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Author Cho, M., Park, R., Yoon, J., Choi, Y., Jeong, J. I., Labzovskii, L., Fu, J. S., Huang, K., Jeong, S., & Kim, B. url  openurl
  Title (up) A missing component of Arctic warming: Black carbon from gas flaring Type Journal Article
  Year 2019 Publication Environmental Research Letters Abbreviated Journal  
  Volume Issue Pages  
  Keywords Remote Sensing  
  Abstract Gas flaring during oil extraction over the Arctic region is the primary source of warming-inducing aerosols (e.g., black carbon (BC)) with a strong potential to affect regional climate change. Despite continual BC emissions near the Arctic Ocean via gas flaring, the climatic impacts of BC related to gas flaring remain uncertain. Here, we present simulations of potential gas flaring using an earth system model with comprehensive aerosol physics that to show that increases in BC from gas flaring can potentially explain a significant fraction of Arctic warming. BC emissions from gas flaring over high latitudes contribute to locally confined warming over the source region, especially during the Arctic spring through BC-induced local albedo reduction. This local warming invokes remote and temporally lagging sea-ice melting feedback processes over the Arctic Ocean during winter. Our findings imply that a regional change in anthropogenic aerosol forcing is capable of changing Arctic temperatures in regions far from the aerosol source via time-lagged, sea-ice-related Arctic physical processes. We suggest that both energy consumption and production processes can increase Arctic warming.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2645  
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Author Ma, X.; Li, C.; Tong, X.; Liu, S. url  doi
openurl 
  Title (up) A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data Type Journal Article
  Year 2019 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 11 Issue 21 Pages 2516  
  Keywords Remote Sensing  
  Abstract Recent advances in the fusion technology of remotely sensed data have led to an increased availability of extracted urban information from multiple spatial resolutions and multi-temporal acquisitions. Despite the existing extraction methods, there remains the challenging task of fully exploiting the characteristics of multisource remote sensing data, each of which has its own advantages. In this paper, a new fusion approach for accurately extracting urban built-up areas based on the use of multisource remotely sensed data, i.e., the DMSP-OLS nighttime light data, the MODIS land cover product (MCD12Q1) and Landsat 7 ETM+ images, was proposed. The proposed method mainly consists of two components: (1) the multi-level data fusion, including the initial sample selection, unified pixel resolution and feature weighted calculation at the feature level, as well as pixel attribution determination at decision level; and (2) the optimized sample selection with multi-factor constraints, which indicates that an iterative optimization with the normalized difference vegetation index (NDVI), the modified normalized difference water index (MNDWI), and the bare soil index (BSI), along with the sample training of the support vector machine (SVM) and the extraction of urban built-up areas, produces results with high credibility. Nine Chinese provincial capitals along the Silk Road Economic Belt, such as Chengdu, Chongqing, Kunming, Xining, and Nanning, were selected to test the proposed method with data from 2001 to 2010. Compared with the results obtained by the traditional threshold dichotomy and the improved neighborhood focal statistics (NFS) method, the following could be concluded. (1) The proposed approach achieved high accuracy and eliminated natural elements to a great extent while obtaining extraction results very consistent to those of the more precise improved NFS approach at a fine scale. The average overall accuracy (OA) and average Kappa values of the extracted urban built-up areas were 95% and 0.83, respectively. (2) The proposed method not only identified the characteristics of the urban built-up area from the nighttime light data and other daylight images at the feature level but also optimized the samples of the urban built-up area category at the decision level, making it possible to provide valuable information for urban planning, construction, and management with high accuracy.  
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  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2731  
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Author Wang, G., Wang, S., Zhang, L., Sun, F., Yan, F., & Yang, X. url  doi
openurl 
  Title (up) A New Light Control Method with Charge Induction of Moving Target Type Journal Article
  Year 2019 Publication IEEE Sensors Journal Abbreviated Journal  
  Volume 19 Issue 16 Pages  
  Keywords Lighting; Instrumentation  
  Abstract Intelligent lamp control system has been widely studied all over the world because of its energy saving and social effect. In this paper, a new intelligent lamp control method based on charge induction for moving target is proposed. The detection model is established with the surface charge induction and verified by a luggage detection experiment. The intelligent lamp control system using the detection method is carried out. The performance of the system demonstrates that the proposed method can detect the moving target at any orientation whatever with or without occlusion and the detection distance can reach more than 3 m for the pedestrian.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2470  
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Author Chen, X.; Jia, X.; Pickering, M. url  doi
openurl 
  Title (up) A Nighttime Lights Adjusted Impervious Surface Index (NAISI) with Integration of Landsat Imagery and Nighttime Lights Data from International Space Station Type Journal Article
  Year 2019 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation  
  Volume 83 Issue Pages 101889  
  Keywords Remote Sensing  
  Abstract Accurate mapping of impervious surface is essential for both urbanization monitoring and micro-ecosystem research. However, the confusion between impervious surface and bare soil is the major concern due to their high spectral similarity in optical imagery. Integration of multi-sensor images is considered to offer a better capacity for distinguishing impervious surface from background. In this paper, a new impervious surface index namely nighttime light adjusted impervious surface index (NAISI), which integrates information from Landsat and nighttime lights (NTL) data from International Space Station (NTL-ISS), is proposed. Parallel to baseline subtraction approaches, NAISI integrate the information from the first component of principal component (PC) transformation of NTL-ISS, the Soil Adjusted Vegetation Index (SAVI) and the third component of tasseled cap transform (TC3) of the Landsat data. Visual interpretation and quantitative indices (SDI, Kappa and overall accuracy) were adopted to elevate the accuracy and separability of NAISI. Comparative analysis with NTL derived light intensity, optical indices, as well as existing optical-NTL indices were conducted to examine the performance of NAISI. Results indicate that NAISI achieves a more promising capability in impervious surface mapping. This demonstrates the superiority of integration of optical and nighttime lights information for imperviousness detection.  
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  ISSN 0303-2434 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2658  
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Author Rea, M.; Skinner, N.; Bullough, J. url  doi
openurl 
  Title (up) A Novel Barricade Warning Light System Using Wireless Communications Type Journal Article
  Year 2018 Publication SAE Technical Paper 2018-01-5036 Abbreviated Journal  
  Volume In press Issue Pages  
  Keywords Lighting; Safety  
  Abstract Workers in construction and transportation sectors are at increased risk for work-related injuries and fatalities by nearby traffic. Barricade-mounted warning lights meeting current specifications do not always provide consistent and adequate visual guidance to drivers and can contribute to glare and reduced safety. Through an implementation of sensors and wireless communications, a novel, intelligent set of warning lights and a tablet-based interface were developed. The lights modulate between 100% and 10% of maximum intensity rather than between 100% and off in order to improve visual guidance and adjust their overall intensity based on ambient conditions. The lights can be synchronized or operated in sequential flash patterns at any frequency between 1 and 4 Hz, and sequential patterns automatically update based on global positioning satellite (GPS) locations displayed in the control interface. A successful field demonstration of the system verified that its functions were viewed favorably by transportation safety personnel.  
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  Notes Approved no  
  Call Number NC @ ehyde3 @ Serial 2117  
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