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Author Tilottama, G., Sutton, P. C., & Elvidge, C. D. url  openurl
  Title Informal Economy and Remittance Estimates of India Using Nighttime Imagery Type Journal Article
  Year 2010 Publication International Journal of Ecological Economics & Statistics Abbreviated Journal  
  Volume 17 Issue Pages  
  Keywords Remote Sensing; Economics  
  Abstract (up) Accurate estimates of the magnitude and spatial distribution of both formal and informal economic activity have many useful applications. Developing alternative methods for making estimates of these economic activities may prove to be useful when other measures are of suspect accuracy or unavailable. This research explores the potential for estimating the formal and informal economy for India using known relationships between the spatial patterns of nighttime satellite imagery and economic activity in the United States (U.S.). Regression models have been developed between spatial patterns of nighttime imagery and Adjusted Official Gross State Product (AGSP) for the states of the U.S. The slope and intercept parameters derived from the regression models of the U.S. were blindly applied to India, resulting in an underestimation of Gross State Income (GSI) for each state and Union Territory (UT) of India because of the lower level of urbanization in India in comparison to the U.S. However, a comparison of estimated GSI from the nighttime lights image and the official Gross State Product (GSP) of the states and UTs of India indicates a high correlation between them (r = 0.93). The different levels of urbanization (i.e. percent of population in urban areas) in the U.S. and India are used to adjust the Estimated Gross Domestic Income (EGDI) by multiplying by the ratio of the percentage of the population in urban areas for the two countries. This gives the Adjusted Estimated Gross Domestic Income of India (AEGDI), which is compared with the official Gross National Income (GNI) estimates of India’s states and UTs. The results suggest that the magnitude of India’s informal economy and the inflow of remittances are 150 percent larger than their existing official estimates in the GNI.  
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  Call Number IDA @ intern @ Serial 2554  
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Author Chen, X.; Jia, X.; Pickering, M. url  doi
openurl 
  Title 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 (up) 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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  Series Volume Series Issue Edition  
  ISSN 0303-2434 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2658  
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Author Xu, P.; Jin, P.; Cheng, Q. url  doi
openurl 
  Title Monitoring Regional Urban Dynamics Using DMSP/OLS Nighttime Light Data in Zhejiang Province Type Journal Article
  Year 2020 Publication Mathematical Problems in Engineering Abbreviated Journal Mathematical Problems in Engineering  
  Volume 2020 Issue Pages 1-10  
  Keywords Remote Sensing  
  Abstract (up) Accurate monitoring of urban regions and urban sprawls is critical to the detection and assessment of regional development. The nighttime light images of Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) provide us direct solutions to make spatial descriptions of urban regions. Unfortunately, accurate monitoring of urban regions is apt to be hampered due to the shortages of the DMSP/OLS data. In this study, we utilized a new urban region extraction strategy based on the edge-detection method which is widely applied in automatic digital image processing. The edges of urban areas in Zhejiang province were identified based on the distributions and values of pixels. Compared with other traditional methods, the urban regions extracted in this study present a higher overall accuracy and kappa coefficient (OA = 93.1409%; Kappa = 0.8755). Two periods of the urban dynamic process and urban sprawl pattern in Zhejiang from 1992–2013 were further detected by the proposed method. At city level, the drastic increase in urban areas was found in cities of Hangzhou and Ningbo. This study provides an objective and convenient solution to the accurate identification of urban regions, which is also an important step to better understand the urban dynamics and urban development.  
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  ISSN 1024-123X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2979  
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Author Liang, H.; Guo, Z.; Wu, J.; Chen, Z. url  doi
openurl 
  Title GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression Type Journal Article
  Year 2019 Publication Advances in Space Research Abbreviated Journal Advances in Space Research  
  Volume in press Issue Pages S0273117719307136  
  Keywords Remote Sensing; GDP; gross domestic product; spatialization; VIIRS-DNB; Nighttime light; numerical methods  
  Abstract (up) Accurate spatial distribution information on gross domestic product (GDP) is of great importance for the analysis of economic development, industrial distribution and urbanization processes. Traditional administrative unit-based GDP statistics cannot depict the detailed spatial differences in GDP within each administrative unit. This paper presents a study of GDP spatialization in Ningbo City, China based on National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL) data and town-level GDP statistical data. The Landsat image, land cover, road network and topographic data were also employed as auxiliary data to derive independent variables for GDP modelling. Multivariate linear regression (MLR) and random forest (RF) regression were used to estimate GDP at the town scale and were assessed by cross-validation. The results show that the RF model achieved significantly higher accuracy, with a mean absolute error (MAE) of 109.46 million China Yuan (CNY)·km-2 and a determinate coefficient (R2=0.77) than the MLR model (MAE=161.8 million CNY·km-2, R2=0.59). Meanwhile, by comparing with the estimated GDP data at the county level, the town-level estimated data showed a better performance in mapping GDP distribution (MAE decreased from 115.1 million CNY·km-2 to 74.8 million CNY·km-2). Among all of the independent variables, NTL, land surface temperature (Ts) and plot ratio (PR) showed higher impacts on the GDP estimation accuracy than the other variables. The GDP density map generated by the RF model depicted the detailed spatial distribution of the economy in Ningbo City. By interpreting the spatial distribution of the GDP, we found that the GDP of Ningbo was high in the northeast and low in the southwest and formed continuous clusters in the north. In addition, the GDP of Ningbo also gradually decreased from the urban centre to its surrounding areas. The produced GDP map provides a good reference for the future urban planning and socio-economic development strategies.  
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  ISSN 0273-1177 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2680  
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Author Eccard, J.A.; Scheffler, I.; Franke, S.; Hoffmann, J.; Leather, S.; Stewart, A. url  doi
openurl 
  Title Off-grid: solar powered LED illumination impacts epigeal arthropods Type Journal Article
  Year 2018 Publication Insect Conservation and Diversity Abbreviated Journal Insect Conserv Divers  
  Volume 11 Issue 6 Pages 600-607  
  Keywords Animals; Ecology  
  Abstract (up) Advances in LED technology combined with solar, storable energy bring light to places remote from electricity grids. Worldwide more than 1.3 billion of people are living off‐grid, often in developing regions of high insect biodiversity. In developed countries, dark refuges for wildlife are threatened by ornamental garden lights. Solar powered LEDs (SPLEDs) are cheaply available, dim, and often used to illuminate foot paths, but little is known on their effects on ground living (epigeal) arthropods.

We used off‐the‐shelf garden lamps with a single ‘white’ LED (colour temperature 7250 K) to experimentally investigate effects on attraction and nocturnal activity of ground beetles (Carabidae).

We found two disparate and species‐specific effects of SPLEDs. (i) Some nocturnal, phototactic species were not reducing activity under illumination and were strongly attracted to lamps (>20‐fold increase in captures compared to dark controls). Such species aggregate in lit areas and SPLEDs may become ecological traps, while the species is drawn from nearby, unlit assemblages. (ii) Other nocturnal species were reducing mobility and activity under illumination without being attracted to light, which may cause fitness reduction in lit areas.

Both reactions offer mechanistic explanations on how outdoor illumination can change population densities of specific predatory arthropods, which may have cascading effects on epigeal arthropod assemblages. The technology may thus increase the area of artificial light at night (ALAN) impacting insect biodiversity.

Measures are needed to mitigate effects, such as adjustment of light colour temperature and automated switch‐offs.
 
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  ISSN 1752458X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number NC @ ehyde3 @ Serial 2085  
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