Permafrost monitoring and classifying method based on passive microwave remote sensing

Abstract

The invention provides a permafrost monitoring and classifying method based on passive microwave remote sensing. The permafrost monitoring and classifying method comprises the following steps: step 1, acquiring a near-surface soil freezing state by using a discrimination algorithm; step 2, based on the near-surface soil freezing state obtained in the step 1, establishing a freezing index method based on the near-surface soil freezing state; and step 3, establishing a relation model between the freezing index and the annual average temperature based on the surface soil freeze-thaw state through meteorological station data, obtaining a freezing index threshold of permafrost classification, and performing monitoring and classification in combination with a permafrost thermal stability zoning theory.

Description

technical field [0001] The invention relates to the field of remote sensing monitoring, in particular to a method for remote sensing monitoring and classification of permafrost. Background technique [0002] Permafrost is an important component of the cryosphere, and its formation and development are influenced and determined by various geographical, geological and meteorological factors. Due to the wide area of ​​permafrost and the harsh development environment, it is difficult to obtain its spatial distribution through ground sampling surveys of permafrost characteristics. With the accumulation of observational data and the advancement of technical means, some methods or models for estimating permafrost distribution using existing observational data sets (such as surface temperature, vegetation cover, etc.) have been proposed. Cold climate conditions are the basic elements for the formation and development of permafrost. The southern boundary of high-latitude permafrost ...

AI Technical Summary

Problems solved by technology

[0005] Permafrost usually develops below the surface. In the permafrost monitoring method based on optical remote sensing, the use of visible light and infrared sensors for monitoring has great limitations:

[0006] 1) Visible light remote sensing satellites have a long return visit period and are easily affected by clouds;

[0007] 2) Research on permafrost in local areas is difficult to popularize and apply;

[0008] 3) Although the development and spatiotemporal evolution of permafrost are affected by altitude, latitude, topography, and climatic conditions, permafrost mapping can be carried out through the correlation between permafrost distribution characteristics and various environmental variables, but the complexity of permafrost Physical structure, soil environment, and spatial heterogeneity bring great uncertainty to the study of permafrost monitoring using optical sensors

As a tentative study of permafrost monitoring based on passive microwave remote sensing, this method has no perfect theoretical basis and is difficult to be popularized and applied.

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