Method for correcting brightness temperature of rough sea surface by using backscatter cross section

A backscattering cross-section and rough sea surface technology, applied in the field of sea surface salinity inversion, can solve the problems of cumbersome steps and model errors, and achieve the effect of simple model, reduced model error and fast calculation speed

Inactive Publication Date: 2020-02-14
三亚中科遥感研究所 +1
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The previous roughness correction method needs to use the scatterometer to invert the sea surface wind speed or obtain other auxiliary wind speeds, and then use the wind speed to correct the brightness temperature. On the one hand, the method is cumbersome, and on the other hand, it is easier to introduce model errors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for correcting brightness temperature of rough sea surface by using backscatter cross section
  • Method for correcting brightness temperature of rough sea surface by using backscatter cross section
  • Method for correcting brightness temperature of rough sea surface by using backscatter cross section

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] The data from September 2015 to March 2016 were used to establish and validate the model. The data from September to December 2015 were used for method establishment, and the data from January to March 2016 were used for method validation. Data affected by rainfall, land, sea ice, etc. have been removed from the data. The data used for method establishment is greater than 1.2 million pairs per incident angle, and the data used for method validation is greater than 900,000 pairs per incident angle.

[0103] Figure 2A , Figure 2B , Figure 2C and Figure 2D It shows the change of the mean emissivity increment value of beam3's rough sea surface calculated by using training data with Rσ and wind direction. It can be seen that the emissivity increment of rough sea surface has a high correlation with Rσ and wind direction, and the emissivity increase The amount increases with the increase of Rσ, and changes in a cosine manner with the wind direction, so the model proposed...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for correcting brightness temperature of a rough sea surface by using a backscatter cross section. The method is applied to salinity remote sensing in marine microwaveremote sensing, is used for correcting the brightness temperature of the rough sea surface and is suitable for an active-passive joint observation system for an Aquarius satellite; the method is different from a conventional method of inverting the surface wind speed or acquiring the auxiliary wind speed by utilizing a scatterometer and then correcting the influence of the sea surface roughness on the brightness temperature by utilizing the wind speed; the method directly utilizes the NRCS observed by the scatterometer and the auxiliary sea surface wind direction information to correct the influence of the sea surface roughness on the brightness temperature of the sea surface, and does not need to use the auxiliary wind speed data to correct the brightness temperature of the sea surface.The method has fewer used parameters and higher precision, and the method is simple in processing process, low in cost, high in precision and easy to operate.

Description

technical field [0001] The invention relates to a sea surface salinity inversion method in the field of ocean microwave remote sensing, more particularly, a method for correcting rough sea surface brightness temperature by using a backscattering section. Background technique [0002] The observation of sea surface salinity is of great significance to the study and prediction of global climate change, as well as the monitoring and forecasting of ocean circulation and ocean water masses. The distribution of sea surface salinity is closely related to the temporal and spatial changes of seawater evaporation and rainfall. Satellite salinity remote sensing is the most effective means to obtain global, long-time, and wide-coverage sea surface salinity data. The Aquarius satellite (namely, the Aquarius satellite) is a satellite specially designed for salinity remote sensing. It adopts active and passive combined observation methods, combining the 1.26GHz scatterometer and the 1.413G...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/60G01J5/00
CPCG01J5/60G01J5/00G01J5/80
Inventor 马文韬于暘刘桂红杨晓峰杜延磊李紫薇
Owner 三亚中科遥感研究所
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap