Journal
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
Volume 23, Issue 7, Pages 10309-10343Publisher
SPRINGER
DOI: 10.1007/s10668-020-01058-5
Keywords
Gross Domestic Product; Nighttime lights; VIIRS-NPP; MODIS EVI; Regression model; Turkey
Funding
- Scientific and Technological Research Council of Turkey (TUBITAK) [118C002]
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This study fills a research gap by analyzing the agricultural and non-agricultural GDP of Turkey in 2015 using satellite data and land use information. The spatial mapping of GDP for different sectors provides a better understanding of economic differences in various regions of Turkey.
Satellite-derived nighttime light data have been increasingly used as a proxy measure for investigating economic activity. However, there are few studies focusing on the spatialised mapping of the GDP at pixel level and further analysis of the economic differences in agricultural and non-agricultural sectors for the different regions using the VIIRS-NPP data. This paper aims to fill this gap in the literature through developing a pixel-level agricultural and non-agricultural GDP map for Turkey in 2015 by combining the VIIRS-NPP nighttime imagery, Terra MODIS-Enhanced Vegetation Index, and land use/cover data from CORINE. The inclusion of vegetation indices and land cover data would significantly improve the estimates of sectorial GDP for Turkey where agriculture is one of the dominating sectors in the Country. GDP density map offers a significant database for both researchers and policy makers in the analysis of regional economic dynamics that will assist in formulating sustainable regional growth strategies.
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