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Author Hiltunen, A. P., Kumpula, T., &Tykkyläinen, M. url  openurl
  Title Yövalaistuksen ja valopäästöjen alueellinen jakautuminen Type Journal Article
  Year 2018 Publication Geoinformatiikka Yhteiskunnassa Abbreviated Journal  
  Volume 130 Issue 4 Pages  
  Keywords Remote Sensing  
  Abstract Remotely-sensed night-time lights (NTL) reveal the occurrence of human development while excessive light emissions cause ecological impacts and may create human health hazards. The aim of this research is to find out the factors affecting the quantity of remotely-sensed NTLs in Finland at 2015. We also aim to unveil how much NTLs have changed in Finland from 1993 to 2012 and what is the share of NTLs for different land use types in Finland in 2015. Answers to these questions are achieved with satellite radiance data and data on spatial structure, multiple linear regression (MLR), and change-detection methods. National and regional MLR models were produced to explain NTL and to compare the suitability of this modelling approach in different regions. Radiance is explained by population density, industrial building density, and lit roads density. Surprisingly, the brightest areas in Finland seem to be in Närpiö, a rural area with low population density but where greenhouse farming is common. Based on change-detection, new light sources have emerged because of the expansion of mining and tourism industries.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Finnish Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ intern @ Serial 2354  
Permanent link to this record
 

 
Author Wang, L.; Wang, S.; Zhou, Y.; Liu, W.; Hou, Y.; Zhu, J.; Wang, F. url  doi
openurl 
  Title Mapping population density in China between 1990 and 2010 using remote sensing Type Journal Article
  Year 2018 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 210 Issue Pages 269-281  
  Keywords Remote Sensing  
  Abstract Knowledge of the spatial distribution of populations at finer spatial scales is of significant value and fundamental to many applications such as environmental change, urbanization, regional planning, public health, and disaster management. However, detailed assessment of the population distribution data of countries that have large populations (such as China) and significant variation in distribution requires improved data processing methods and spatialization models. This paper described the construction of a novel population spatialization method by combining land use/cover data and night-light data. Based on the analysis of data characteristics, the method used partial correlation analysis and geographically weighted regression to improve the distribution accuracy and reduce regional errors. China's census data for the years 1990, 2000, and 2010 were assessed. The results showed that the method was better at population spatialization than methods that use only night-light data or land use/cover data and global linear regression. Evaluation of overall accuracies revealed that the coefficient of correlation R-square was >0.90 and increased by >0.13 in the years 1990, 2000, and 2010. Moreover, the local R-square of over 90% of the samples (counties) was higher than the adjusted R-square of the general linear regression model. Furthermore, the gridded population density datasets obtained by this method can be used to analyse spatial-temporal patterns of population density and provide population distribution information with increased accuracy and precision compared to conventional models.  
  Address  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 2480  
Permanent link to this record
 

 
Author Tan, M.; Li, X.; Li, S.; Xin, L.; Wang, X.; Li, Q.; Li, W.; Li, Y.; Xiang, W. url  doi
openurl 
  Title Modeling population density based on nighttime light images and land use data in China Type Journal Article
  Year 2018 Publication Applied Geography Abbreviated Journal Applied Geography  
  Volume 90 Issue Pages 239-247  
  Keywords Remote Sensing  
  Abstract Population change is a key variable that influences climate change, ecological construction, soil and water use, and economic growth. Census data are always point data, whereas planar data are often required in scientific research. By using nighttime light (NTL) images and land use data, combined with the fifth and sixth census data of China at the county level, we carried out spatial matching on the population of each county, respectively, and established population density diagrams of China for 2000 and 2010, which had a spatial resolution of 1 × 1 km. The method proposed in this paper is relatively simple and has a high simulation precision. The results showed that during the first ten years of the 21st century, there are some remarkable characteristics in Chinese population spatial pattern change: 1) the “disappearance” of intermediate-density regions; namely, areas with a population density between 500 and 1500 persons/km2 have decreased by 41% during the ten years; 2) continuous growth of high-density regions; namely, areas with a population density of more than 1500 persons/km2 have increased by 76%; 3) an expansion tendency of low-density regions similar to high-density regions.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0143-6228 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 2481  
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Author Shi, K.; Yu, B.; Huang, C.; Wu, J.; Sun, X. url  doi
openurl 
  Title Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road Type Journal Article
  Year 2018 Publication Energy Abbreviated Journal Energy  
  Volume 150 Issue Pages 847-859  
  Keywords Remote Sensing  
  Abstract Fully understanding spatiotemporal patterns of electric power consumption (EPC) is one of the key questions related to sustainable socioeconomic and environmental development in countries along the Silk Road Economic Belt and the 21st-Century Maritime Silk Road (hereinafter referred to as the Belt and Road countries). However, studies about spatiotemporal patterns of EPC in the Belt and Road countries are still scarce due to the lack of reliable data. This study attempted to investigate spatiotemporal patterns of EPC in the Belt and Road countries from multiple perspectives. Firstly, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime stable light data were used to estimate EPC from 1992 to 2013. Subsequently, the mathematical statistic method, standard deviational ellipse, rank size rule, and correlation analysis were employed to evaluate the EPC change in detail. The results reveal that the EPC growth mainly occurs in the developing countries, especially in China. The geographical distribution of EPC in the Belt and Road countries is oriented in the Northwest-Southeast direction between 1992 and 2013. Based on the rank size rule analysis, the slope values of q are −2.392 and −2.175 between 1992 and 2013, with an average R2 value of 0.664, indicating a clear clustering pattern of EPC. It is also proved that GDP is a more important impact factor to EPC than the population. Our findings can offer an effective way to understand spatiotemporal evolution characteristics of EPC in the Belt and Road countries, and provide references for regional socioeconomic development and cooperation.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0360-5442 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number GFZ @ kyba @ Serial 2487  
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Author Vaaja, M. T., Kurkela, M., Maksimainen, M., Virtanen, J., Kukko, A., Lehtola, V. V., Hyyppä, J., & Hyyppä, H. url  doi
openurl 
  Title MOBILE MAPPING OF NIGHT-TIME ROAD ENVIRONMENT LIGHTING CONDITIONS Type Journal Article
  Year 2018 Publication The Photogrammetric Journal of Finland Abbreviated Journal  
  Volume 26 Issue 1 Pages  
  Keywords Lighting; Remote Sensing  
  Abstract The measurement of 3D geometry for road environments is one of the main applications of mobile mapping systems (MMS). We present mobile mapping applied to a night-time road environment. We integrate the measurement of luminances into a georeferenced 3D point cloud. The luminance measurement and the 3D point cloud acquired with an MMS are used in assessing road environment lighting conditions. Luminance (cd/m2) was measured with a luminance-calibrated panoramic camera system, and point cloud was produced by laser scanners. The relative orientation between the GNSS, IMU, camera, and laser scanner sensors was solved in order to

integrate the data sets into the same coordinate system. Hence, the georeferenced luminance values are transferable into geographic information systems (GIS). The method provides promising results for future road lighting assessment. In addition, this article demonstrates the night-time mobile mapping principle applied to a road section in Helsinki, Finland. Finally, we discuss the

future applications of mobile-mapped luminance point clouds.
 
  Address  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ intern @ Serial 2650  
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