Method for calculating ground surface root-mean-square height through fully-polarized SAR data

A technology of root mean square height and data calculation, which is applied in the field of microwave remote sensing, and can solve the problems of not calculating the surface roughness of vegetation coverage, and cannot be directly used to calculate the root mean square height of the surface.

Active Publication Date: 2017-07-25
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0015] In this field, because the traditional bare earth scattering models are mainly integral equation model (IEM), improved integral equation model (AIEM) and empirical-semi-empirical models - Oh model, Dubois model and Shi model, etc., these models are It has better results on bare ground, but it cannot be directly used to calculate the root mean square height of the ground because it ne...

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  • Method for calculating ground surface root-mean-square height through fully-polarized SAR data
  • Method for calculating ground surface root-mean-square height through fully-polarized SAR data
  • Method for calculating ground surface root-mean-square height through fully-polarized SAR data

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[0031] Study area and data

[0032] The present invention's research area is located at Egan Farm and its surroundings in Erguna City, Inner Mongolia Autonomous Region ( figure 1 ), located on the west slope of the northern section of the Great Khingan Mountains, covering a range from 120°12 to 122°55' east longitude and 50°20' to 52°30' north latitude. Its physical and geographical characteristics are high latitude and high cold, and the crops are mainly upland crops such as wheat and rapeseed; at the same time, the range of plots in the research area is much higher than the image resolution, which is conducive to reducing the number of mixed pixels and types of mixed It provides favorable conditions for the development of experiments. In the experiment, the RADARSAT-2 full polarization data acquired on June 24, 2016 and the actual sampling data collected during the transit were carried out to carry out research on extracting surface soil moisture based on RADARSAT-2 data. ...

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Abstract

The invention provides a method for calculating a ground surface root-mean-square height through fully-polarized SAR data. The method comprises the steps that first, fully-polarized C-waveband satellite data is preprocessed, and different polarization back-scattering coefficients sigma vv, sigma hh, sigma hv and sigma vh of four channels and a co-polarization relevant coefficient rho vvhh are extracted; second, a vegetation height h is obtained according to the relation between the co-polarization relevant coefficient rho vvhh and the vegetation height h; and last, the ground surface root-mean-square height s is obtained through calculation according to the relation between a dB difference value between cross-polarization and co-polarization, the vegetation height h and the ground surface root-mean-square height s.

Description

technical field [0001] The invention relates to the field of microwave remote sensing, and mainly relates to a method for calculating the root mean square height of the ground surface using fully polarized SAR data Background technique [0002] High-resolution Synthetic Aperture Radar (SAR) data has important applications in crop monitoring, and can be used to monitor crop growth, yield and soil moisture. As an indicator of climate and environmental aridification, soil moisture is an important monitoring content in global change research; at the same time, as a basic condition for plant growth, it is an important indicator for drought monitoring and crop yield estimation. The traditional measurement methods of soil moisture are based on point measurement, and the measurement results have discontinuity in time and space, which is not conducive to large-scale estimation and dynamic monitoring. With its high sensitivity to soil moisture, SAR can make up for the shortcomings of...

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Application Information

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IPC IPC(8): G06F19/00G01S13/90
CPCG01S13/90G16Z99/00G01S13/9076
Inventor 陈权陶浩然李震张平
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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