rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Environmental Modeling Using Satellite Imaging and Dataset Re-processing
  name:
    name part: Emetere, Moses Eterigho.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 227 p. 246 illus., 207 illus. in color. online resource.
  abstract: This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling. Experiments or procedures that yield large images can be statistically or parametrically examined. Through the use of open source libraries, the book shows how 'big data' in the form of images or datasets can be comparatively analysed along same defined procedures or standards. This book helps to solve the challenges of discarding datasets that are relevant directly or indirectly to the research. The habit of screening datasets leads to the discard of over 90% of the original dataset or images generated in the experiments or procedure. If the images or datasets are generated under the same principles or conditions, then each measurement may be the narrative of unique events. The focus of this book is to enlighten researchers on how to analyse measurements with the aim of ensuring 100% utilization.
  table of contents: Introduction to Computational Techniques -- An Overview of Theoretical Dynamics -- Image Re-Processing of Satellite -- Big Data and Further Analysis -- Conclusion.
  note: by Moses Eterigho Emetere.
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Big data
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Environmental monitoring
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Big Data
  subject:
    topic: Mathematical and Computational Engineering
  subject:
    topic: Monitoring/Environmental Analysis
  classification: TK5102.9
  classification: TA1637-1638
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Big Data, 54
  identifier: 9783030134051
  identifier: https://doi.org/10.1007/978-3-030-13405-1
  record info:
    record creation date: 190221
    record change date: 20191022151038.0
    record identifier: 978-3-030-13405-1