Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light

doi:10.3390/rs9080786

CORC > 北京大学 > 城市与环境学院

	Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light
	Qi, Kun ; Hu, Yi&apos ; Cheng, Chengqi ; Chen, Bo ; na
刊名	REMOTE SENSING
	2017
关键词	transferability data mining night-time light DMSP/OLS economy estimation SATELLITE IMAGERY URBANIZATION PROCESS URBAN EXPANSION CHINA DYNAMICS MODEL SPECTROSCOPY PERSPECTIVE POPULATION REGRESSION
DOI	10.3390/rs9080786
英文摘要	Despite the fact that economic data are of great significance in the assessment of human socioeconomic development, the application of this data has been hindered partly due to the unreliable and inefficient economic censuses conducted in developing countries. The night-time light (NTL) imagery from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) provides one of the most important ways to evaluate an economy with low cost and high efficiency. However, little research has addressed the transferability of the estimation across years. Based on the entire DN series from 0 to 63 of NTL data and GDP data in 31 provinces of mainland China from 2000 to 2012, this paper aims to study the transferability of economy estimation across years, with four linear and non-linear data mining methods, including the Multiple Linear Regression (MLR), Local Weighted Regression (LWR), Partial Least Squares Regression (PLSR), and Support Vector Machine Regression (SVMR). We firstly built up the GDP estimation model based on the NTL data in each year with each method respectively, then applied each model to the other 12 years for the evaluation of the time series transferability. Results revealed that the performances of models differ greatly across years and methods: PLSR (mean of R(2)cv = 0.84) and SVMR (mean of R(2)cv = 0.86) are superior to MLR (mean of R(2)cv = 0.72) and LWR (mean of R(2)cv = 0.75) for model calibration; only PLSR (mean of R(2)p = 0.88, mean of RPD = 1.8) holds a strong transferability among different years; the frequency of three DN sections of (0-1), (4-16), and (57-63) are especially important for economy estimation. Such results are expected to provide a more comprehensive understanding of the NTL, which can be used for economy estimation across years.; High-Resolution Earth Observation System National Key Foundation of China [11-Y20A02-9001-16/17, 30-Y20A01-9003-16/17]; SCI(E); SSCI; ARTICLE; 8; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/469038]
专题	城市与环境学院工学院
推荐引用方式 GB/T 7714	Qi, Kun,Hu, Yi&apos,Cheng, Chengqi,et al. Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light[J]. REMOTE SENSING,2017.
APA	Qi, Kun,Hu, Yi&apos,Cheng, Chengqi,Chen, Bo,&na.(2017).Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light.REMOTE SENSING.
MLA	Qi, Kun,et al."Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light".REMOTE SENSING (2017).