Land water reserve prediction method and equipment based on neural network algorithm

A neural network algorithm and neural network technology are applied in the field of terrestrial water storage prediction based on neural network algorithm, which can solve problems such as weak noise resistance, inability to launch gravity satellites, and inability to obtain information on terrestrial water storage.

Active Publication Date: 2020-02-28
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI +1
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[0003] However, due to the limitation of the level of scientific development in the early years, gravity satellites could not be launched to detect changes in the earth's gravitational field. Therefore, it was impossible to...

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  • Land water reserve prediction method and equipment based on neural network algorithm
  • Land water reserve prediction method and equipment based on neural network algorithm
  • Land water reserve prediction method and equipment based on neural network algorithm

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[0026] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0027] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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Abstract

The invention provides a land water reserve prediction method and equipment based on a neural network algorithm. The land water reserve prediction method comprises the following steps: acquiring spatial resolution of surface parameter information, land water reserve information and land water reserve information; carrying out resampling for reducing the spatial resolution on the surface parameterinformation to obtain first surface parameter information; constructing a neural network regression model based on the first surface parameter information and the land water reserve information; obtaining target surface parameter information in to-be-predicted time, and performing resampling for reducing spatial resolution on the target surface parameter information to obtain second surface parameter information; and inputting the second surface parameter information into the neural network regression model, and determining land water reserve information corresponding to the target surface parameter information within to-be-predicted time. Compared with the prior art, the method can achieve the precise prediction of the land water reserve information in a historical period, and obtains theland water reserve dynamic change data in a long time sequence.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to a method and equipment for predicting land water storage based on a neural network algorithm. Background technique [0002] The earth is a dynamical system that changes with time and space, and the redistribution of mass in the earth system will lead to changes in the earth's gravitational field on different time scales. Thus, the migration and exchange of matter can be understood by using gravity observations. In the study of material migration, terrestrial water storage is of great significance to global climate change, economic development and human life. [0003] However, due to the limitation of the level of scientific development in the early years, gravity satellites could not be launched to detect changes in the earth's gravitational field. Therefore, it was impossible to obtain land water storage information in the historical period. There is a problem, ...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06F17/18
CPCG06Q10/04G06N3/084G06F17/18G06N3/045Y02A90/10
Inventor 荆文龙李勇刘杨晓月杨骥夏小琳
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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