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Author Li, H.; Jia, Y.; Zhou, Y. url  doi
openurl 
  Title Urban Expansion Pattern Analysis and Planning Implementation Evaluation Based on using Fully Convolution Neural Network to Extract Land Range Type Journal Article
  Year 2018 Publication NeuroQuantology Abbreviated Journal  
  Volume (up) 16 Issue 5 Pages 814-822  
  Keywords Remote Sensing  
  Abstract In recent years, due to the rapid development of China’s urban, it is significant for effective implementation of urban science development and planning that grasp the process of urban development, analyze the potential of subsequent development, and evaluate the matching degree of the development status and the planning. Thereinto, an effective way we exercise today is to evaluate urban expansion pattern analysis and planning implementation. According to research results of the urban land range extraction method based on the support vector machine (SVM) and fully convolution neural network (FCN) of the depth learning method for the night light image data, this paper describes an integration of remote sensing (RS) and geographic information system (GIS) and analyzes the urban expansion pattern of Beijing based on the computed results of landscape pattern indices. The results unveil that from 1990s to 2010s, Beijing took on a circle expansion mode on the ground the spatial agglomeration degree gradually increases and the expansion potential has spatial distinctions, which basically meets the requirements of the overall planning.  
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  Notes Approved no  
  Call Number NC @ ehyde3 @ Serial 2088  
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Author Benis, K.; Ferrão, P. url  doi
openurl 
  Title Commercial farming within the urban built environment – Taking stock of an evolving field in northern countries Type Journal Article
  Year 2018 Publication Global Food Security Abbreviated Journal Global Food Security  
  Volume (up) 17 Issue Pages 30-37  
  Keywords Planning  
  Abstract Urban horticulture has historically contributed to the supply of fresh produce to urban dwellers and has been gaining popularity over the last years in the Global North, with growing awareness of environmental and health concerns. Over the past few years, commercial farms have been emerging in major northern cities, promoting a trend of environmentally friendly food, grown in highly efficient installations on top of or in buildings. This paper presents a scoping study, including: (i) a review of the scientific literature addressing environmental, economic and social aspects of commercial farming in urban contexts; and (ii) a consultation exercise to inform and validate findings from the review, consisting of semi-structured interviews with a few practitioners in the Netherlands. The main findings are: (1) while the recent proliferation of commercial farms in major cities shows that these new modes of urban agricultural production are gaining momentum, establishing their viability as compared to conventional agricultural practices is a challenge when it comes to scalability, resource efficiency, and cost-effectiveness; (2) as it is still a relatively new field, very few studies have been conducted to quantitatively assess the impacts of commercial farming in urban areas; (3) given the complex environmental, economic and social dimensions of urban agriculture, holistic decision support tools could help integrating them in urban areas.  
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  ISSN 2211-9124 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1843  
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Author Mascovich, K. A., Larson, L. R., & Andrews, K. M. url  doi
openurl 
  Title Lights On, or Lights Off? Hotel Guests' Response to Nonpersonal Educational Outreach Designed to Protect Nesting Sea Turtles Type Journal Article
  Year 2018 Publication Chelonian Conservation and Biology Abbreviated Journal  
  Volume (up) 17 Issue 2 Pages 206-215  
  Keywords Education; Psychology  
  Abstract Light pollution from beachfront hotels has the potential to impact nesting and hatching sea turtles. Education strategies could be used to alter visitor behavior and mitigate this threat. We tested the efficacy of a sea turtle–friendly education card that encouraged visitors to “protect the night, hide the light.” Cards were placed in beachfront hotel rooms at a prominent sea turtle nesting site: Jekyll Island, Georgia. We assessed visitor responses by conducting nightly observations to determine the proportion of occupied guest rooms with beach-visible lights under 2 different scenarios (cards present or cards absent). We found that less than half of all hotel guests closed room blinds to minimize artificial light on the nesting beach, and compliance rates seemed to be lower during peak visitation times. The nonpersonal educational treatment (card) had little effect on visitors' sea turtle–friendly lighting choices and behaviors, highlighting the need for other approaches to encourage responsible tourist behavior at ecologically sensitive beach destinations.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2316  
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Author Jiang, W.; He, G.; Long, T.; Guo, H.; Yin, R.; Leng, W.; Liu, H.; Wang, G. url  doi
openurl 
  Title Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution Type Journal Article
  Year 2018 Publication Sensors Abbreviated Journal Sensors  
  Volume (up) 18 Issue 9 Pages 2900  
  Keywords Remote Sensing; Instrumentation  
  Abstract The successful launch of Luojia 1-01 complements the existing nighttime light data with a high spatial resolution of 130 m. This paper is the first study to assess the potential of using Luojia 1-01 nighttime light imagery for investigating artificial light pollution. Eight Luojia 1-01 images were selected to conduct geometric correction. Then, the ability of Luojia 1-01 to detect artificial light pollution was assessed from three aspects, including the comparison between Luojia 1-01 and the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), the source of artificial light pollution and the patterns of urban light pollution. Moreover, the advantages and limitations of Luojia 1-01 were discussed. The results showed the following: (1) Luojia 1-01 can detect a higher dynamic range and capture the finer spatial details of artificial nighttime light. (2) The averages of the artificial light brightness were different between various land use types. The brightness of the artificial light pollution of airports, streets, and commercial services is high, while dark areas include farmland and rivers. (3) The light pollution patterns of four cities decreased away from the urban core and the total light pollution is highly related to the economic development. Our findings confirm that Luojia 1-01 can be effectively used to investigate artificial light pollution. Some limitations of Luojia 1-01, including its spectral range, radiometric calibration and the effects of clouds and moonlight, should be researched in future studies.  
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  ISSN 1424-8220 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1997  
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Author Li, X.; Zhao, L.; Li, D.; Xu, H. url  doi
openurl 
  Title Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery Type Journal Article
  Year 2018 Publication Sensors (Basel, Switzerland) Abbreviated Journal Sensors (Basel)  
  Volume (up) 18 Issue 11 Pages  
  Keywords Instrumentation; Remote Sensing  
  Abstract Luojia 1-01 satellite, launched on 2 June 2018, provides a new data source of nighttime light at 130 m resolution and shows potential for mapping urban extent. In this paper, using Luojia 1-01 and VIIRS nighttime light imagery, we compared several methods for extracting urban areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) and SVM supervised classification. According to the accuracy assessment, the HSI method using LJ1-01 data had the best performance in urban extent extraction, which presented the largest Kappa Coefficient value, 0.834, among all the results. For the urban areas extracted by VIIRS based HSI method, the largest Kappa Coefficient value was 0.772. In contrast, the largest Kappa Coefficient values obtained by STS method were 0.79 and 0.7512 respectively when using LJ1-01 and VIIRS data, while for SVM method the values were 0.7829 and 0.7486 when using Landsat-LJ and Landsat-VIIRS composite data respectively. The experimented results demonstrated that the utilization of nighttime light imagery can largely improve the accuracy of urban extent extraction and LJ1-01 data, with a higher resolution and more abundant spatial information, can lead to better identification results than its predecessors.  
  Address Key Laboratory of the Ministry of Land and Resources for Law Evaluation Engineering, Wuhan 430074, China. xuhuimin1985_2008@163.com  
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  Series Volume Series Issue Edition  
  ISSN 1424-8220 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30380616 Approved no  
  Call Number GFZ @ kyba @ Serial 2056  
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