Method and system for obtaining inversion of mountainous soil layer thickness

CN116878400BActive Publication Date: 2026-08-28GEOLOGICAL PROSPECTING TECH INST BEIJING
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Patent Information

Application Number
CN202310775206.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-28
Publication Date
2026-08-28
Estimated Expiration
2043-06-28

AI Technical Summary

Technical Problem

[0008]本发明提供一种反演山区土层厚度的获取方法,解决现有土壤厚度获取方法采用调查和插值相结合的方式,带来的获取难度大、误差大且成本高的问题

Benefits of technology

[0044]1、现有反演山区的土层厚度方法检测出的土层厚度,需要大量土壤采样点为基础,有的为了实现准确度,会在面积为100平方公里的区域内设置至少1000个采集点,使得大大地增加了野外调查工作量,增加检测成本。本发明提供一种反演山区土层厚度的获取方法,采用遥感影像数据,并对所述遥感影像进行处理,获得植被覆盖度数据,同时结合少量的野外采样点,即,在面积为100平方公里的区域内只需设置150个野外采样点就能反演出全域的土壤厚度值,大大节省了野外调查工作量,节约了人力物力。

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Abstract

The application relates to a method and system for obtaining soil thickness in mountainous areas, and relates to the technical field of geological exploration. The method is characterized in that: a remote sensing image of a mountainous area is obtained, and the remote sensing image is filtered to obtain high-precision remote sensing image data; the high-precision remote sensing image data is interpreted to obtain a vegetation coverage degree map; the vegetation coverage degree map is extracted to obtain vegetation coverage degree data; soil thickness data measured in field work is obtained, and the soil thickness data and the vegetation coverage degree data are processed to obtain relationship data between the vegetation coverage degree data and the soil thickness; a soil thickness map of the mountainous area is obtained according to the relationship data between the vegetation coverage degree data and the soil thickness and the vegetation coverage degree map; and soil layer thickness values are obtained according to the soil thickness map. The application is suitable for the technical field of soil layer thickness detection in mountainous areas.
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Citation Information

Patent Citations

  • Soil thickness inversion method based on remote sensing data

    CN105528523A

  • Soil nitrogen estimation method based on vegetation coverage

    CN113624716A