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Sea ice density obtaining method based on space-time system point value

An acquisition method and density technology, applied in the field of remote sensing, can solve the problem of low accuracy of sea ice density

Inactive Publication Date: 2020-12-08
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention solves the problem of low accuracy of sea ice density obtained in the prior art by providing a sea ice density acquisition method based on time-space point values

Method used

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  • Sea ice density obtaining method based on space-time system point value
  • Sea ice density obtaining method based on space-time system point value
  • Sea ice density obtaining method based on space-time system point value

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Embodiment Construction

[0028] This embodiment provides a method for obtaining sea ice density based on spatio-temporal point values, which is a method for selecting point values ​​that comprehensively considers time and space characteristics, and thereby calculates sea ice density.

[0029] This embodiment provides a method for obtaining sea ice density based on the point value of space-time system, including the following steps:

[0030] Step 1. Obtain the original strip data and preprocess the original strip data to obtain the daily scale brightness temperature data.

[0031] Specifically, the original strip data is obtained, radiometric calibration, geometric calibration, and projection are performed on it, and the strips are spliced ​​to complete brightness temperature synthesis, and land masking is performed to finally obtain daily-scale brightness temperature data.

[0032] Step 2. Perform cross-calibration on the daily-scale brightness temperature data to obtain the calibrated daily-scale bri...

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Abstract

The invention belongs to the technical field of remote sensing, and discloses a sea ice density acquisition method based on a space-time system point value, which comprises the following steps: acquiring original strip data and preprocessing to obtain day-scale brightness temperature data; performing cross calibration on the daily scale brightness temperature data to obtain calibrated daily scalebrightness temperature data; calculating and obtaining initial sea ice density by utilizing an ASI algorithm; giving a primary sea ice density condition, a spatial position condition and a time condition, selecting sample points for calculating a daily sea ice system point value and a seawater system point value, and taking an average value of the sample points as a daily new system point value; calculating and obtaining secondary sea ice density by utilizing an ASI algorithm on the basis of the new daily coefficient value; and removing false ice by using a weather filter and a maximum sea icerange mask to obtain daily-scale sea ice density. According to the invention, the problem of low precision of sea ice density obtained in the prior art is solved. The precision of the sea ice densityobtained by the method is higher than that of sea ice density obtained based on a fixed system point value.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method for acquiring sea ice density based on time-space point values. Background technique [0002] Sea ice plays a crucial role in the global climate system, effectively regulating the exchange of energy and momentum between the ocean and the atmosphere. Sea ice density is an important parameter to describe the distribution of sea ice, which represents the proportion of sea ice per unit area. Many scholars at home and abroad have developed different sea ice density inversion methods based on passive microwave brightness temperature data, and obtained long-term sea ice density products. The climate has changed significantly in recent years, and the algorithms proposed in the past cannot adapt to the current climate conditions and the newly released passive microwave sensors. The tie point value is a key parameter in the sea ice density inversion algorithm, which affec...

Claims

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Application Information

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IPC IPC(8): G01N21/17G01N25/20G01S19/42G01S19/10G06F17/10
CPCG01N21/17G01N25/20G01N2021/1793G01S19/10G01S19/42G06F17/10
Inventor 赵羲季青庞小平陈颖
Owner WUHAN UNIV
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