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A robust method for simulating the annual variability of remote sensing land surface temperature

A technology of surface temperature and simulation method, which is applied in design optimization/simulation, CAD numerical modeling, special data processing applications, etc., can solve the problem of difficulty in taking into account algorithm complexity and generalization ability, and achieve synchronization of accuracy and generalization ability Enhanced, adaptable effect

Active Publication Date: 2018-12-25
NANJING UNIV
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AI Technical Summary

Problems solved by technology

However, the existing methods still have the problem of difficulty in balancing algorithm complexity and generalization ability.

Method used

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  • A robust method for simulating the annual variability of remote sensing land surface temperature
  • A robust method for simulating the annual variability of remote sensing land surface temperature
  • A robust method for simulating the annual variability of remote sensing land surface temperature

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Embodiment Construction

[0016] like figure 1 As shown, the process for obtaining the simulation model of remote sensing surface temperature annual variation of the present invention is as follows:

[0017] The first step is to change from the traditional semi-physical geothermal annual variation model to a statistical model, that is, to expand the single sine function to the harmonic function. This step aims to solve the problem that a single sine function is difficult to describe the multi-time scale variation of surface temperature. The ATC model composed of a single sine function first proposed by Bechtel (2011) can describe the dynamic change trend of surface temperature within a year, and the formula is as follows:

[0018]

[0019] In the formula, T s (t) represents the fitted value of the model on day t; T 0 , A and θ denote the annual mean surface temperature, ATC amplitude and phase shift relative to the vernal equinox, respectively; d is the total number of days in a year. This class...

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Abstract

The invention relates to a method for simulating annual variation of remote sensing surface temperature taking account of algorithm complexity and generalization ability. The following equation shownin the specification is used to simulate the annual variability of remote sensing surface temperature in the target area. At first, that invention propose as unified paradigm of the annual change model of the surface temperature, and on the basis of the unify paradigm, the model complexity and the generalization ability, the precision and the generalization ability of the annual change model of the surface temperature are improved synchronously. The method has strong applicability, can accurately simulate the annual change of remote sensing ground temperature, and can meet the needs of actualproduction.

Description

technical field [0001] The invention relates to a method for simulating the annual variation of remote sensing surface temperature in consideration of algorithm complexity and generalization ability, and belongs to the research field of simulation of annual variation of remote sensing surface temperature. Background technique [0002] Surface temperature is a key parameter in the process of land-atmosphere interaction and energy exchange, and plays a vital role in research fields such as climate, natural surface observation, and urban thermal environment monitoring. Thermal infrared remote sensing is an important means to quickly obtain large-scale land surface temperature. However, due to the discontinuous sampling method of spaceborne thermal sensors and the influence of atmospheric factors such as clouds, there are often gaps in satellite sampling data. Such nulls severely limit the analysis of remotely sensed surface temperature time series. Therefore, how to use the t...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F2111/10G06F30/20Y02A90/10
Inventor 刘紫涵占文凤邹照旭洪发路
Owner NANJING UNIV
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