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Author  |
Chen, J., & Li, L. |
| Title |
Regional Economic Activity Derived From MODIS Data: A Comparison With DMSP/OLS and NPP/VIIRS Nighttime Light Data |
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Journal Article |
| Year |
2019 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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1-11 |
| Keywords |
Remote Sensing; Economics |
| Abstract |
Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data are the two most commonly used indicators of gross domestic product (GDP) estimation. Few studies explore the potential of daytime satellite data for estimating GDP. This study demonstrates a linear support vector machine (Linear-SVM) model to estimate GDP over Hubei province and Guangdong province, China, in 2013 from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Also, a comparison of MODIS data with DMSP/OLS and NPP/VIIRS nighttime light data was conducted. Results show that the Linear-SVM model (Hubei: R2 = 0.66, 0.71, 0.92; Guangdong: R2 = 0.37, 0.32, 0.67) has better model performance than simple linear regression (R2 = 0.54, 0.59, 0.86; R2 = 0.23, 0.23, 0.63) based on DMSP/OLS nighttime lights, DMSP/OLS corrected nighttime lights, and NPP/VIIRS nighttime lights, respectively, while MODIS data has model performance of R2 = 0.77 (Hubei) and R2 = 0.55 (Guangdong) based on the Linear-SVM model, further indicating that MODIS data improves the accuracy of GDP estimation compared to DMSP/OLS nighttime lights. In addition, MODIS data produced finer GDP estimation than DMSP/OLS nighttime lights, especially in dark and light saturated areas. Although MODIS data is not as accurate as the NPP/VIIRS nighttime lights for estimating GDP, the proposed method could be applicable to other daytime satellite data and has broad prospects for improving the spatial and temporal resolution of regional economic activity and improving estimation accuracy. |
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IDA @ intern @ |
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2630 |
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Chen, Z., Yu, B., Ta, N., Shi, K., Yang, C., Wang, C., Zhao, X., Deng, S., & Wu, J. |
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Delineating Seasonal Relationships Between Suomi NPP-VIIRS Nighttime Light and Human Activity Across Shanghai, China |
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Journal Article |
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2019 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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1-9 |
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Remote Sensing |
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The nighttime light (NTL) remote-sensing data have been widely applied in several applications for analyzing the urbanization process. The relationship between NTL intensity and human activity becomes a solid foundation for the applications using NTL data. However, there is no research, so far, revealing how the human activity seasonality could impact the seasonal change of NTL intensity. In this paper, a comparative analysis, box plot, and random forest algorithm were applied to NTL remote-sensing data and points of interest (POIs) data within Shanghai, China. The results show that in spring and autumn, the NTL is much brighter than that in summer and winter, especially within high human activity density area. The NTL intensity can be partly (approximately 40%) explained as the joint effects of the five POI categories. By analyzing the contributions of each POI category to NTL intensity, we found that the National Polar-Orbiting Partnership-Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) could be used to dig more information about gross domestic product (GDP) and traffic-based applications with consideration of NTL seasonality. |
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IDA @ intern @ |
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2542 |
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Farahat, A.; Florea, A.; Martinez Lastra, J.L.; Branas, C. |
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Energy Efficiency Considerations for LED-based Lighting of Multipurpose Outdoor Environments |
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Journal Article |
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2015 |
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingournal of Emerging and Selected Topics in Power Electronics |
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IEEE J. Emerging and Sel. Topics in Power Elec. |
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99 |
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1 |
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Lighting; LED lighting; LED; optimization; lighting technology; lighting design; energy; energy efficiency |
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Nowadays street lighting accounts for 53% of outdoor lighting use and the market is continuously increasing. In the context of rising energy prices and growing environmental awareness, energy efficiency is becoming one of the most important criteria for street lighting systems design. LED-based lights have become the primary option for replacing conventional light bulbs, being digitally controllable, small, highly efficient, and cheap to manufacture. Advanced control strategies adapted to ambient conditions are needed to combine low energy consumption and high quality light ambience according to changing specifications. This paper describes an outdoor lighting solution aimed at energy efficient performance in the context of multipurpose outdoor environments, where control is crucial in achieving efficiency improvements. The work addresses efficiency at the component level, by optimizing the performance of LED drivers, and at system level, defining the control strategy and associated hardware infrastructure. The approach designed was tested in a real environment. The performance of the lighting installation was assessed using the web-based monitoring application, providing real-time consumption information and aggregated historical data. |
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University of Technology, Tampere, Finland.(Email: ahmed.amr.b@gmail.com) |
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IEEE |
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2168-6777 |
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IDA @ john @ |
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1205 |
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Kuffer, M.; Pfeffer, K.; Sliuzas, R.; Taubenbock, H.; Baud, I.; van Maarseveen, M. |
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Capturing the Urban Divide in Nighttime Light Images From the International Space Station |
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Journal Article |
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2018 |
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Abbreviated Journal |
IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing |
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11 |
Issue |
8 |
Pages |
2578-2586 |
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Remote Sensing |
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Earlier studies utilizing coarse resolution DMSP-OLS nighttime light (NTL) imagery suggest a negative correlation between the amount of NTL and urban deprivation. The International Space Station (ISS) NTL images offer higher resolution images compared to DMSP-OLS or VIIRS images, allowing an analysis of intraurban NTL variations. The aim of this study is to examine the capacity of ISS images for analyzing the intraurban divide. NTL images of four cities (one African, two Asian, and one South American) have been processed and analyzed. The results show that deprived areas are generally the darker spots of built-up areas within cities, illustrating the urban divide in terms of access to street lighting. However, differences exist between cities: Deprived areas in the African city (Dar es Salaam) generally feature lower NTL emissions compared to the examined cities in South America (Belo Horizonte) and Asia (Mumbai and Ahmedabad). Beyond, variations exist in NTL emissions across deprived areas within cities. Deprived areas at the periphery show less NTL compared to central areas. Edges of deprived areas have higher NTL emissions compared to internal areas. NTL emission differences between types of deprived areas were detected. The correlation between ISS NTL images and population densities is weak; this can be explained by densely built-up deprived areas having less NTL compared to lower density formal areas. Our findings show ISS data complement other data to capture the urban divide between deprived and better-off areas and the need to consider socioeconomic conditions in estimating populations. |
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1939-1404 |
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GFZ @ kyba @ |
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2178 |
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Lei, S., Xu, J., Li, Y, Du, C., Mu, M., Zeng, S., Miao, S., Bi, S., Wang, Q., & Lyu, H. |
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Remote Monitoring of PSD Slope Under the Influence of Sand Dredging Activities in Lake Hongze Based on Landsat-8/OLI Data and VIIRS/DNB Night-Time Light Composite Data |
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Journal Article |
| Year |
2019 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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1-15 |
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Remote Sensing |
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Particle size distribution (PSD) is an important characterization parameter of the particle size structure of suspended particles, which is vulnerable to human activities such as sand dredging. In this study, sand dredging numbers were evaluated by the accumulated radiance algorithm using the night-time light composite data of the visible infrared imaging radiometer suite, and the PSD slope was derived by band ratio algorithm of Landsat-8/operational land imager (OLI) imagery. Then, the influence of sand mining on PSD slope was analyzed. We draw several crucial findings. First, the ratio of RRrs(Red) to RRrs(Green) based on OLI imagery was capable of retrieving PSD slope with good robustness (R2 = 0.71, p < 0.01, n = 41) and verified acceptance (mean absolute percentage error = 4.29%, root mean square error = 0.19, n = 20), and the PSD slope in HZL was lower in summer than in the other seasons from 2014 to 2017. Second, The night active vessels extracted from the night-time images show that sand dredging activities began at the outlet of Chengzi Lake (CZL) in April 2012, spread to the whole lake between 2014 and 2016, and then stopped in the northeast region in March 2017 due to the strict control of the local government. Third, the PSD slope is strongly influenced by sand mining, which is positively correlated with the number of sand dredgers (R2 = 0.92), i.e., the PSD slope increases 0.21 per 100 working sand dredgers in CZL. |
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IDA @ intern @ |
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2540 |
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