Multi-source distributed remote sensing discrimination method and system for geothermal resources

Abstract

The present invention relates to a multi-source distributed remote sensing discrimination method and system for geothermal resources. The method includes: a data acquisition step for acquiring multi-source remote sensing image data; a data processing step including performing temperature and Emissivity separation algorithm and color coding and mapping processing to obtain temperature color coded image information; establish geological structure interpretation signs of geothermal resources for radar remote sensing image data and perform geological structure interpretation; establish remote sensing stratigraphic rock information for high resolution remote sensing image data In the data integration step, the three-way information obtained in the data processing step is superimposed, projected and registered, and the location of geothermal resources is obtained by integration, realizing the multi-source distribution of geothermal resources Remote sensing discrimination. The method realizes the accurate discrimination of geothermal resources through the processing, interpretation and integration of multi-source remote sensing image data.

Description

technical field [0001] The invention relates to the field of remote sensing technology and application, in particular to a multi-source distributed remote sensing discrimination method and system suitable for geothermal resources. Background technique [0002] Geothermal resources are a new type of energy and resources that can be regenerated and reused. It is generally believed that geothermal resources originate from the decay of deep lava and radioactive elements in the earth. Groundwater circulation, capillary action, fractures, and magmatic activities can bring thermal energy from the ground to the surface, forming a thermal gradient between the surface and a certain depth underground. The thermal emissivity and temperature parameters of surface materials detected by thermal infrared remote sensing technology are used. The temperature and emissivity separation algorithm of infrared remote sensing can quickly detect the surface temperature, and the thermal infrared remot...

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Problems solved by technology

[0004] The present invention aims at the prior art by combining geological interpretation and temperature interpretation of multi-spectral remote sensing image data to carry out remote sensing research on geothermal resources, only the fault structure on the surface can be obtained, resulting in unsatisfactory application effect and mutual verification of remote sensing image data. As well as the problem of low identification accuracy, a multi-source distributed remote sensing identification method for geothermal resources is provided, and the accurate identification of geothermal resources is realized through the processing, interpretation and integration of multi-source remote sensing image data

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