Construction of regional economic development model based on satellite remote sensing technology

doi:10.6046/gtzyyg.2020.02.29

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Abstract

In order to break through the time-consuming and laborious limitations of traditional regional economic development surveys, the authors built some regional economic development models by virtue of the advantages of remote sensing technology. First, based on multi-source and multi-temporal satellite remote sensing data, the authors obtained surface morphological changes and land use information, analyzed the correlation between land use types and regional economic indicators, optimized sensitive factors, then combined the social survey data to build a regional economic development model and finally performed an accuracy evaluation to verify the validity and applicability of the model. Zhoushan Islands were selected as the research area to carry out verification experiments. The experimental results show that the construction land area is the most sensitive factor related to various economic indicators, and the correlation coefficients with GDP, PIP, SIP and TIP are respectively 0.959 1, 0.939 0, 0.954 6 and 0.957 3. The average determination coefficient R² of the regional economic development model built with the survey data is 0.979 5. The results obtained by the authors provide a new way of thinking for regional economic development prediction and economic data correction and also provide a possibility for humans to observe economic activities and their impact. The model built in this study is simple and clear yet with high precision, and thus is of great significance for understanding regional economic development as well as adjusting and correcting statistical data.

Keywords land use and cover change satellite remote sensing technology regional economic development model construction Zhoushan Islands

TP79

Corresponding Authors: Chao CHEN E-mail: chenchao@zjou.edu.cn

Issue Date: 18 June 2020

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	Hailing GU
	Chao CHEN
	Ying LU
	Yanli CHU

Cite this article:

Hailing GU,Chao CHEN,Ying LU, et al. Construction of regional economic development model based on satellite remote sensing technology[J]. Remote Sensing for Land & Resources, 2020, 32(2): 226-232.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.02.29 OR https://www.gtzyyg.com/EN/Y2020/V32/I2/226

Tab.1 Acquired data in the study area

Fig.1 Flow chart of this study

Tab.2 Area of land use types(km²)

Fig.2 Results of classification

指标	Ⅰ	Ⅱ	Ⅲ	Ⅳ	Ⅴ	lg(Ⅰ)	lg(Ⅱ)	lg(Ⅲ)	lg(Ⅳ)	lg(Ⅴ)	e⁽^Ⅰ^')	e⁽^Ⅱ^')	e⁽^Ⅲ^')	e⁽^Ⅳ^')	e⁽^Ⅴ^')
GDP	-0.545 5	0.645 8	0.919 4	-0.172 8	0.782 2	-0.546 3	0.607 2	0.842 2	-0.113 2	0.777 4	-0.529 9	0.662 4	0.943 9	-0.222 1	0.808 0
PIP	-0.443 3	0.621 4	0.917 2	-0.263 1	0.762 5	-0.443 5	0.581 9	0.850 0	-0.202 5	0.756 0	-0.432 6	0.643 4	0.939 8	-0.310 6	0.801 7
SIP	-0.614 0	0.647 8	0.926 8	-0.144 5	0.757 6	-0.616 1	0.617 0	0.860 8	-0.084 3	0.754 0	-0.589 3	0.655 4	0.940 9	-0.197 3	0.773 6
TIP	-0.526 1	0.647 4	0.897 8	-0.155 1	0.7943	-0.526 1	0.603 1	0.809 0	-0.098 0	0.789 2	-0.515 6	0.668 5	0.931 0	-0.201 6	0.822 9
人均 GDP	-0.547 0	0.646 1	0.919 5	-0.171 7	0.782 3	-0.547 8	0.607 6	0.842 4	-0.112 1	0.777 5	-0.531 4	0.662 4	0.943 9	-0.221 0	0.807 9
常住人口	-0.463 9	0.616 0	0.962 8	-0.4057	0.622 8	-0.468 0	0.615 4	0.956 2	-0.329 6	0.618 3	-0.430 3	0.605 0	0.942 9	-0.469 6	0.647 5
e⁽^GDP^')	-0.453 5	0.7055	0.881 5	-0.267 4	0.725 1	-0.4545	0.691 4	0.807 4	-0.196 2	0.719 0	-0.437 8	0.704 7	0.907 0	-0.326 3	0.762 2
e⁽^PIP^')	-0.404 4	0.616 2	0.870 1	-0.224 9	0.781 9	-0.403 2	0.568 2	0.787 0	-0.168 4	0.774 9	-0.403 0	0.645 4	0.905 1	-0.267 5	0.824 9
e⁽^SIP^')	-0.574 6	0.643 2	0.901 9	-0.129 9	0.779 7	-0.575 8	0.605 4	0.822 2	-0.071 2	0.775 4	-0.555 9	0.657 6	0.927 5	-0.179 8	0.801 5
e⁽^TIP^')	-0.463 0	0.630 5	0.856 7	-0.151 7	0.799 3	-0.461 8	0.580 6	0.758 7	-0.097 5	0.793 4	-0.460 9	0.657 7	0.899 2	-0.193 6	0.834 1
e^(人均^GDP^')	-0.492 7	0.635 0	0.880 8	-0.159 1	0.7952	-0.492 3	0.589 6	0.791 1	-0.102 4	0.789 7	-0.485 3	0.658 1	0.916 4	-0.204 1	0.826 9
e^{(常住人口')}	-0.502 7	0.630 9	0.967 1	-0.3289	0.691 9	-0.505 7	0.617 0	0.934 9	-0.257 1	0.687 3	-0.474 6	0.629 4	0.962 7	-0.388 6	0.716 2
lg(GDP)	-0.459 3	0.5901	0.947 9	-0.431 7	0.563 1	-0.4640	0.599 9	0.959 1	-0.361 5	0.558 8	-0.422 0	0.571 2	0.914 8	-0.491 8	0.585 9
lg(PIP)	-0.372 5	0.565 5	0.925 4	-0.486 1	0.543 5	-0.376 9	0.575 0	0.939 0	-0.413 2	0.537 6	-0.337 5	0.551 8	0.896 9	-0.547 2	0.579 5
lg(SIP)	-0.492 3	0.594 1	0.942 4	-0.405 9	0.554 6	-0.497 0	0.606 3	0.954 6	-0.337 7	0.551 1	-0.454 2	0.571 5	0.906 4	-0.465 5	0.572 0
lg(TIP)	-0.5024	0.620 1	0.959 9	-0.387 5	0.602 7	-0.506 3	0.622 9	0.957 3	-0.321 0	0.598 7	-0.468 8	0.604 1	0.933 8	-0.445 3	0.623 3
lg(人均GDP)	-0.464 2	0.591 0	0.949 4	-0.426 8	0.566 8	-0.468 7	0.600 1	0.959 7	-0.357 2	0.562 6	-0.427 2	0.572 4	0.916 7	-0.486 5	0.589 2
lg(常住人口)	-0.450 7	0.610 9	0.958 3	-0.425 4	0.603 2	-0.455 0	0.613 7	0.958 1	-0.348 2	0.598 7	-0.415 9	0.597 5	0.934 8	-0.490 3	0.628 2

Tab.3 Correlation matrix between area of land use types and economic indicators

Tab.4 Constructed models

Tab.5 Accuracy evaluation of constructed models

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