Remote sensing data and social survey combined regional economic development estimation method and system

Abstract

The invention discloses a remote sensing data and social survey combined regional economic development estimation method and system. The system comprises a data reading module, an image preprocessingmodule, a classification module, a sensitive factor selection module, a model construction module and a precision evaluation module. The method comprises the following steps: S1, selecting a researcharea, and obtaining a satellite remote sensing image and social survey data of a corresponding year; s2, operating the obtained satellite remote sensing image to obtain a satellite remote sensing image covering the whole research area; s3, classifying the land utilization types of the research area; s4, selecting a sensitive factor; s5, constructing a regional economic development estimation model; and S6, carrying out precision evaluation on the regional economic development estimation model. The method and system provide a new idea for regional economic development prediction and economic data correction, provide a new approach for observing economic activities and influences thereof for human beings, and have the advantages of simple process, easy operation, strong objectivity and the like.

Description

technical field [0001] The invention relates to the field of combining remote sensing data and social survey, in particular to a regional economic development estimation method and system combining satellite remote sensing data and social survey. Background technique [0002] Regional economic development refers to economic activities such as economic growth, population growth, industrial organization and structural upgrading within a certain time and space. With the acceleration of social development, problems such as unbalanced regional economic development, widening gap between urban and rural areas, and saturation of urban resource carrying capacity have become increasingly prominent, which has attracted more and more attention and thinking from scientists and sociologists. Evaluating regional economic development is conducive to objectively understanding social issues such as resource consumption, environmental pollution, and population expansion, and is of great signif...

AI Technical Summary

Problems solved by technology

On the one hand, statistical data has shortcomings such as lack of data and lack of spatial information. On the other hand, statistical data is often obtained through "on-the-spot investigation and reporting layer by layer", which is costly and easily affected by human subjective factors. uncertainty

The method based on remote sensing night light data is based on the establishment of the correlation between light radiation value and GDP and other economic indicators, which makes up for the lack of conventional statistical data in time and space, but the spatial resolution of remote sensing night light data is relatively low. Low, and only relying on the light radiation value also makes the analysis results relatively simple

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