Multispectral rainfall detection system and method based on random forest algorithm

A random forest algorithm and precipitation detection technology, applied in the field of satellite remote sensing, can solve the problems of insufficient space coverage, low time and space resolution, etc.

Pending Publication Date: 2020-12-25
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, the traditional precipitation detection method is limited by the load of polar-orbiting satellites, and has the problems of low time and space resolution and insufficient space coverage.

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  • Multispectral rainfall detection system and method based on random forest algorithm
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  • Multispectral rainfall detection system and method based on random forest algorithm

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[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0051] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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Abstract

The invention discloses a multispectral rainfall detection method based on a random forest algorithm. The method comprises the steps: carrying out observation of the same cloud region at the same timethrough a visible and infrared spin scanning radiometer carried on a stationary satellite and a microwave temperature detector carried on a polar orbit satellite, and obtaining observation data; after visible and infrared spin scanning radiometer high-resolution cloud products are matched into microwave temperature detector phase elements, acquiring information on a surface of a cloud body in AMSU-A image elements of a microwave temperature detector and information inside the cloud body; and then simulating a nonlinear relationship between cloud top optical information and microwave rainfallinformation in the cloud body by using the random forest algorithm, and establishing a relationship between the optical information and the microwave rainfall information. The invention further provides a multispectral rainfall detection system based on the random forest algorithm. The system comprises a data acquisition module, a matching module, a modeling module, a model verification module anda rainfall detection module. Compared with a traditional detection method, the detection system and method have higher accuracy, higher detection rate and lower error rate.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing, and in particular relates to a method for detecting precipitation by combining the random forest algorithm in the field of machine learning and utilizing cross-spectral information of visible light and microwaves. Background technique [0002] Satellite microwave data is an important source of observational data for numerical weather prediction (NWP). Studies have shown that introducing microwave observational data into data assimilation can bring positive effects to numerical weather prediction. Compared with satellite infrared and visible light instruments, microwave sounders can Through the non-precipitating clouds to obtain atmospheric temperature and humidity profile information. However, microwaves are easily affected by the scattering of large-diameter water particles, and it is difficult to penetrate precipitation clouds. Microwave observation data in precipitation areas ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62
CPCG06F30/27G06F18/214G06F18/24323
Inventor 罗藤灵马刚余意张琪张卫民任开军李毅史华湘
Owner NAT UNIV OF DEFENSE TECH
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