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Author Song, X.; Mo, Y.; Xuan, Y.; Wang, Q.J.; Wu, W.; Zhang, J.; Zou, X. url  doi
openurl 
  Title Impacts of urbanization on precipitation patterns in the greater Beijing–Tianjin–Hebei metropolitan region in northern China Type Journal Article
  Year 2021 Publication Environmental Research Letters Abbreviated Journal Environ. Res. Lett.  
  Volume 16 Issue 1 Pages 014042  
  Keywords Remote Sensing  
  Abstract We present a statistical method to quantify the contribution of urbanization to precipitation changes during 1958–2017 across the greater Beijing–Tianjin–Hebei metropolitan region in northern China. We find distinct trends in precipitation in the past six decades: decreasing in annual and summer while increasing in other seasons. The spatial patterns of precipitation show discernible terrain-induced characteristics with high values in the buffer zones of plain and mountain areas and low values in the northwestern mountainous regions. Our results indicate that although urbanization has limited impacts on the trends and spatial patterns of precipitation, it has a positive contribution to the changes in precipitation for about 80% of the comparisons conducted, especially in autumn (100%), with the negative contribution being dominant in summer (66.67%). In addition, these results are sensitive to the classifications of urban and rural stations, suggesting that how to classify urban/rural areas is a crucial step to estimate the potential contribution of urbanization to precipitation changes. These findings also support that urbanization can diversify and enhance the variations in precipitation, with urban areas becoming a secondary center along with more increasing or less decreasing trends in precipitation.  
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  Series Volume Series Issue Edition  
  ISSN 1748-9326 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3270  
Permanent link to this record
 

 
Author Chen, Q.; Ye, T.; Zhao, N.; Ding, M.; Ouyang, Z.; Jia, P.; Yue, W.; Yang, X. url  doi
openurl 
  Title Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest Type Journal Article
  Year 2020 Publication EPB: Urban Analytics and City Science Abbreviated Journal  
  Volume Issue Pages in press  
  Keywords Remote Sensing  
  Abstract Nighttime light imageries are widely used for mapping the gross domestic product (GDP) over large areas. However, nighttime light imagery is inappropriate to disaggregate agricultural GDP and inadequate to differentiate the GDP from the secondary and tertiary sectors. Points-of-interest, a kind of geospatial big data with geographic locations and textual descriptions of the category, can effectively distinguish industrial and commercial areas, and therefore have the potential to improve the precise GDP mapping from secondary and tertiary sectors. In this study, a machine learning method, random forest, was used to disaggregate the 2010 county-level census GDP data of mainland China to 1 km × 1 km grids. Six Random Forest models were constructed for different economic sectors to explore the non-linear relationships between various geographic predictors and GDP from different sectors. By fusing points-of-interest of varying categories, the spatial distribution of economic activities from the secondary and tertiary sectors was effectively distinguished. Compared to previous studies, the strategy of developing specific Random Forest models for different sectors generated a more reasonable distribution of GDP. Our results highlight the feasibility of using point-of-interest data in disaggregating non-agricultural GDP by exploiting the complementary features of the different data sources.  
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  Notes Approved no  
  Call Number UP @ altintas1 @ Serial (down) 3269  
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Author Luo, Y. url  openurl
  Title Knowledge Map Analysis on the Application of Nighttime Light Data in Chinese Academic Research Type Journal Article
  Year 2020 Publication International Journal of Science Abbreviated Journal  
  Volume 7 Issue 3 Pages 26-43  
  Keywords Review; Bibliometrics  
  Abstract This paper made a comprehensive and systematic analysis of the application of DMSP/OLS and NPP/VIIRS nighttime light data in Chinese academic research. A literature metrological analysis was carried out. All relevant literatures collected by database CNKI(China National Knowledge Infrastructure)were searched and screened. In addition, a research content analysis was conducted, based on the representative papers of the relevant research. The applied research of nighttime light data involved a wide range of fields, most of which were interdisciplinary, some of them stressed the importance of the optimal utilization and new progress of nighttime light data. The results indicated a trend that the application of nighttime light data has a broad prospect. It also showed a tendency of comprehensive application with other types of statistical data, index information and analysis tools. The application of nighttime light data in academic research also presented a sustainable development trend.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1813-4890 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number UP @ altintas1 @ Serial (down) 3268  
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Author Ye, Y.; Deng, J.; Huang, L.; Zheng, Q.; Wang, K.; Tong, C.; Hong, Y. url  doi
openurl 
  Title Modeling and Prediction of NPP-VIIRS Nighttime Light Imagery Based on Spatiotemporal Statistical Method Type Journal Article
  Year 2020 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal  
  Volume Issue Pages in press  
  Keywords Remote Sensing  
  Abstract The cloud-free monthly composite of the global nighttime light (NTL) data derived from the Suomi National Polar orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) has gained popularity for detecting anthropogenic and socioeconomic activities. However, the monthly VIIRS DNB composite suffers from a data missing problem induced by continuous cloud cover. The full potential of the VIIRS DNB time series is consequently hindered by low-quality and missing observations. This article proposes a spatiotemporal statistical method (STSM) to predict the VIIRS DNB imagery in severe absence of valid observations' situation. The polynomial with the harmonic model was applied to describe the long-term trends and seasonal cycles in time series. A spatial marginal semivariogram was established to quantify the data dependence in space; we then used spatial interpolation to correct the predicted results from temporal curve fitting. The final predicted values were validated with the actual values based on cross-validation. The results suggest that the STSM is suitable for predicting with a high coefficient of determination (R² = 0.922) and a relatively low root-mean-square error (RMSE = 3.40 nW/cm²/sr). We extended the proposed method to forecast future imagery for a five-month period, the performance of which was more stable, with the highest R²/RMSE (0.158 ± 0.010), compared with two other methods. Therefore, the STSM is effective and stable for modeling and predicting the VIIRS DNB monthly composite and will help address the data missing issue.  
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  Notes Approved no  
  Call Number UP @ altintas1 @ Serial (down) 3267  
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Author Elkins, C.; Van Iersel, M. W. url  doi
openurl 
  Title Supplemental Far-red Light-emitting Diode Light Increases Growth of Foxglove Seedlings Under Sole-source Lighting Type Journal Article
  Year 2020 Publication HortTechnology Abbreviated Journal  
  Volume 30 Issue 5 Pages 564-569  
  Keywords Plants  
  Abstract Seedlings may be grown indoors where environmental conditions can be precisely controlled to ensure consistent and reliable production. The optimal spectrum for production under sole-source lighting is currently unknown. Far-red light (λ = 700–800 nm) typically is not a significant part of the spectrum of light-emitting diode (LED) grow lights. However, far-red light is photosynthetically active and can enhance leaf elongation, which may result in larger leaves and increased light interception. We hypothesized that adding far-red light to sole-source lighting would increase the growth of ‘Dalmatian Peach’ foxglove (Digitalis purpurea) seedlings grown under white LED lights, potentially shortening production times. Our objective was to evaluate the effect of far-red light intensities, ranging from 4.0 to 68.8 µmol·m−2·s−1, on the growth and morphology of foxglove seedlings. Foxglove seedlings were grown in a growth chamber with a photosynthetic photon flux density (PPFD) of 186 ± 6.4 μmol·m−2·s−1 and supplemental far-red light intensities ranging from 4.0 to 68.8 µmol·m−2·s−1. As far-red light increased, shoot dry weight, root dry weight, plant height, and plant height/number of leaves increased by 38% (P = 0.004), 20% (P = 0.029), 38% (P = 0.025), and 34% (P = 0.024), respectively, while root weight fraction decreased 16% (P = 0.034). Although we expected supplemental far-red light to induce leaf and/or stem expansion, specific leaf area and compactness (two measures of morphology) were unaffected. Because a 37% increase in total photon flux density (PPFD plus far-red light) resulted in a 34.5% increase in total plant dry weight, the increased growth likely was due to increased photosynthesis rather than a shade-acclimation response. The growth response was linear across the 4.0 to 68.8 µmol·m−2·s−1 range of far-fed light tested, so we were unable to determine a saturating far-red photon flux density.  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number UP @ altintas1 @ Serial (down) 3266  
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