The 1:1 million soil database in the upper reaches of the Yellow River is cut from the 1:1 million Chinese soil database. 1: The 1 million soil database of China was compiled according to the soil map of the people's Republic of China (1:1 million) compiled and published by the National Soil Census Office in 1995. The database uses the traditional system of soil genetic classification. The basic mapping unit is subclass, which is divided into 12 soil classes, 61 soil classes and 227 subclasses. It basically covers all types of soil and its main attribute data in China.
|collect time||1995/01/01 - 1995/12/01|
|data size||5.5 MB|
The soil spatial database, i.e. the national 1:1 million digital soil map, is based on the soil map of the people's Republic of China (1:1 million) compiled and published by the national census offices in 1995, which has been completed after digital processing, map sheet connection and editing. The digital soil map reflects the face of the original soil map truthfully and inherits the mapping unit of the original soil map. Most of the basic mapping units are soil genera, which are divided into 12 soil classes, 61 soil classes and 235 sub classes. It is the only and most detailed digital soil map in China at present.
China's 1:1 million soil database is an innovative research group of soil resources and digital management, which is led by the research fellow of Nanjing Soil Research Institute of Chinese Academy of Sciences. It has been established for four years. The database consists of two parts: soil spatial database and soil attribute database. The establishment of the database was supported by the knowledge innovation program of the Chinese Academy of Sciences and completed under the leadership of Liu Jiyuan and Zhuang Dafang.
Soil type and soil attribute is an important content in the study of physical geography. With the help of 1:1 million soil database in the upper reaches of the Yellow River, we can understand and analyze the type, quantity and spatial distribution of soil resources in the upper reaches of the Yellow River, as well as the soil forming environment and characteristics. The data set is of great significance for the prediction of soil erosion and natural disasters in the upper reaches of the Yellow River.
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