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Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China

1
Key Laboratory of Marginal Sea Geology, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
2
University of Chinese Academy of Sciences, Beijing 100089, China
3
School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China
*
Author to whom correspondence should be addressed.
Academic Editor: Brian Deal
Sustainability 2016, 8(2), 108; https://doi.org/10.3390/su8020108
Received: 17 November 2015 / Revised: 18 January 2016 / Accepted: 20 January 2016 / Published: 26 January 2016
Spatialized GDP data is important for studying the relationships between human activities and environmental changes. Rapid and accurate acquisition of these datasets are therefore a significant area of study. Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) radiance-calibrated nighttime light (RC NTL) images exhibit the potential for providing superior estimates for GDP spatialization, as they are not restricted by the saturated pixels which exist in nighttime stable light (NSL) images. However, the drawback of light overflow is the limited accuracy of GDP estimation, and GDP data estimations based on RC NTL images cannot be directly used for temporal analysis due to a lack of on-board calibration. This study develops an intercalibration method to address the comparability problem. Additionally, NDVI images are used to reduce the light overflow effect. In this way, the secondary and tertiary industry outputs are estimated by using intercalibrated RC NTL images. Primary industry production is estimated by using land use/cover data. Ultimately, four 1 km gridded GDP maps of Guangdong for 2000, 2004, 2006 and 2010 are generated. The verification results of the proposed intercalibration method demonstrate that this method is reasonable and can be effectively implemented. These maps can be used to analyze the distribution and spatiotemporal changes of GDP density in Guangdong. View Full-Text
Keywords: GDP spatial distribution; DMSP-OLS; radiance-calibrated nighttime light images; intercalibration; Guangdong GDP spatial distribution; DMSP-OLS; radiance-calibrated nighttime light images; intercalibration; Guangdong
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MDPI and ACS Style

Cao, Z.; Wu, Z.; Kuang, Y.; Huang, N.; Wang, M. Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China. Sustainability 2016, 8, 108. https://doi.org/10.3390/su8020108

AMA Style

Cao Z, Wu Z, Kuang Y, Huang N, Wang M. Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China. Sustainability. 2016; 8(2):108. https://doi.org/10.3390/su8020108

Chicago/Turabian Style

Cao, Ziyang; Wu, Zhifeng; Kuang, Yaoqiu; Huang, Ningsheng; Wang, Meng. 2016. "Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China" Sustainability 8, no. 2: 108. https://doi.org/10.3390/su8020108

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