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    AEOG
    2015
    7views Artificial Intelligence» more  AEOG 2015»
    Using ontological inference and hierarchical matchmaking to overcome semantic heterogeneity in remote sensing-based biodiversity
    8 years 27 days ago
    Using ontological inference and hierarchical matchmaking to overcome semantic heterogeneity in remote sensing-based biodiversity
    Download  www.researchgate.net
    Ontology-based applications hold promise in improving spatial data interoperability. In this work we use remote sensing-based biodiversity information and apply semantic formalisa...
    Simon Nieland, Birgit Kleinschmit, Michael Fö...
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    AEOG
    2015
    16views Artificial Intelligence» more  AEOG 2015»
    Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldVi
    8 years 27 days ago
    Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldVi
    Download  researchspace.csir.co.za
    Land use and climate change could have huge impacts on food security and the health of various ecosystems. Leaf nitrogen (N) and above-ground biomass are some of the key factors l...
    Abel Ramoelo, Moses Azong Cho, Renaud Mathieu, S. ...
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    AEOG
    2015
    6views Artificial Intelligence» more  AEOG 2015»
    The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK
    8 years 27 days ago
    The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK
    Download  nora.nerc.ac.uk
      Satellite radar interferometry is a well‐documented technique for the characterization of ground motions over  large spatial areas. However, the measurement...
    Luke Bateson, Francesca Cigna, David Boon, Andrew ...
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    AEOG
    2015
    22views Artificial Intelligence» more  AEOG 2015»
    Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series
    8 years 27 days ago
    Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series
    Download  eprints.gla.ac.uk
    : The analysis and classification of land cover is one of the principal applications in terrestrial remote sensing. Due to the seasonal variability of different vegetation types, t...
    Ingmar Nitze, Brian Barrett, Fiona Cawkwell
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    AEOG
    2015
    3views Artificial Intelligence» more  AEOG 2015»
    Satellite monitoring of urbanization and environmental impacts - A comparison of Stockholm and Shanghai
    8 years 27 days ago
    Satellite monitoring of urbanization and environmental impacts - A comparison of Stockholm and Shanghai
    Download  www.landscape.edu.ru
    Jan Haas, Dorothy Furberg, Yifang Ban
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    AEOG
    2015
    4views Artificial Intelligence» more  AEOG 2015»
    Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature
    8 years 27 days ago
    Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature
    Download  dspace.uevora.pt
    Pest risk maps for agricultural use are usually constructed from data obtained from in-situ meteorological weather stations, which are relatively sparsely distributed and are ofte...
    J. R. Marques da Silva, C. V. Damásio, A. M...
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    AEOG
    2015
    2views Artificial Intelligence» more  AEOG 2015»
    The Earth Observation Data for Habitat Monitoring (EODHaM) system
    8 years 27 days ago
    The Earth Observation Data for Habitat Monitoring (EODHaM) system
    Download  hw.oeaw.ac.at
    ribution was double-blind reviewed as extended abstract. As part of the Biodiversity Multi-Source Monitoring System (BIO_SOS), a new approach to the classification of Food and Agr...
    Richard M. Lucas, Palma Blonda, Peter Bunting, Gwa...
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    AEOG
    2015
    5views Artificial Intelligence» more  AEOG 2015»
    Geo-reCAPTCHA: Crowdsourcing large amounts of geographic information from earth observation data
    8 years 27 days ago
    Geo-reCAPTCHA: Crowdsourcing large amounts of geographic information from earth observation data
    Download  koenigstuhl.geog.uni-heidelberg.de
    Florian Hillen, Bernhard Höfle
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