Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany

Kuechly, Helga U.; Kyba, Christopher C. M.; Ruhtz, Thomas; Lindemann, Carsten; Wolter, Christian; Fischer, Jürgen; Hölker, Franz

doi:10.1016/j.rse.2012.08.008

Cited by 190 publications

(124 citation statements)

References 31 publications

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“…Although there were several remotely sensed nighttime light sources of data [11,18,19], the only global source for economic modeling was the DMSP-OLS data, which is useful in mapping the spatial distribution of the economy. Nevertheless, the DMSP-OLS has severe limits in spatial resolution and radiometric detection range [22], which hinder accurate economic modeling.…”

Section: Discussionmentioning

confidence: 99%

“…All the DMSP-OLS composites are available at the website of NOAA (http://www.ngdc.noaa.gov/dmsp/downloadV4composites.html). Although some nighttime light imagery at higher spatial resolution have been evaluated in environmental and economic fields [18,19], the only practical nighttime light data on economic evaluation was DMSP-OLS data, due to its large coverage area and low price.…”

Section: Introductionmentioning

confidence: 99%

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Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China

et al. 2013

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Historically, the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) was the unique satellite sensor used to collect the nighttime light, which is an efficient means to map the global economic activities. Since it was launched in October 2011, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) Satellite has become a new satellite used to monitor nighttime light. This study performed the first evaluation on the NPP-VIIRS nighttime light imagery in modeling economy, analyzing 31 provincial regions and 393 county regions in China. For each region, the total nighttime light (TNL) and gross regional product (GRP) around the year of 2010 were derived, and a linear regression model was applied on the data. Through the regression, the TNL from NPP-VIIRS were found to exhibit R 2 values of 0.8699 and 0.8544 with the provincial GRP and county GRP, respectively, which are significantly stronger than the relationship between the TNL from DMSP-OLS (F16 and F18 satellites) and GRP. Using the regression models, the GRP was predicted from the TNL for each region, and we found that the NPP-VIIRS data is more predictable for the GRP than those of the DMSP-OLS data. This study demonstrates that the recently released NPP-VIIRS nighttime light imagery has a stronger capacity in modeling regional economy than those of the DMSP-OLS data. These findings provide a foundation OPEN ACCESSRemote Sens. 2013, 5 3058 to model the global and regional economy with the recently availability of the NPP-VIIRS data, especially in the regions where economic census data is difficult to access.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China

et al. 2013

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“…In this study, night light is viewed as an indicator of public services rather than GDP. This is because: (1) the major component of night light is public lighting [59], which can reflect regional public services [51,52], and regions with poor lighting can be viewed as regions with poor public services; (2) although night light is strongly correlated with GDP at large scales such as administrative regions and coarse spatial resolution grid, the relationship at finer scales remains unknown; and (3) GDP in agricultural sectors is poorly related to night light [33,60], as rural areas in developing countries are typically totally dark at night. For these reasons, night light is a good proxy for public services rather than GDP, and thus can help to evaluate public services with regard to their regional inequality.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Measurement of Regional Inequality in Mainland China during 2005–2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data

Yang

et al. 2015

Sustainability

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This study used the Night Light Development Index (NLDI) to measure the regional inequality of public services in Mainland China at multiple scales. The NLDI was extracted based on a Gini Coefficient approach to measure the spatial differences of population distribution and night light distribution. Population data were derived from the dataset of China's population density grid, and night light data were acquired from satellite imagery. In the multi-scale analysis, we calculated the NLDI for China as a whole, eight 13470The same pattern was observed from the provincial and prefectural analysis, suggesting that public services in Mainland China became more equal within the five-year period. A regression analysis indicated that provincial and prefectural regions with more public services per capita and higher population density had more equal public services.

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“…This was accomplished by identifying ground control points on an image and matching them to identical points to a map of Berlin at night [9]. Given a list of such points, along with the position of the aircraft at the time the image was taken (recorded using differential GPS), it is a simple matter to fit for the rotation matrix that best aligns the projected pixel positions with the ground control points.…”

Section: Methodsmentioning

confidence: 99%

“…The flight path included considerable areas outside of the city, as well as positions where the aircraft needed to bank in order to change directions. For this reason, we used a custom IDL program to identify all of the cases in which the "individual radiometers" pointed towards a point inside of the area bounded in the mosaic image of Berlin at night image from [9].…”

Section: Methodsmentioning

confidence: 99%

Two camera system for measurement of urban uplight angular distribution

Kyba

Ruhtz

Lindemann

et al. 2013

AIP Conference Proceedings

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Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany

Cited by 190 publications

References 31 publications

Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China

Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China

Multi-Scale Measurement of Regional Inequality in Mainland China during 2005–2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data

Two camera system for measurement of urban uplight angular distribution

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