Determination of permafrost distribution using conditions of heat, soil moisture and slope position

In order to study the near-surface permafrost distribution space, field survey and sampling method are used to study the issue. The area of Great Hingan Mountains in Northeastern China is high-latitude permafrost region. The conditions of heat, soil moisture and landform are used to predict the presence or absence of permafrost table within 1.5m below the ground surface over the area of Huzhong National Reserve by Erdas software. The input conditions of classification includes equivalent latitude, wide swath image of ASAR sensor and slope position. This classification result accuracy which is better than the classification result by equivalent latitude method is up to 86.2%. Simultaneously, the results indicate that the correlativity between soil moisture and permafrost table is good. When the soil becomes drier, the permafrost table will be deeper. Thus the condition of soil moisture in Huzhong National Reserve is an important indicator of permafrost.