Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery

被引:53
作者
Chen, Chao [1 ]
He, Xinyue [1 ]
Liu, Zhisong [2 ]
Sun, Weiwei [3 ]
Dong, Heng [4 ]
Chu, Yanli [5 ]
机构
[1] Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316022, Peoples R China
[2] Zhejiang Ocean Univ, Coll Math Phys & Informat, Zhoushan 316022, Peoples R China
[3] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
[4] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China
[5] Zhejiang Ocean Univ, Sch Econ & Management, Zhoushan 316022, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
PRINCIPAL COMPONENT ANALYSIS; TASSELED CAP TRANSFORMATION; REMOTE-SENSING-IMAGES; NIGHTTIME LIGHT DATA; COASTLINE INFORMATION; SPATIAL-ANALYSIS; DRIVING FORCES; WATER; CLASSIFICATION; EXTRACTION;
D O I
10.1038/s41598-020-69716-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The monitoring of economic activities is of great significance for understanding regional economic development level and policymaking. As the carrier of economic activities, land resource is an indispensable production factor of economic development, and economic growth leads to increased demand for land as well as changes in land utilization form. As an important means of earth observation, remote-sensing technology can obtain the information of land use and land cover change (LUCC) related to economic activities. This study proposes a method for analysing regional economic situations based on remote-sensing technology, from which LUCC information extraction, sensitivity factor selection, model construction and accuracy evaluation were implemented. This approach was validated with experiments in Zhoushan City, China. The results show that the economic statistical index is most sensitive to the construction land area, and the average correlation coefficient between the actual data and the predicted data is 0.949, and the average of mean relative error is 14.21%. Therefore, this paper suggests that LUCC could be utilised as an explanatory indicator for estimating economic development at the regional level, and the potential applications of remotely-sensed image in economic activity monitoring are worth pursuing.
引用
收藏
页数:16
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