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GNSS-R accumulated snow detection method based on support vector machine

A support vector machine and detection method technology, which is applied to measuring devices, computer components, rainfall/precipitation gauges, etc., can solve the problems of inability to observe abnormal data and limited accuracy of snow depth inversion results, and reduce the The effect of inversion error

Pending Publication Date: 2022-04-01
SHANGHAI OCEAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing artificial means cannot observe abnormal data from the collected signal-to-noise ratio data, which limits the accuracy of snow depth inversion results

Method used

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  • GNSS-R accumulated snow detection method based on support vector machine
  • GNSS-R accumulated snow detection method based on support vector machine
  • GNSS-R accumulated snow detection method based on support vector machine

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Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0023] specifically, figure 1 The block diagram of the GNSS-R snow detection method based on the support vector machine provided by the embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0024] S1: Select the experimental area;

[0025] Specifically, the P351 observation site of the plate boundary observation program of the United States is located in Ketchum, Montana, USA (43.87441° north latitude, 114.71916° west longitude, 2692.6m above sea le...

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Abstract

The invention provides a GNSS-R accumulated snow detection method based on a support vector machine. The method comprises the following steps: selecting an experimental area; respectively collecting satellite navigation signal-to-noise ratio data when snow is accumulated on the ground and the ground is exposed; processing the acquired signal-to-noise ratio data according to the GNSS orbit parameters; and selecting signal-to-noise ratio data according to quality control requirements, and using the selected signal-to-noise ratio data as an input sample of a support vector classifier to classify and predict whether accumulated snow exists on the ground or not. According to the GNSS-R accumulated snow detection method based on the support vector machine, high-precision ground accumulated snow detection can be realized.

Description

technical field [0001] The invention relates to the technical field of snow detection, in particular to a GNSS-R snow detection method based on a support vector machine. Background technique [0002] Snow is an important freshwater resource and an important part of the earth's ecological environment. It is closely related to human survival and social development. With global warming, snowfall will also be affected as part of the cryosphere and climate cycle, and severe snowfall will cause traffic congestion, difficulty in crop growth and ecological environment imbalance. Studying snow depth is helpful for surface climate and hydrology research, and is also an important indicator for snowmelt runoff forecast and snow disaster prevention and control. Therefore, obtaining snow depth data with high precision and quickly is not only beneficial to the survival and development of human beings, but also beneficial to monitoring changes in nature, which is of considerable significa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/14G01S19/42G06K9/62
Inventor 胡媛袁鑫泰刘卫江志豪吴林晋
Owner SHANGHAI OCEAN UNIV