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Author Jiang, J.; Zhang, J.; Zhang, Y.; Zhang, C.; Tian, G.
Title Estimating nitrogen oxides emissions at city scale in China with a nightlight remote sensing model Type Journal Article
Year 2016 Publication (down) The Science of the Total Environment Abbreviated Journal Sci Total Environ
Volume 544 Issue Pages 1119-1127
Keywords Remote sensing
Abstract Increasing nitrogen oxides (NOx) emissions over the fast developing regions have been of great concern due to their critical associations with the aggravated haze and climate change. However, little geographically specific data exists for estimating spatio-temporal trends of NOx emissions. In order to quantify the spatial and temporal variations of NOx emissions, a spatially explicit approach based on the continuous satellite observations of artificial nighttime stable lights (NSLs) from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) was developed to estimate NOx emissions from the largest emission source of fossil fuel combustion. The NSL based model was established with three types of data including satellite data of nighttime stable lights, geographical data of administrative boundaries, and provincial energy consumptions in China, where a significant growth of NOx emission has experienced during three policy stages corresponding to the 9th-11th Five-Year Plan (FYP, 1995-2010). The estimated national NOx emissions increased by 8.2% per year during the study period, and the total annual NOx emissions in China estimated by the NSL-based model were approximately 4.1%-13.8% higher than the previous estimates. The spatio-temporal variations of NOx emissions at city scale were then evaluated by the Moran's I indices. The global Moran's I indices for measuring spatial agglomerations of China's NOx emission increased by 50.7% during 1995-2010. Although the inland cities have shown larger contribution to the emission growth than the more developed coastal cities since 2005, the High-High clusters of NOx emission located in Beijing-Tianjin-Hebei regions, the Yangtze River Delta, and the Pearl River Delta should still be the major focus of NOx mitigation. Our results indicate that the readily available DMSP/OLS nighttime stable lights based model could be an easily accessible and effective tool for achieving strategic decision making toward NOx reduction.
Address College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0048-9697 ISBN Medium
Area Expedition Conference
Notes PMID:26779958 Approved no
Call Number LoNNe @ kyba @ Serial 1335
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Author Zhen, J.; Pei, T.; Xie, S.
Title Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil Type Journal Article
Year 2019 Publication (down) The Science of the Total Environment Abbreviated Journal Sci Total Environ
Volume 659 Issue Pages 363-371
Keywords Remote Sensing
Abstract The spatial distribution of potentially toxic metals (PTMs) has been shown to be related to anthropogenic activities. Several auxiliary variables, such as those related to remote sensing data (e.g. digital elevation models, land use, and enhanced vegetation index) and soil properties (e.g. pH, soil type and cation exchange capacity), have been used to predict the spatial distribution of soil PTMs. However, these variables are mostly focused on natural processes or a single aspect of anthropogenic activities and cannot reflect the effects of integrated anthropogenic activities. Nighttime lights (NTL) images, a representative variable of integrated anthropogenic activities, may have the potential to reflect PTMs distribution. To uncover this relationship and determine the effects on evaluation precision, the NTL was employed as an auxiliary variable to map the distribution of PTMs in the United Kingdom. In this study, areas with a digital number (DN)>/=50 and an area>30km(2) were extracted from NTL images to represent regions of high-frequency anthropogenic activities. Subsequently, the distance between the sampling points and the nearest extracted area was calculated. Barium, lead, zinc, copper, and nickel concentrations exhibited the highest correlation with this distance. Their concentrations were mapped using distance as an auxiliary variable through three different kriging methods, i.e., ordinary kriging (OK), cokriging (CK), and regression kriging (RK). The accuracy of the predictions was evaluated using the leave-one-out cross validation method. Regardless of the elements, CK and RK always exhibited lower mean absolute error and root mean square error, in contrast to OK. This indicates that using the NTL as the auxiliary variable indeed enhanced the prediction accuracy for the relevant PTMs. Additionally, RK showed superior results in most cases. Hence, we recommend RK for prediction of PTMs when using the NTL as the auxiliary variable.
Address State Key Laboratory of Geological Processes and Mineral Resources(GPMR), Faculty of Earth Sciences, China University of Geosciences, Wuhan, 430074, China
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Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0048-9697 ISBN Medium
Area Expedition Conference
Notes PMID:30599355 Approved no
Call Number GFZ @ kyba @ Serial 2494
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Author Xue, X.; Lin, Y.; Zheng, Q.; Wang, K.; Zhang, J.; Deng, J.; Abubakar, G.A.; Gan, M.
Title Mapping the fine-scale spatial pattern of artificial light pollution at night in urban environments from the perspective of bird habitats Type Journal Article
Year 2019 Publication (down) The Science of the Total Environment Abbreviated Journal Sci Total Environ
Volume 702 Issue Pages 134725
Keywords Remote Sensing; Animals; ALAN pollution; Circuitscape; Land cover; Nighttime light image; Urban ecology
Abstract The increase in artificial light at night (ALAN) is a global concern, while the pattern of ALAN pollution inside urban areas has not yet been fully explored. To fill this gap, we developed a novel method to map fine-scale ALAN pollution patterns in urban bird habitats using high spatial resolution ALAN satellite data. First, an ALAN pollution map was derived from JL1-3B satellite images. Then, the core habitat nodes (CHNs) representing the main habitats for urban birds to inhabit were identified from the land cover map, which was produced using Gaofen2 (GF2) data, and the high probability corridors (HPCs), indicating high connectivity paths, were derived from Circuitscape software. Finally, the ALAN patterns in the CHNs and HPCs were analysed, and the mismatch index was proposed to evaluate the trade-off between human activity ALAN demands and ALAN supply for the protection of urban birds. The results demonstrated that 115 woodland patches covering 4149.0ha were selected as CHNs, and most of the CHNs were large urban parks or scenic spots located in the urban fringe. The 2923 modelled HPCs occupying 1179.2ha were small remaining vegetation patches and vegetated corridors along the major transport arteries. The differences in the ALAN pollution patterns between CHNs and HPCs were mainly determined by the characteristics of the green space patches and the light source types. The polluted regions in the CHNs were clustered in a few regions that suffered from concentrated and intensive ALAN, while most of the CHNs remained unaffected. In contrast, the 727 HPCs were mainly polluted by street lighting was scattered and widely distributed, resulting a more varying influence to birds than that in the CHNs. Relating patterns of the ALAN to bird habitats and connectivity provides meaningful information for comprehensive planning to alleviate the disruptive effects of ALAN pollution.
Address College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China. Electronic address: ganmuye@zju.edu.cn
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN 0048-9697 ISBN Medium
Area Expedition Conference
Notes PMID:31734607 Approved no
Call Number GFZ @ kyba @ Serial 2765
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Author Bauhr, M. & Carlitz, R.
Title Transparency and the quality of local public service provision Type Journal Article
Year 2019 Publication (down) The Quality of Government Institute Abbreviated Journal QOG
Volume Issue 5 Pages 1-43
Keywords Economics; Remote Sensing; public service delivery; Vietnam; Asia
Abstract Transparency has been widely promoted as a tool for improving public service

delivery; however, empirical evidence is inconclusive. We suggest that the effects of transparency on service provision are contingent on the nature of the service. Specifically, transparency is more likely to improve the quality of service provision when street-level discretion is high, since discretion increases information asymmetries, and, in the absence of transparency, allows officials to target public services in suboptimal ways. Using finely grained data from the Vietnam Provincial Governance and Public Administration Performance Index between 2011–2017, we show that communes that experience increases in transparency also experience improved quality of education and health (services characterized by greater discretion), while the quality of infrastructure

provision (characterized by less discretion) bears no relation to increased transparency. The findings help us understand when transparency can improve service provision, as well the effects of transparency reforms in non-democratic settings.
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Notes Approved no
Call Number IDA @ intern @ Serial 2637
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Author Habib, A.; Pullivelli, A.; Mitishita, E.; Ghanma, M.; Kim, E.-M.
Title Stability analysis of low-cost digital cameras for aerial mapping using different georeferencing techniques. Type Journal Article
Year 2006 Publication (down) The Photogrammetric Record Abbreviated Journal
Volume 21 Issue 113 Pages 29–43
Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 944
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