Urban night light economic index evaluation method based on cross-domain multidimensional big data

A technology of nighttime lighting and evaluation methods, applied in data processing applications, instruments, calculations, etc., can solve the problem of lack of cross-domain multi-dimensional big data analysis and research on urban nighttime economic activities, and achieve important market value and save human and material resources.

Inactive Publication Date: 2017-07-28
WUHAN UNIV
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Problems solved by technology

At the same time, most of the current research on urban economic development using nighttime light remote sensing data is based on the study of the overall economy, and there is a lack of analysis and research on urban nighttime economic activities combined with cross-domain multi-dimensional big data.

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  • Urban night light economic index evaluation method based on cross-domain multidimensional big data
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  • Urban night light economic index evaluation method based on cross-domain multidimensional big data

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Embodiment Construction

[0032] In order to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0033] see figure 1 , the embodiment of the present invention includes the following steps:

[0034] Step a, preprocessing of urban nighttime light remote sensing data. Including nighttime light remote sensing image reprojection, resampling and clipping based on China's administrative boundary vector data, mutual correction of nighttime light remote sensing image data.

[0035] Reproject the DMSP / OLS night light remote sensing data obtained from the National Geographic Information Center NGDC to the Albers projection system, resample it to 1km, and use the vector boundary of China's administrative divisions for clipping to obtain the spatial resolution Remote sensing image data of nighttime lights in China with a rate of 1km. Since the OLS sensor has not been ca...

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Abstract

The invention provides an urban night light economic index evaluation method based on cross-domain multidimensional big data. The urban night light economic index evaluation method based on cross-domain multidimensional big data includes the steps: preprocessing urban night light remote sensing data; utilizing a comparison method based on auxiliary data to determine the optimum threshold; extracting an urban built-up area; calculating an urbanized Compounded Night Light Index CNLI; constructing an urban night light economic index NLEI and verifying the NLEI; according to the urban night light economic index NLEI, analyzing the urban night economic development degree; and according to the urbanized Compounded Night Light Index CNLI and the urban night light economic index NLEI, performing comprehensive analysis on the urban night economic development and urbanized development level. By fully utilizing the night light remote sensing characteristic and advantage, and by means of integration with the cross-domain multidimensional big data, the urban night light economic index evaluation method based on cross-domain multidimensional big data brings forward and constructs the urban night light economic index, and provides a quick and accurate new approach for researching the urban night economic development degree and the relation between the urban night economic development degree and the urbanized development process.

Description

technical field [0001] The invention belongs to the field of information extraction and application of remote sensing image data, and relates to a construction and evaluation method of urban night light economic index based on cross-domain multi-dimensional big data, focusing on night light remote sensing images, economic statistical data, administrative division data, and land use. The problem of quantitative evaluation of urban night-time economic development and its relationship with urbanization development level with cross-domain multi-dimensional urban big data such as remote sensing monitoring data. Background technique [0002] Urbanization is a spatial aggregation phenomenon accompanied by social and economic development, and the level of urbanization in a country or region is closely related to the degree of economic development. Economic growth promotes the development of urbanization, and urbanization also plays an important role in economic and social developmen...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26G06K9/00
CPCG06Q10/06G06Q50/26G06V20/176
Inventor 邵振峰付虎艳
Owner WUHAN UNIV
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