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  • Data  (2)
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  • Data Portal  (1)
  • Hyperspectral  (1)
  • Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten  (2)
  • English  (2)
  • 2010-2014  (2)
  • 2005-2009
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  • Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten  (2)
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  • English  (2)
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  • 2010-2014  (2)
  • 2005-2009
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  • 1
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    Using partial least squares (PLS) to estimate canopy nitrogen and biomass of paddy rice in Chinas Sanjiang Plain (2014)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-14
    Description: Abstract
    Description: Nitrogen (N) is one of the most essential elements in agriculture and ecology due to its direct role in determining crop yield and grain quality, as well as its association with canopy photosynthetic capacity and carbon-nitrogen cycling in the earth ecosystem. Remote sensing provides a useful way to capture canopy nitrogen and biomass with high spatial and temporal resolution. However, seasonal dynamics of plant morphophysiological variation hinder the simultaneous estimation of canopy N concentration (%N) and biomass using a traditional method such as vegetation indices because of the distinct dynamics of canopy biochemical and physical traits. In contrast, multivariate analysis method offers the capability of calibrating a model with multiple dependent variables of interest. Therefore, the main objective of this study was to, simultaneously, estimate canopy %N and biomass of rice using the partial least squares regression (PLSR) model. A field experiment was conducted for paddy rice fertilized with five N rates across five growth stages in 2008, located in the Sanjiang Plain, China. Results showed that the PLS regression model simultaneously explained 84% and 91% of the variation in %N and biomass, respectively, across the five growth stages. Our results also suggest that biomass is the dominant factor that affects the link between canopy dynamical traits and canopy reflectance measures. This study demonstrates that, by incorporating with PLSR for retrieving biophysical and biochemical properties from the full-spectrum analysis, to what extent canopy %N and biomass can be simultaneously estimated from canopy reflectance measurement.
    Keywords: Nitrogen ; Biomass ; Hyperspectral ; Remote Sensing ; Agriculture ; 550 Earth sciences
    Language: English
    Type: Text , Workshop paper
    Format: 5 Pages
    Format: 1130 Kilobytes
    Format: application/pdf
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  • 2
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    Integrated Climate Data Center (ICDC) at the Cluster of Excellence at the University of Hamburg (2010)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-14
    Description: Abstract
    Description: At the KlimaCampus (http://www.klimacampus.de), Cluster of Excellence at the University of Hamburg, an Integrated Climate Data Center (ICDC: http://www.icdc.zmaw.de) is established, suitable for data during the scientific project phase as well as storing long-term archive data. ICDC aims to make data out of different internal and external archives easily accessible for the daily work of the KlimaCampus scientists. It extends the existing services by the announcement of data during the scientific project phase, a data portal and collaboration services. Therein, ICDC utilizes the available infrastructure at the WDC Climate by using it for metadata storage and as a long-term archive. The concept of ICDC, its functionality, its implementation status, and future perspectives are presented.
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 127-135
    Keywords: Earth System Science ; Climate Research ; Data Portal ; Metadata ; Data Management
    Language: English
    Type: Text , Workshop paper
    Format: 1841 Kilobytes
    Format: 9 Pages
    Format: application/pdf
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    DATA GFZ
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