of geomorphic types is determined and inferred based on characteristics such as material composition and lithology from geological data. The accuracy of this geomorphic data can reach the 1:250,000 scale. The dataset is fully and openly shared.