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  • Data  (5)
  • Remote Sensing  (4)
  • Al2SiO5  (1)
  • English  (5)
  • 2010-2014  (5)
  • 1945-1949
  • 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
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    DATA GFZ
  • 2
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    Preface (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: From 18th - 19th of November, 2010, the 'Workshop on Remote Sensing Methods for Change Detection and Process modelling' was held at the University of Cologne, Germany. This workshop was organized by the Working Group 5 'Methods for Change Detection and Process Modelling' within the Commission VII 'Thematic Processing, Modelling and Analysis or Remotely Sensed Data' of the International Society for Photogrammetry and Remote Sensing (ISPRS). Three research projects actively supported the workshop. The CRC/TR32 'Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling, and Data Assimilation' as well as the CRC 806 'Our way to Europe: Culture-Environment Interaction and Human Mobility in the Later Quaternary', both Collaborative Research Centres of the German Research Foundation (DFG). Within the CROP.SENSe.net (funded by the German Federal Ministry of Education and Research, BMBF), sensor methods for monitoring crops are investigated. Finally, the workshop was supported by the International Centre for Agro-Informatics and Sustainable Development (ICASD), which was founded in cooperation with the China Agricultural University and the u CROP.SENSe.net University of Cologne. The goal of the workshop was to bring together scientific disciplines as disparate as geography, soil sciences, plant physiology, hydrology, meteorology, prehistory, archaeology, agronomy, remote sensing, and geoinformatics. The workshop was based on 14 invited talks and unusual long coffee breaks, parallel to poster sessions to encourage and support discussion. The diverse program attracted nearly 40 poster presentations and approximately 90 participants. The papers and abstracts of the workshop are summarized in the workshop proceedings.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. III
    Keywords: Remote Sensing Methods ; Remote Sensing
    Language: English
    Type: Text , Workshop paper
    Format: 409 Kilobytes
    Format: 1 Pages
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    DATA GFZ
  • 3
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    LIDAR-based remote sensing for archaeological applications (2011)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The Airborne Laser Scanning (ALS) technology, also referred to as LIDAR (Light Detection And Ranging), represents the most relevant advancement of Earth Observation (EO) techniques applied to archaeological research in the last decade. It allows us to overcome some limits of satellite optical remote sensing in detecting archaeological remains covered by dense vegetation as well as microrelief of cultural interest in bare-ground sites. Currently, a LIDAR survey can be carried out by using two different types of ALS sensor systems: (i) conventional scanners or discrete echo scanners, and (ii) Full-Waveform (FW) scanners. The first one generally delivers only the first and last echo, thus losing many other reflections. The second one is able to detect the entire echo waveform for each emitted laser beam, thus offering improved capabilities especially in areas with complex morphology and/or dense vegetation cover. This paper shows the results obtained by processing point clouds taken from FW scanners for two emblematic study cases in Southern Italy. The first one is the abandoned medieval village of Monte Serico, located on a bare-ground hilly plateau, the second one is the Bosco dellIncoronata. By using an approach based on the use and processing of different shaded Digital Terrain Models (DTMs), the study allowed us to improve the reconstruction of the urban fabric and the paleoenvironmental setting, respectively.
    Description: SeriesInformation
    Description: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 79-91
    Keywords: LIDAR ; Remote Sensing
    Language: English
    Type: Text , Workshop paper
    Format: 2389 Kilobytes
    Format: 13 Pages
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    DATA GFZ
  • 4
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    XRD of Cuttings of the KTB Pilot Hole HB1 (2010)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2021-08-13
    Description: Abstract
    Description: The qualitative and quantitative phase analyses were performed in the KTB field laboratory by x-ray powder diffraction using SIEMENS D 500 diffractometer. During early stages of the KTB project a new method for quantitative phase analysis was developed (see references below). The method is based on the comparison of the diffraction spectrum of the unknown sample with those of pure minerals. The powder diffraction data of the minerals are stored in a database built up of 250 natural minerals separated from various types of igneous and metamorphic rocks. The complete analyses (radiation: Cu K alpha, lambda: 1,5405Å, stepwidth: 0,01°, counting time 2 sec/step, angle 2-80°) was carried out automatically including computations. The results of this quantitative phase analysis were used e.g. to check thin section petrography (and vice versa) and to construct a \"mineralogical rock composition log\".
    Keywords: German Continental Deep Drilling Program ; Land based ; Accessories ; Al2SiO5 ; Amphiboles ; Biotites ; Carbonates ; Chlorite ; Clinopyroxene ; Date of Sampling ; Epidote ; Garnet ; Olivine ; Orthopyroxene ; Oxyde Ores ; Plagioclases ; Potassium Feldspars ; Quartz ; Serpentine ; Spinels ; Sulfidic Ores ; White Mica ; X-ray diffraction ; Zeolite
    Language: English
    Type: Dataset , Dataset
    Format: 60459 DataPoints
    Format: text/tab-separated-values
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  • 5
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    Data Management at the ICSU/WMO World Data Center for Remote Sensing of the Atmosphere (WDC-RSAT) (2010)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-14
    Description: Abstract
    Description: WDC-RSAT is hosted and operated by the German Remote Sensing Data Center, DFD of the German Aerospace Center (DLR) under the nongovernmental auspices of the International Council for Science (ICSU) and is the most recent data center in the WMO-WDC family, in cooperation with the World Meteorological Organization (WMO). WDC-RSAT cooperates with partners in establishing and making use of modern information technologies (e.g. Grid) in order to promote networking. It is already being implemented as a data publication agent for data related to remote sensing of the atmosphere and is thus authorized to assign so-called Digital Object Identifiers (DOI) to data sets. The German ICSU WDCs (WDC-Climate, WDC-Mare, WDC-Terra, and WDC-RSAT) have formed in 2004 the 'WDC-Cluster on Earth System Research' in order to promote interdisciplinary research related to Earth sciences. Following the recommendations of the Committee of Earth Observation Satellites (CEOS), WDC-RSAT is currently establishing in cooperation with NASA a portal for satellite-based atmospheric composition data (ACC) which ultimately will be integrated in the Global Earth Observation System of Systems (GEOSS).
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 119-125
    Keywords: Data Management ; Metadata ; Remote Sensing ; Atmosphere
    Language: English
    Type: Text , Workshop paper
    Format: 495 Kilobytes
    Format: 7 Pages
    Format: application/pdf
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    DATA GFZ
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